Live Cohort
4 Hours / Day Intensive
Next Batch Starts in: 03d 14h 22m 45s
100% Placement Guarantee (Unlimited Drives until Placed)
4.9/5 (2,450+ Placed)
Software Development / Full Stack Development
Online Weekend • 4 Months (16 Weeks)
Live Online
5 Free AI Technical Interviews
Java Full Stack Developer Master Program
An intensive 4-month online weekend live engineering cohort (Sat & Sun • 4 hours/day: 2h live faculty lectures + 2h supervised coding labs) covering Java Full Stack Developer production capstones and 580+ AI interviews, with eligible hiring-drive access under documented placement terms and tuition-refund protection where all policy conditions are met.
Target Roles:
Java Developer
Java Backend Developer
Java Full Stack Developer
Spring Boot Developer
Backend Engineer
Full Stack Software Engineer
Microservices Developer
Software Engineer
Key Skills:
Java
Spring Boot
Microservices
Hibernate
JavaScript
TypeScript
Docker
Kubernetes
Online Weekend
4 Months (16 Weeks)
Placement Guarantee
Unlimited Drives until Placed
26 Capstones
Production Architectures
₹8.5L - ₹32L CTC
128% Average Hike
₹49,999
₹98,999
50% OFF
No-Cost EMI Starting at ₹4,166/month
100% Placement Guarantee or Full Fee Refund Policy
Weekend Program Deliverables:
- Online Weekend Live Sessions (Sat & Sun • 4 Hours / Day)
- 4 Months (16 Weeks) Comprehensive Finish
- Guaranteed Placement Drives until Placed across 1,050+ top companies
- 26 Production Microservices & Capstones with GitHub code reviews
- 580+ Topic Mock Tests & 1-on-1 AI Voice Technical Interviews
Top Hiring Network
Our Graduates Get Marketed to 1,050+ Global Tech Leaders & Unicorns
Continuous corporate interview referrals until job offer letter issuance:
Google
Microsoft
Amazon
Oracle
TCS
Infosys
Wipro
Accenture
Cognizant
Razorpay
Goldman Sachs
Uber
Swiggy
Adobe
Salesforce
Morgan Stanley
Google
Microsoft
Amazon
Oracle
TCS
Infosys
Wipro
Accenture
Cognizant
Razorpay
Goldman Sachs
Uber
Swiggy
Adobe
Salesforce
Morgan Stanley
ONLINE WEEKEND SESSIONS
Sat & Sun • 4 Hours / Day (4 Months)
Online Weekend Master Track: 4 Months of Live Mentorship & Placement Drives
Designed for college students and working professionals, our Online Weekend Master Track delivers intensive 4-hour live sessions every Saturday and Sunday across 16 weeks (4 Months). Complete 128+ hours of live faculty instruction, 26 production capstones, and 580+ AI interviews with unlimited corporate interview drives until you get placed!
SATURDAY • 4 HOURS
Live Architecture & Core Mentorship
2 Hours of interactive enterprise architecture, live faculty coding, and design patterns followed by 2 Hours of supervised capstone development.
SUNDAY • 4 HOURS
Hands-On Labs, Tests & AI Practice
2 Hours of advanced microservices, real-time queues & cloud deployment followed by 2 Hours of timed mock tests and 1-on-1 AI voice interview rounds.
Proven Career Accelerator
94.2% Placement Rate
4-Month Master Roadmap to Guaranteed Placement
We transform you into a battle-tested software engineer ready to clear Tier-1 technical and system design interview rounds in 4 months with weekend online sessions.
MONTH 1 • FOUNDATIONS
Architecture & Core Mechanics
Core OOP, memory mechanics, data structures, algorithms & clean design patterns.
MONTH 2 • FULL STACK
Capstones & Microservices
Build production full stack SaaS, microservices, REST APIs, queues & cloud deployment.
MONTH 3 • ADVANCED LABS
System Design & AI Interviews
Simulate live FAANG interview rounds, timed topic mock tests and AI voice evaluations.
MONTH 4 • PLACEMENT
Corporate Drives until Placed
Resume marketing, hiring drives across 1,050+ partners, and placement guarantee.
Placement Benchmark
128% Average Salary Hike
Projected Target CTC After Program
Industry-verified compensation brackets achieved by graduates across 1,050+ hiring partners:
Entry / Switcher
0–1 Yrs Exp
₹8.5L – ₹14L /yr
Software Engineer I, Junior Backend Developer, Full Stack Associate.
- 260+ Hours Live Mentorship
- 26 Capstone Projects on GitHub
- 580+ AI Technical Interview Scorecards
Mid-level track
1–3 Yrs Exp
₹14L – ₹24L /yr
Full Stack Java Engineer, Spring Boot Microservices Specialist, Cloud Engineer.
- Kafka Event-Driven Architectures
- Redis Caching & Performance Tuning
- Docker, Kubernetes & AWS CI/CD
Product / Senior
3+ Yrs Exp
₹24L – ₹36L+ /yr
Senior Full Stack Engineer, Microservices Architect, Lead Consultant.
- High-Throughput System Design (LLD/HLD)
- Fault Tolerance & Distributed Transactions
- FAANG System Design Clearing Mentorship
Complete Practical Syllabus
Topic-Wise Curriculum & Practice Hub
72 Modules • 583 Deep-Dive Topics • 583 Integrated Topic Mock Tests & AI Interviews
How Software Works, Programming Concepts, Problem Solving, Flowcharts, Pseudocode.
Topic 1.1
How Software Works
Hardware vs software; operating system; compiler; interpreter; source code; binary; runtime.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of How Software Works.
- Apply How Software Works in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
Topic Timed Mock Test
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Topic 1.2
Programming Concepts
Variables; data types; operators; conditions; loops; functions; algorithms.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Programming Concepts.
- Apply Programming Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
Topic Timed Mock Test
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Topic 1.3
Problem Solving
Problem; then; Input; then; Logic; then; Output.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Problem Solving.
- Apply Problem Solving in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 1.4
Flowcharts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Flowcharts.
- Apply Flowcharts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 1.5
Pseudocode
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Pseudocode.
- Apply Pseudocode in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Java Ecosystem, JVM Architecture, Java Installation, IDE, First Java Program.
Topic 2.1
Java Ecosystem
Java; JVM; JRE concepts; JDK.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Java Ecosystem.
- Apply Java Ecosystem in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 2.2
JVM Architecture
Introduction; Class loader; memory; bytecode; execution engine.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JVM Architecture.
- Apply JVM Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 2.3
Java Installation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Java Installation.
- Apply Java Installation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 2.4
IDE
Use; IntelliJ IDEA; VS Code awareness.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of IDE.
- Apply IDE in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 2.5
First Java Program
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of First Java Program.
- Apply First Java Program in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Variables, Primitive Data Types, Reference Types, Operators, Type Conversion, Input / Output, Conditional Statements, Loops, break / continue.
Topic 3.1
Variables
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Variables.
- Apply Variables in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 3.2
Primitive Data Types
Byte; short; int; long; float; double; boolean; char.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Primitive Data Types.
- Apply Primitive Data Types in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 3.3
Reference Types
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Reference Types.
- Apply Reference Types in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 3.4
Operators
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Operators.
- Apply Operators in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 3.5
Type Conversion
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Type Conversion.
- Apply Type Conversion in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 3.6
Input / Output
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Input / Output.
- Apply Input / Output in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 3.7
Conditional Statements
If; else; switch.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Conditional Statements.
- Apply Conditional Statements in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 3.8
Loops
For; while; do-while.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Loops.
- Apply Loops in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 3.9
break / continue
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of break / continue.
- Apply break / continue in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Methods, Scope, Arrays, Multidimensional Arrays, Varargs, Recursion.
Topic 4.1
Methods
Parameters; return values; overloading.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Methods.
- Apply Methods in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 4.2
Scope
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Scope.
- Apply Scope in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 4.3
Arrays
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Arrays.
- Apply Arrays in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 4.4
Multidimensional Arrays
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Multidimensional Arrays.
- Apply Multidimensional Arrays in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 4.5
Varargs
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Varargs.
- Apply Varargs in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 4.6
Recursion
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Recursion.
- Apply Recursion in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Classes, Objects, Constructors, this, static, Encapsulation, Inheritance, Polymorphism, Method Overloading, Method Overriding, Abstraction, Abstract Classes, Interfaces, Composition, Association, SOLID Introduction.
Topic 5.1
Classes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Classes.
- Apply Classes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.2
Objects
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Objects.
- Apply Objects in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.3
Constructors
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Constructors.
- Apply Constructors in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.4
this
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of this.
- Apply this in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.5
static
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of static.
- Apply static in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.6
Encapsulation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Encapsulation.
- Apply Encapsulation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.7
Inheritance
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Inheritance.
- Apply Inheritance in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.8
Polymorphism
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Polymorphism.
- Apply Polymorphism in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.9
Method Overloading
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Method Overloading.
- Apply Method Overloading in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.10
Method Overriding
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Method Overriding.
- Apply Method Overriding in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.11
Abstraction
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Abstraction.
- Apply Abstraction in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.12
Abstract Classes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Abstract Classes.
- Apply Abstract Classes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.13
Interfaces
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Interfaces.
- Apply Interfaces in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.14
Composition
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Composition.
- Apply Composition in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.15
Association
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Association.
- Apply Association in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 5.16
SOLID Introduction
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of SOLID Introduction.
- Apply SOLID Introduction in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Object Class, equals(), hashCode(), toString(), Immutability, Wrapper Classes, Autoboxing, Enums, Records.
Topic 6.1
Object Class
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Object Class.
- Apply Object Class in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 6.2
equals()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of equals().
- Apply equals() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 6.3
hashCode()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of hashCode().
- Apply hashCode() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 6.4
toString()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of toString().
- Apply toString() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 6.5
Immutability
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Immutability.
- Apply Immutability in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 6.6
Wrapper Classes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Wrapper Classes.
- Apply Wrapper Classes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 6.7
Autoboxing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Autoboxing.
- Apply Autoboxing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 6.8
Enums
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Enums.
- Apply Enums in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 6.9
Records
Modern Java topic.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Records.
- Apply Records in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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String, String Pool, StringBuilder, StringBuffer, Common String Operations.
Topic 7.1
String
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of String.
- Apply String in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 7.2
String Pool
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of String Pool.
- Apply String Pool in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 7.3
StringBuilder
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of StringBuilder.
- Apply StringBuilder in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 7.4
StringBuffer
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of StringBuffer.
- Apply StringBuffer in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 7.5
Common String Operations
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Common String Operations.
- Apply Common String Operations in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Exception Hierarchy, Checked Exceptions, Unchecked Exceptions, try / catch, finally, throw, throws, Custom Exceptions, Exception Design.
Topic 8.1
Exception Hierarchy
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Exception Hierarchy.
- Apply Exception Hierarchy in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 8.2
Checked Exceptions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Checked Exceptions.
- Apply Checked Exceptions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 8.3
Unchecked Exceptions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Unchecked Exceptions.
- Apply Unchecked Exceptions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 8.4
try / catch
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of try / catch.
- Apply try / catch in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 8.5
finally
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of finally.
- Apply finally in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 8.6
throw
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of throw.
- Apply throw in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 8.7
throws
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of throws.
- Apply throws in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 8.8
Custom Exceptions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Custom Exceptions.
- Apply Custom Exceptions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 8.9
Exception Design
Avoid swallowing exceptions.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Exception Design.
- Apply Exception Design in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Collection Hierarchy, List, Set, Map, Queue, Deque, Iterator, Comparable, Comparator, Collections Utility, Internal Working of HashMap.
Topic 9.1
Collection Hierarchy
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Collection Hierarchy.
- Apply Collection Hierarchy in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.2
List
ArrayList; LinkedList.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of List.
- Apply List in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.3
Set
HashSet; LinkedHashSet; TreeSet.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Set.
- Apply Set in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.4
Map
HashMap; LinkedHashMap; TreeMap.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Map.
- Apply Map in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.5
Queue
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Queue.
- Apply Queue in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.6
Deque
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Deque.
- Apply Deque in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.7
Iterator
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Iterator.
- Apply Iterator in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.8
Comparable
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Comparable.
- Apply Comparable in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.9
Comparator
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Comparator.
- Apply Comparator in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.10
Collections Utility
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Collections Utility.
- Apply Collections Utility in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 9.11
Internal Working of HashMap
Important interview topic.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Internal Working of HashMap.
- Apply Internal Working of HashMap in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Why Generics?, Generic Classes, Generic Methods, Bounded Types, Wildcards.
Topic 10.1
Why Generics?
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Why Generics?.
- Apply Why Generics? in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 10.2
Generic Classes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Generic Classes.
- Apply Generic Classes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 10.3
Generic Methods
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Generic Methods.
- Apply Generic Methods in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 10.4
Bounded Types
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Bounded Types.
- Apply Bounded Types in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 10.5
Wildcards
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Wildcards.
- Apply Wildcards in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Lambda Expressions, Functional Interfaces, Predicate, Function, Consumer, Supplier, Method References.
Topic 11.1
Lambda Expressions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
34 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Lambda Expressions.
- Apply Lambda Expressions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 11.2
Functional Interfaces
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
34 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Functional Interfaces.
- Apply Functional Interfaces in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 11.3
Predicate
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
34 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Predicate.
- Apply Predicate in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 11.4
Function
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
34 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Function.
- Apply Function in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 11.5
Consumer
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
34 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Consumer.
- Apply Consumer in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 11.6
Supplier
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
34 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Supplier.
- Apply Supplier in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 11.7
Method References
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
34 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Method References.
- Apply Method References in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Streams, map(), filter(), reduce(), collect(), sorting, groupingBy(), partitioningBy(), Parallel Streams.
Topic 12.1
Streams
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Streams.
- Apply Streams in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 12.2
map()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of map().
- Apply map() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 12.3
filter()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of filter().
- Apply filter() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 12.4
reduce()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of reduce().
- Apply reduce() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 12.5
collect()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of collect().
- Apply collect() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 12.6
sorting
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of sorting.
- Apply sorting in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 12.7
groupingBy()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of groupingBy().
- Apply groupingBy() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 12.8
partitioningBy()
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of partitioningBy().
- Apply partitioningBy() in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 12.9
Parallel Streams
Teach benefits and risks.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Parallel Streams.
- Apply Parallel Streams in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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var, Records, Sealed Classes, Pattern Matching, Modern Switch Expressions, Text Blocks, Optional, Modern Date-Time API, Virtual Threads.
Topic 13.1
var
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of var.
- Apply var in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 13.2
Records
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Records.
- Apply Records in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 13.3
Sealed Classes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Sealed Classes.
- Apply Sealed Classes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 13.4
Pattern Matching
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Pattern Matching.
- Apply Pattern Matching in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 13.5
Modern Switch Expressions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Modern Switch Expressions.
- Apply Modern Switch Expressions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 13.6
Text Blocks
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Text Blocks.
- Apply Text Blocks in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 13.7
Optional
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Optional.
- Apply Optional in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 13.8
Modern Date-Time API
LocalDate; LocalDateTime; ZonedDateTime; Duration; Period.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Modern Date-Time API.
- Apply Modern Date-Time API in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 13.9
Virtual Threads
Important modern concurrency topic; Students understand appropriate use cases rather than treating them as universal replacement for all threading strategies.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Virtual Threads.
- Apply Virtual Threads in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Files, Paths, Buffered I/O, Serialization Concepts, NIO Basics.
Topic 14.1
Files
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Files.
- Apply Files in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 14.2
Paths
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Paths.
- Apply Paths in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 14.3
Buffered I/O
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Buffered I/O.
- Apply Buffered I/O in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 14.4
Serialization Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Serialization Concepts.
- Apply Serialization Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 14.5
NIO Basics
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of NIO Basics.
- Apply NIO Basics in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Process vs Thread, Thread Lifecycle, Runnable, Callable, Synchronization, Race Conditions, Deadlocks, volatile, Locks, ExecutorService, Thread Pools, Future, CompletableFuture, Concurrent Collections, Virtual Threads.
Topic 15.1
Process vs Thread
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Process vs Thread.
- Apply Process vs Thread in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.2
Thread Lifecycle
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Thread Lifecycle.
- Apply Thread Lifecycle in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.3
Runnable
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Runnable.
- Apply Runnable in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.4
Callable
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Callable.
- Apply Callable in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.5
Synchronization
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Synchronization.
- Apply Synchronization in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.6
Race Conditions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Race Conditions.
- Apply Race Conditions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.7
Deadlocks
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Deadlocks.
- Apply Deadlocks in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.8
volatile
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of volatile.
- Apply volatile in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.9
Locks
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Locks.
- Apply Locks in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.10
ExecutorService
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of ExecutorService.
- Apply ExecutorService in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.11
Thread Pools
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Thread Pools.
- Apply Thread Pools in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.12
Future
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Future.
- Apply Future in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.13
CompletableFuture
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CompletableFuture.
- Apply CompletableFuture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.14
Concurrent Collections
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Concurrent Collections.
- Apply Concurrent Collections in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 15.15
Virtual Threads
Hands-on comparison.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Virtual Threads.
- Apply Virtual Threads in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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JVM Memory, Garbage Collection, Object Lifecycle, Memory Leaks, GC Concepts, JVM Options, Profiling Concepts.
Topic 16.1
JVM Memory
Heap; metaspace.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JVM Memory.
- Apply JVM Memory in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 16.2
Garbage Collection
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Garbage Collection.
- Apply Garbage Collection in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 16.3
Object Lifecycle
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Object Lifecycle.
- Apply Object Lifecycle in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 16.4
Memory Leaks
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Memory Leaks.
- Apply Memory Leaks in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 16.5
GC Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of GC Concepts.
- Apply GC Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 16.6
JVM Options
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JVM Options.
- Apply JVM Options in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 16.7
Profiling Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Profiling Concepts.
- Apply Profiling Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Build Tools, Maven, pom.xml, Dependencies, Plugins, Build Lifecycle, Profiles, Multi-Module Projects.
Topic 17.1
Build Tools
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Build Tools.
- Apply Build Tools in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 17.2
Maven
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Maven.
- Apply Maven in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 17.3
pom.xml
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of pom.xml.
- Apply pom.xml in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 17.4
Dependencies
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Dependencies.
- Apply Dependencies in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 17.5
Plugins
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Plugins.
- Apply Plugins in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 17.6
Build Lifecycle
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Build Lifecycle.
- Apply Build Lifecycle in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 17.7
Profiles
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Profiles.
- Apply Profiles in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 17.8
Multi-Module Projects
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Multi-Module Projects.
- Apply Multi-Module Projects in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Git Fundamentals, Repository, Commit, Branch, Merge, Rebase Concepts, Merge Conflict, Pull Request, Code Review, Git Workflow.
Topic 18.1
Git Fundamentals
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Git Fundamentals.
- Apply Git Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.2
Repository
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Repository.
- Apply Repository in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.3
Commit
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Commit.
- Apply Commit in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.4
Branch
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Branch.
- Apply Branch in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.5
Merge
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Merge.
- Apply Merge in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.6
Rebase Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rebase Concepts.
- Apply Rebase Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.7
Merge Conflict
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Merge Conflict.
- Apply Merge Conflict in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.8
Pull Request
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Pull Request.
- Apply Pull Request in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.9
Code Review
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Code Review.
- Apply Code Review in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 18.10
Git Workflow
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Git Workflow.
- Apply Git Workflow in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Relational Databases, Tables, Primary Keys, Foreign Keys, Constraints, Normalization.
Topic 19.1
Relational Databases
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Relational Databases.
- Apply Relational Databases in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 19.2
Tables
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Tables.
- Apply Tables in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 19.3
Primary Keys
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Primary Keys.
- Apply Primary Keys in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 19.4
Foreign Keys
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Foreign Keys.
- Apply Foreign Keys in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 19.5
Constraints
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Constraints.
- Apply Constraints in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 19.6
Normalization
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Normalization.
- Apply Normalization in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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SELECT, INSERT, UPDATE, DELETE, WHERE, ORDER BY, GROUP BY, HAVING, Joins, Subqueries, CTEs, Window Functions, Transactions, ACID, Indexing, Query Optimization.
Topic 20.1
SELECT
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of SELECT.
- Apply SELECT in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.2
INSERT
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of INSERT.
- Apply INSERT in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.3
UPDATE
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of UPDATE.
- Apply UPDATE in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.4
DELETE
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of DELETE.
- Apply DELETE in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.5
WHERE
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of WHERE.
- Apply WHERE in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.6
ORDER BY
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of ORDER BY.
- Apply ORDER BY in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.7
GROUP BY
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of GROUP BY.
- Apply GROUP BY in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.8
HAVING
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of HAVING.
- Apply HAVING in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.9
Joins
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Joins.
- Apply Joins in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.10
Subqueries
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Subqueries.
- Apply Subqueries in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.11
CTEs
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CTEs.
- Apply CTEs in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.12
Window Functions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Window Functions.
- Apply Window Functions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.13
Transactions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Transactions.
- Apply Transactions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.14
ACID
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of ACID.
- Apply ACID in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.15
Indexing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Indexing.
- Apply Indexing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 20.16
Query Optimization
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Query Optimization.
- Apply Query Optimization in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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JDBC Architecture, Connections, Statement, PreparedStatement, ResultSet, Transactions, Batch Operations, Connection Pooling Concepts.
Topic 21.1
JDBC Architecture
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JDBC Architecture.
- Apply JDBC Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 21.2
Connections
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Connections.
- Apply Connections in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 21.3
Statement
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Statement.
- Apply Statement in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 21.4
PreparedStatement
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of PreparedStatement.
- Apply PreparedStatement in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 21.5
ResultSet
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of ResultSet.
- Apply ResultSet in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 21.6
Transactions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Transactions.
- Apply Transactions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 21.7
Batch Operations
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Batch Operations.
- Apply Batch Operations in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 21.8
Connection Pooling Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Connection Pooling Concepts.
- Apply Connection Pooling Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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HTTP, HTTPS, Request / Response, HTTP Methods, Status Codes, Headers, Cookies, Sessions, JSON, REST.
Topic 22.1
HTTP
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of HTTP.
- Apply HTTP in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.2
HTTPS
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of HTTPS.
- Apply HTTPS in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.3
Request / Response
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Request / Response.
- Apply Request / Response in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.4
HTTP Methods
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of HTTP Methods.
- Apply HTTP Methods in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.5
Status Codes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Status Codes.
- Apply Status Codes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.6
Headers
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Headers.
- Apply Headers in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.7
Cookies
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Cookies.
- Apply Cookies in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.8
Sessions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Sessions.
- Apply Sessions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.9
JSON
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JSON.
- Apply JSON in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 22.10
REST
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of REST.
- Apply REST in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Why Spring?, IoC, Dependency Injection, Beans, Bean Lifecycle, Component Scanning, Configuration, Profiles, Externalized Configuration.
Topic 23.1
Why Spring?
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Why Spring?.
- Apply Why Spring? in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 23.2
IoC
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of IoC.
- Apply IoC in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 23.3
Dependency Injection
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Dependency Injection.
- Apply Dependency Injection in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 23.4
Beans
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Beans.
- Apply Beans in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 23.5
Bean Lifecycle
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Bean Lifecycle.
- Apply Bean Lifecycle in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 23.6
Component Scanning
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Component Scanning.
- Apply Component Scanning in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 23.7
Configuration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Configuration.
- Apply Configuration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 23.8
Profiles
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Profiles.
- Apply Profiles in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 23.9
Externalized Configuration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Externalized Configuration.
- Apply Externalized Configuration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Spring Boot Architecture, Project Creation, Auto Configuration, Starters, application.properties, YAML, Profiles, Configuration Properties, Actuator, Logging, Health Checks.
Topic 24.1
Spring Boot Architecture
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Spring Boot Architecture.
- Apply Spring Boot Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.2
Project Creation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Project Creation.
- Apply Project Creation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.3
Auto Configuration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Auto Configuration.
- Apply Auto Configuration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.4
Starters
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Starters.
- Apply Starters in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.5
application.properties
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of application.properties.
- Apply application.properties in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.6
YAML
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of YAML.
- Apply YAML in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.7
Profiles
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Profiles.
- Apply Profiles in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.8
Configuration Properties
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Configuration Properties.
- Apply Configuration Properties in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.9
Actuator
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Actuator.
- Apply Actuator in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.10
Logging
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Logging.
- Apply Logging in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 24.11
Health Checks
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Health Checks.
- Apply Health Checks in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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MVC Architecture, Controllers, Request Mapping, Path Variables, Request Parameters, Request Body, ResponseEntity, Exception Handling, Global Exception Handler.
Topic 25.1
MVC Architecture
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of MVC Architecture.
- Apply MVC Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 25.2
Controllers
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Controllers.
- Apply Controllers in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 25.3
Request Mapping
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Request Mapping.
- Apply Request Mapping in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 25.4
Path Variables
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Path Variables.
- Apply Path Variables in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 25.5
Request Parameters
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Request Parameters.
- Apply Request Parameters in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 25.6
Request Body
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Request Body.
- Apply Request Body in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 25.7
ResponseEntity
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of ResponseEntity.
- Apply ResponseEntity in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 25.8
Exception Handling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Exception Handling.
- Apply Exception Handling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 25.9
Global Exception Handler
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Global Exception Handler.
- Apply Global Exception Handler in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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REST Principles, Resource Design, HTTP Semantics, Status Codes, DTOs, Validation, Pagination, Sorting, Filtering, Search, API Versioning, Error Response Standard, OpenAPI / Swagger.
Topic 26.1
REST Principles
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of REST Principles.
- Apply REST Principles in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.2
Resource Design
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Resource Design.
- Apply Resource Design in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.3
HTTP Semantics
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of HTTP Semantics.
- Apply HTTP Semantics in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.4
Status Codes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Status Codes.
- Apply Status Codes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.5
DTOs
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of DTOs.
- Apply DTOs in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.6
Validation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Validation.
- Apply Validation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.7
Pagination
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Pagination.
- Apply Pagination in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.8
Sorting
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Sorting.
- Apply Sorting in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.9
Filtering
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Filtering.
- Apply Filtering in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.10
Search
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Search.
- Apply Search in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.11
API Versioning
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of API Versioning.
- Apply API Versioning in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.12
Error Response Standard
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Error Response Standard.
- Apply Error Response Standard in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 26.13
OpenAPI / Swagger
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of OpenAPI / Swagger.
- Apply OpenAPI / Swagger in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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ORM, Entity, Entity Lifecycle, Repository, JpaRepository, Relationships, Lazy vs Eager, Cascades, Transactions, JPQL, Native SQL, Specifications Concepts, Pagination, N+1 Problem, Entity Graph Concepts, Query Performance.
Topic 27.1
ORM
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of ORM.
- Apply ORM in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.2
Entity
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Entity.
- Apply Entity in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.3
Entity Lifecycle
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Entity Lifecycle.
- Apply Entity Lifecycle in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.4
Repository
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Repository.
- Apply Repository in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.5
JpaRepository
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JpaRepository.
- Apply JpaRepository in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.6
Relationships
OneToOne; OneToMany; ManyToOne; ManyToMany.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Relationships.
- Apply Relationships in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.7
Lazy vs Eager
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Lazy vs Eager.
- Apply Lazy vs Eager in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.8
Cascades
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Cascades.
- Apply Cascades in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.9
Transactions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Transactions.
- Apply Transactions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.10
JPQL
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JPQL.
- Apply JPQL in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.11
Native SQL
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Native SQL.
- Apply Native SQL in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.12
Specifications Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Specifications Concepts.
- Apply Specifications Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.13
Pagination
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Pagination.
- Apply Pagination in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.14
N+1 Problem
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of N+1 Problem.
- Apply N+1 Problem in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.15
Entity Graph Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Entity Graph Concepts.
- Apply Entity Graph Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 27.16
Query Performance
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Query Performance.
- Apply Query Performance in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Why Database Migrations?, Flyway Concepts, Schema Versioning, Forward Migrations, Rollback Strategy Concepts.
Topic 28.1
Why Database Migrations?
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Why Database Migrations?.
- Apply Why Database Migrations? in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 28.2
Flyway Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Flyway Concepts.
- Apply Flyway Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 28.3
Schema Versioning
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Schema Versioning.
- Apply Schema Versioning in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 28.4
Forward Migrations
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Forward Migrations.
- Apply Forward Migrations in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 28.5
Rollback Strategy Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rollback Strategy Concepts.
- Apply Rollback Strategy Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Authentication, Authorization, Security Filter Chain, Password Encoding, Roles, Authorities, Method Security, CORS, CSRF, Session vs Token Authentication.
Topic 29.1
Authentication
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authentication.
- Apply Authentication in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.2
Authorization
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authorization.
- Apply Authorization in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.3
Security Filter Chain
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Security Filter Chain.
- Apply Security Filter Chain in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.4
Password Encoding
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Password Encoding.
- Apply Password Encoding in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.5
Roles
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Roles.
- Apply Roles in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.6
Authorities
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authorities.
- Apply Authorities in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.7
Method Security
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Method Security.
- Apply Method Security in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.8
CORS
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CORS.
- Apply CORS in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.9
CSRF
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CSRF.
- Apply CSRF in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 29.10
Session vs Token Authentication
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Session vs Token Authentication.
- Apply Session vs Token Authentication in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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JWT Structure, Access Tokens, Refresh Tokens, Token Validation, Expiration, Revocation Concepts, Secure Token Storage.
Topic 30.1
JWT Structure
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JWT Structure.
- Apply JWT Structure in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 30.2
Access Tokens
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Access Tokens.
- Apply Access Tokens in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 30.3
Refresh Tokens
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Refresh Tokens.
- Apply Refresh Tokens in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 30.4
Token Validation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Token Validation.
- Apply Token Validation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 30.5
Expiration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Expiration.
- Apply Expiration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 30.6
Revocation Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Revocation Concepts.
- Apply Revocation Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 30.7
Secure Token Storage
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Secure Token Storage.
- Apply Secure Token Storage in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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OAuth 2.0, OpenID Connect, Authorization Server Concepts, Resource Server, Authorization Code Flow, PKCE Concepts, Social Login Concepts, Enterprise Identity Provider Integration.
Topic 31.1
OAuth 2.0
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of OAuth 2.0.
- Apply OAuth 2.0 in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 31.2
OpenID Connect
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of OpenID Connect.
- Apply OpenID Connect in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 31.3
Authorization Server Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authorization Server Concepts.
- Apply Authorization Server Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 31.4
Resource Server
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Resource Server.
- Apply Resource Server in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 31.5
Authorization Code Flow
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authorization Code Flow.
- Apply Authorization Code Flow in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 31.6
PKCE Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of PKCE Concepts.
- Apply PKCE Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 31.7
Social Login Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Social Login Concepts.
- Apply Social Login Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 31.8
Enterprise Identity Provider Integration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Enterprise Identity Provider Integration.
- Apply Enterprise Identity Provider Integration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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OWASP Awareness, SQL Injection, XSS, CSRF, Broken Access Control, Input Validation, Rate Limiting Concepts, Secrets Management, Secure Headers, Dependency Vulnerabilities.
Topic 32.1
OWASP Awareness
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of OWASP Awareness.
- Apply OWASP Awareness in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.2
SQL Injection
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of SQL Injection.
- Apply SQL Injection in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.3
XSS
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of XSS.
- Apply XSS in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.4
CSRF
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CSRF.
- Apply CSRF in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.5
Broken Access Control
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Broken Access Control.
- Apply Broken Access Control in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.6
Input Validation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Input Validation.
- Apply Input Validation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.7
Rate Limiting Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rate Limiting Concepts.
- Apply Rate Limiting Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.8
Secrets Management
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Secrets Management.
- Apply Secrets Management in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.9
Secure Headers
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Secure Headers.
- Apply Secure Headers in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 32.10
Dependency Vulnerabilities
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Dependency Vulnerabilities.
- Apply Dependency Vulnerabilities in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Modular Monolith, Layers, Domain Layer, DTO Mapping, Package Structure.
Topic 33.1
Modular Monolith
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Modular Monolith.
- Apply Modular Monolith in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 33.2
Layers
Controller; Service; Repository.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Layers.
- Apply Layers in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 33.3
Domain Layer
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Domain Layer.
- Apply Domain Layer in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 33.4
DTO Mapping
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of DTO Mapping.
- Apply DTO Mapping in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 33.5
Package Structure
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Package Structure.
- Apply Package Structure in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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What Are Microservices?, Monolith vs Microservices, Service Boundaries, Database per Service, Loose Coupling, Independent Deployment, Distributed System Challenges.
Topic 34.1
What Are Microservices?
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of What Are Microservices?.
- Apply What Are Microservices? in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 34.2
Monolith vs Microservices
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Monolith vs Microservices.
- Apply Monolith vs Microservices in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 34.3
Service Boundaries
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Service Boundaries.
- Apply Service Boundaries in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 34.4
Database per Service
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Database per Service.
- Apply Database per Service in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 34.5
Loose Coupling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Loose Coupling.
- Apply Loose Coupling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 34.6
Independent Deployment
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Independent Deployment.
- Apply Independent Deployment in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 34.7
Distributed System Challenges
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Distributed System Challenges.
- Apply Distributed System Challenges in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Synchronous Communication, Declarative HTTP Clients, Asynchronous Communication, Timeout, Retry, Idempotency, Correlation IDs.
Topic 35.1
Synchronous Communication
REST.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Synchronous Communication.
- Apply Synchronous Communication in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 35.2
Declarative HTTP Clients
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Declarative HTTP Clients.
- Apply Declarative HTTP Clients in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 35.3
Asynchronous Communication
Events.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Asynchronous Communication.
- Apply Asynchronous Communication in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 35.4
Timeout
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Timeout.
- Apply Timeout in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 35.5
Retry
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Retry.
- Apply Retry in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 35.6
Idempotency
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Idempotency.
- Apply Idempotency in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 35.7
Correlation IDs
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Correlation IDs.
- Apply Correlation IDs in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Gateway Pattern, Routing, Authentication, Rate Limiting Concepts, Request Filtering.
Topic 36.1
Gateway Pattern
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Gateway Pattern.
- Apply Gateway Pattern in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 36.2
Routing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Routing.
- Apply Routing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 36.3
Authentication
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authentication.
- Apply Authentication in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 36.4
Rate Limiting Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rate Limiting Concepts.
- Apply Rate Limiting Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 36.5
Request Filtering
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Request Filtering.
- Apply Request Filtering in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Service Discovery Concepts, Central Configuration, Environment Configuration, Kubernetes-Native Discovery Awareness.
Topic 37.1
Service Discovery Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
45 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Service Discovery Concepts.
- Apply Service Discovery Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 37.2
Central Configuration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
45 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Central Configuration.
- Apply Central Configuration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 37.3
Environment Configuration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
45 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Environment Configuration.
- Apply Environment Configuration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 37.4
Kubernetes-Native Discovery Awareness
Avoid teaching older service-discovery tools as the only modern approach.
High-Frequency Interview Topic
45 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Kubernetes-Native Discovery Awareness.
- Apply Kubernetes-Native Discovery Awareness in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Distributed Failure, Timeout, Retry, Circuit Breaker, Bulkhead Concepts, Rate Limiting, Resilience4j Concepts.
Topic 38.1
Distributed Failure
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Distributed Failure.
- Apply Distributed Failure in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 38.2
Timeout
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Timeout.
- Apply Timeout in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 38.3
Retry
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Retry.
- Apply Retry in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 38.4
Circuit Breaker
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Circuit Breaker.
- Apply Circuit Breaker in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 38.5
Bulkhead Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Bulkhead Concepts.
- Apply Bulkhead Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 38.6
Rate Limiting
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rate Limiting.
- Apply Rate Limiting in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 38.7
Resilience4j Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Resilience4j Concepts.
- Apply Resilience4j Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Why ACID Across Services Is Difficult, Saga Pattern, Choreography, Orchestration, Compensation, Transactional Outbox Pattern.
Topic 39.1
Why ACID Across Services Is Difficult
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Why ACID Across Services Is Difficult.
- Apply Why ACID Across Services Is Difficult in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 39.2
Saga Pattern
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Saga Pattern.
- Apply Saga Pattern in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 39.3
Choreography
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Choreography.
- Apply Choreography in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 39.4
Orchestration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Orchestration.
- Apply Orchestration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 39.5
Compensation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Compensation.
- Apply Compensation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 39.6
Transactional Outbox Pattern
Important production pattern.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Transactional Outbox Pattern.
- Apply Transactional Outbox Pattern in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Event-Driven Architecture, Kafka Architecture, Producer, Consumer, Consumer Groups, Offset, Keys, Ordering, Replication Concepts, Delivery Semantics, Serialization, Schema Evolution Concepts, Retry Topics, Dead-Letter Topic.
Topic 40.1
Event-Driven Architecture
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Event-Driven Architecture.
- Apply Event-Driven Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.2
Kafka Architecture
Broker; topic; partition.
High-Frequency Interview Topic
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Kafka Architecture.
- Apply Kafka Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.3
Producer
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Producer.
- Apply Producer in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.4
Consumer
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Consumer.
- Apply Consumer in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.5
Consumer Groups
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Consumer Groups.
- Apply Consumer Groups in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.6
Offset
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Offset.
- Apply Offset in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.7
Keys
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Keys.
- Apply Keys in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.8
Ordering
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Ordering.
- Apply Ordering in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.9
Replication Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Replication Concepts.
- Apply Replication Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.10
Delivery Semantics
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Delivery Semantics.
- Apply Delivery Semantics in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.11
Serialization
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Serialization.
- Apply Serialization in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.12
Schema Evolution Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Schema Evolution Concepts.
- Apply Schema Evolution Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.13
Retry Topics
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Retry Topics.
- Apply Retry Topics in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 40.14
Dead-Letter Topic
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
21 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Dead-Letter Topic.
- Apply Dead-Letter Topic in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Caching, Cache-Aside Pattern, TTL, Cache Invalidation, Redis Data Types Awareness, Distributed Session Concepts, Rate Limiting Concepts.
Topic 41.1
Caching
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Caching.
- Apply Caching in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 41.2
Cache-Aside Pattern
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Cache-Aside Pattern.
- Apply Cache-Aside Pattern in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 41.3
TTL
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of TTL.
- Apply TTL in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 41.4
Cache Invalidation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Cache Invalidation.
- Apply Cache Invalidation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 41.5
Redis Data Types Awareness
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Redis Data Types Awareness.
- Apply Redis Data Types Awareness in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 41.6
Distributed Session Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Distributed Session Concepts.
- Apply Distributed Session Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 41.7
Rate Limiting Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rate Limiting Concepts.
- Apply Rate Limiting Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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NoSQL Fundamentals, Document Databases, Collections, Documents, Embedding vs Referencing Concepts, When SQL vs NoSQL?.
Topic 42.1
NoSQL Fundamentals
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of NoSQL Fundamentals.
- Apply NoSQL Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 42.2
Document Databases
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Document Databases.
- Apply Document Databases in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 42.3
Collections
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Collections.
- Apply Collections in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 42.4
Documents
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Documents.
- Apply Documents in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 42.5
Embedding vs Referencing Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Embedding vs Referencing Concepts.
- Apply Embedding vs Referencing Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 42.6
When SQL vs NoSQL?
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of When SQL vs NoSQL?.
- Apply When SQL vs NoSQL? in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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HTML5, Semantic HTML, Forms, Accessibility, CSS, Flexbox, CSS Grid, Responsive Design.
Topic 43.1
HTML5
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of HTML5.
- Apply HTML5 in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 43.2
Semantic HTML
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Semantic HTML.
- Apply Semantic HTML in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 43.3
Forms
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Forms.
- Apply Forms in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 43.4
Accessibility
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Accessibility.
- Apply Accessibility in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 43.5
CSS
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CSS.
- Apply CSS in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 43.6
Flexbox
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Flexbox.
- Apply Flexbox in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 43.7
CSS Grid
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CSS Grid.
- Apply CSS Grid in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 43.8
Responsive Design
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Responsive Design.
- Apply Responsive Design in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Variables, Functions, Arrays, Objects, Scope, Closures, ES Modules, Destructuring, Spread / Rest, Promises, async / await, Fetch API, Error Handling.
Topic 44.1
Variables
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Variables.
- Apply Variables in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.2
Functions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Functions.
- Apply Functions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.3
Arrays
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Arrays.
- Apply Arrays in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.4
Objects
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Objects.
- Apply Objects in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.5
Scope
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Scope.
- Apply Scope in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.6
Closures
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Closures.
- Apply Closures in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.7
ES Modules
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of ES Modules.
- Apply ES Modules in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.8
Destructuring
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Destructuring.
- Apply Destructuring in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.9
Spread / Rest
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Spread / Rest.
- Apply Spread / Rest in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.10
Promises
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Promises.
- Apply Promises in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.11
async / await
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of async / await.
- Apply async / await in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.12
Fetch API
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Fetch API.
- Apply Fetch API in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 44.13
Error Handling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
23 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Error Handling.
- Apply Error Handling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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TypeScript Fundamentals, Primitive Types, Interfaces, Type Aliases, Union Types, Generics, Utility Types, API Model Typing.
Topic 45.1
TypeScript Fundamentals
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of TypeScript Fundamentals.
- Apply TypeScript Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 45.2
Primitive Types
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Primitive Types.
- Apply Primitive Types in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 45.3
Interfaces
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Interfaces.
- Apply Interfaces in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 45.4
Type Aliases
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Type Aliases.
- Apply Type Aliases in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 45.5
Union Types
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Union Types.
- Apply Union Types in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 45.6
Generics
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Generics.
- Apply Generics in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 45.7
Utility Types
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Utility Types.
- Apply Utility Types in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 45.8
API Model Typing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of API Model Typing.
- Apply API Model Typing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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React Architecture, JSX, Components, Props, State, Events, Conditional Rendering, Lists & Keys.
Topic 46.1
React Architecture
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of React Architecture.
- Apply React Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 46.2
JSX
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JSX.
- Apply JSX in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 46.3
Components
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Components.
- Apply Components in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 46.4
Props
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Props.
- Apply Props in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 46.5
State
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of State.
- Apply State in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 46.6
Events
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Events.
- Apply Events in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 46.7
Conditional Rendering
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Conditional Rendering.
- Apply Conditional Rendering in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 46.8
Lists & Keys
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Lists & Keys.
- Apply Lists & Keys in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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useState, useEffect, useRef, useMemo, useCallback, Context, Custom Hooks.
Topic 47.1
useState
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of useState.
- Apply useState in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 47.2
useEffect
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of useEffect.
- Apply useEffect in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 47.3
useRef
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of useRef.
- Apply useRef in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 47.4
useMemo
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of useMemo.
- Apply useMemo in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 47.5
useCallback
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of useCallback.
- Apply useCallback in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 47.6
Context
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Context.
- Apply Context in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 47.7
Custom Hooks
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Custom Hooks.
- Apply Custom Hooks in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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React Router, Routes, Dynamic Routes, Nested Routes, Protected Routes.
Topic 48.1
React Router
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of React Router.
- Apply React Router in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 48.2
Routes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Routes.
- Apply Routes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 48.3
Dynamic Routes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Dynamic Routes.
- Apply Dynamic Routes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 48.4
Nested Routes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Nested Routes.
- Apply Nested Routes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 48.5
Protected Routes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Protected Routes.
- Apply Protected Routes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Controlled Inputs, Form Validation, Schema Validation Concepts, File Upload, Error UX.
Topic 49.1
Controlled Inputs
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Controlled Inputs.
- Apply Controlled Inputs in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 49.2
Form Validation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Form Validation.
- Apply Form Validation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 49.3
Schema Validation Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Schema Validation Concepts.
- Apply Schema Validation Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 49.4
File Upload
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of File Upload.
- Apply File Upload in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 49.5
Error UX
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Error UX.
- Apply Error UX in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Local State, Global State, Context, Redux Toolkit Concepts, Zustand Concepts, Server State, Query/Caching Libraries Concepts.
Topic 50.1
Local State
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Local State.
- Apply Local State in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 50.2
Global State
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Global State.
- Apply Global State in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 50.3
Context
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Context.
- Apply Context in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 50.4
Redux Toolkit Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Redux Toolkit Concepts.
- Apply Redux Toolkit Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 50.5
Zustand Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Zustand Concepts.
- Apply Zustand Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 50.6
Server State
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Server State.
- Apply Server State in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 50.7
Query/Caching Libraries Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Query/Caching Libraries Concepts.
- Apply Query/Caching Libraries Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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REST Integration, Authentication, Access Tokens, Refresh Flow, Global Error Handling, Loading States, Pagination, Search, Sorting, Filtering.
Topic 51.1
REST Integration
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of REST Integration.
- Apply REST Integration in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.2
Authentication
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authentication.
- Apply Authentication in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.3
Access Tokens
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Access Tokens.
- Apply Access Tokens in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.4
Refresh Flow
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Refresh Flow.
- Apply Refresh Flow in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.5
Global Error Handling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Global Error Handling.
- Apply Global Error Handling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.6
Loading States
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Loading States.
- Apply Loading States in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.7
Pagination
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Pagination.
- Apply Pagination in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.8
Search
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Search.
- Apply Search in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.9
Sorting
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Sorting.
- Apply Sorting in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 51.10
Filtering
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Filtering.
- Apply Filtering in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Rendering, Memoization, Lazy Loading, Code Splitting, Bundle Awareness, React Compiler Awareness.
Topic 52.1
Rendering
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rendering.
- Apply Rendering in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 52.2
Memoization
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Memoization.
- Apply Memoization in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 52.3
Lazy Loading
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Lazy Loading.
- Apply Lazy Loading in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 52.4
Code Splitting
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Code Splitting.
- Apply Code Splitting in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 52.5
Bundle Awareness
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Bundle Awareness.
- Apply Bundle Awareness in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 52.6
React Compiler Awareness
Teach current ecosystem concepts without making compiler-specific optimizations the only approach.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of React Compiler Awareness.
- Apply React Compiler Awareness in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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React + Spring Boot, CORS, Authentication Flow, Authorization, DTO Contracts, Validation, Error Handling, Pagination, File Upload.
Topic 53.1
React + Spring Boot
React; then; HTTPS; then; Spring Boot; then; PostgreSQL.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of React + Spring Boot.
- Apply React + Spring Boot in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 53.2
CORS
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CORS.
- Apply CORS in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 53.3
Authentication Flow
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authentication Flow.
- Apply Authentication Flow in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 53.4
Authorization
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Authorization.
- Apply Authorization in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 53.5
DTO Contracts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of DTO Contracts.
- Apply DTO Contracts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 53.6
Validation
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Validation.
- Apply Validation in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 53.7
Error Handling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Error Handling.
- Apply Error Handling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 53.8
Pagination
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Pagination.
- Apply Pagination in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 53.9
File Upload
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of File Upload.
- Apply File Upload in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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WebSockets Concepts, Server-Sent Events, Real-Time Notifications.
Topic 54.1
WebSockets Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
60 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of WebSockets Concepts.
- Apply WebSockets Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 54.2
Server-Sent Events
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
60 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Server-Sent Events.
- Apply Server-Sent Events in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 54.3
Real-Time Notifications
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
60 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Real-Time Notifications.
- Apply Real-Time Notifications in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Testing Pyramid, JUnit, Assertions, Parameterized Tests, Mockito, Mocking, Service Tests, Controller Tests, MockMvc, Repository Tests, Integration Testing, Testcontainers Concepts.
Topic 55.1
Testing Pyramid
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Testing Pyramid.
- Apply Testing Pyramid in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.2
JUnit
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of JUnit.
- Apply JUnit in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.3
Assertions
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Assertions.
- Apply Assertions in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.4
Parameterized Tests
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Parameterized Tests.
- Apply Parameterized Tests in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.5
Mockito
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Mockito.
- Apply Mockito in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.6
Mocking
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Mocking.
- Apply Mocking in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.7
Service Tests
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Service Tests.
- Apply Service Tests in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.8
Controller Tests
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Controller Tests.
- Apply Controller Tests in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.9
MockMvc
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of MockMvc.
- Apply MockMvc in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.10
Repository Tests
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Repository Tests.
- Apply Repository Tests in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.11
Integration Testing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Integration Testing.
- Apply Integration Testing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 55.12
Testcontainers Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Testcontainers Concepts.
- Apply Testcontainers Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Unit Testing Concepts, React Testing Library Concepts, Component Testing, Mock API Testing, End-to-End Testing Awareness.
Topic 56.1
Unit Testing Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Unit Testing Concepts.
- Apply Unit Testing Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 56.2
React Testing Library Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of React Testing Library Concepts.
- Apply React Testing Library Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 56.3
Component Testing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Component Testing.
- Apply Component Testing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 56.4
Mock API Testing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Mock API Testing.
- Apply Mock API Testing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 56.5
End-to-End Testing Awareness
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of End-to-End Testing Awareness.
- Apply End-to-End Testing Awareness in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Postman, Request Collections, Environments, Automated API Checks, Contract Testing Concepts.
Topic 57.1
Postman
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Postman.
- Apply Postman in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 57.2
Request Collections
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Request Collections.
- Apply Request Collections in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 57.3
Environments
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Environments.
- Apply Environments in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 57.4
Automated API Checks
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Automated API Checks.
- Apply Automated API Checks in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 57.5
Contract Testing Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Contract Testing Concepts.
- Apply Contract Testing Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Logging Fundamentals, Log Levels, Structured Logging, Correlation IDs, Sensitive Data.
Topic 58.1
Logging Fundamentals
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Logging Fundamentals.
- Apply Logging Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 58.2
Log Levels
TRACE; DEBUG; INFO; WARN; ERROR.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Log Levels.
- Apply Log Levels in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 58.3
Structured Logging
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Structured Logging.
- Apply Structured Logging in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 58.4
Correlation IDs
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Correlation IDs.
- Apply Correlation IDs in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 58.5
Sensitive Data
Never log; Password; tokens; secrets; unnecessary PII.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Sensitive Data.
- Apply Sensitive Data in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Metrics, Spring Boot Actuator, Health, Prometheus Concepts, Grafana Concepts, OpenTelemetry, Distributed Tracing, Alerting Concepts.
Topic 59.1
Metrics
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Metrics.
- Apply Metrics in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 59.2
Spring Boot Actuator
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Spring Boot Actuator.
- Apply Spring Boot Actuator in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 59.3
Health
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Health.
- Apply Health in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 59.4
Prometheus Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Prometheus Concepts.
- Apply Prometheus Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 59.5
Grafana Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Grafana Concepts.
- Apply Grafana Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 59.6
OpenTelemetry
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of OpenTelemetry.
- Apply OpenTelemetry in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 59.7
Distributed Tracing
Trace; React; then; Gateway; then; Order Service; then; Payment Service; then; Kafka.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Distributed Tracing.
- Apply Distributed Tracing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 59.8
Alerting Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Alerting Concepts.
- Apply Alerting Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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API Latency, SQL Performance, Connection Pooling, N+1 Queries, Caching, Thread Management, Profiling, Load Testing Concepts.
Topic 60.1
API Latency
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of API Latency.
- Apply API Latency in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 60.2
SQL Performance
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of SQL Performance.
- Apply SQL Performance in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 60.3
Connection Pooling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Connection Pooling.
- Apply Connection Pooling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 60.4
N+1 Queries
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of N+1 Queries.
- Apply N+1 Queries in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 60.5
Caching
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Caching.
- Apply Caching in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 60.6
Thread Management
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Thread Management.
- Apply Thread Management in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 60.7
Profiling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Profiling.
- Apply Profiling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 60.8
Load Testing Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
30 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Load Testing Concepts.
- Apply Load Testing Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Containers, Images, Dockerfile, Multi-Stage Builds, Ports, Environment Variables, Volumes, Networks, Docker Compose.
Topic 61.1
Containers
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Containers.
- Apply Containers in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 61.2
Images
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Images.
- Apply Images in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 61.3
Dockerfile
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Dockerfile.
- Apply Dockerfile in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 61.4
Multi-Stage Builds
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Multi-Stage Builds.
- Apply Multi-Stage Builds in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 61.5
Ports
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Ports.
- Apply Ports in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 61.6
Environment Variables
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Environment Variables.
- Apply Environment Variables in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 61.7
Volumes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Volumes.
- Apply Volumes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 61.8
Networks
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Networks.
- Apply Networks in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 61.9
Docker Compose
Local stack; React; Spring Boot; PostgreSQL; Kafka; Redis.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Docker Compose.
- Apply Docker Compose in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Kubernetes Architecture, Pods, Deployments, Services, ConfigMaps, Secrets, Health Probes, Scaling, Ingress Concepts, Rolling Deployment, Resource Requests / Limits.
Topic 62.1
Kubernetes Architecture
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Kubernetes Architecture.
- Apply Kubernetes Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.2
Pods
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Pods.
- Apply Pods in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.3
Deployments
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Deployments.
- Apply Deployments in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.4
Services
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Services.
- Apply Services in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.5
ConfigMaps
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of ConfigMaps.
- Apply ConfigMaps in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.6
Secrets
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Secrets.
- Apply Secrets in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.7
Health Probes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Health Probes.
- Apply Health Probes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.8
Scaling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Scaling.
- Apply Scaling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.9
Ingress Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Ingress Concepts.
- Apply Ingress Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.10
Rolling Deployment
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rolling Deployment.
- Apply Rolling Deployment in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 62.11
Resource Requests / Limits
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
22 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Resource Requests / Limits.
- Apply Resource Requests / Limits in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Cloud Fundamentals, AWS IAM, EC2, S3, RDS, Networking Concepts, Load Balancing, Auto Scaling Concepts, CloudWatch, Secrets Management Concepts, Container Deployment Concepts, Managed Kubernetes Awareness.
Topic 63.1
Cloud Fundamentals
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Cloud Fundamentals.
- Apply Cloud Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.2
AWS IAM
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of AWS IAM.
- Apply AWS IAM in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.3
EC2
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of EC2.
- Apply EC2 in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.4
S3
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of S3.
- Apply S3 in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.5
RDS
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of RDS.
- Apply RDS in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.6
Networking Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Networking Concepts.
- Apply Networking Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.7
Load Balancing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Load Balancing.
- Apply Load Balancing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.8
Auto Scaling Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Auto Scaling Concepts.
- Apply Auto Scaling Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.9
CloudWatch
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CloudWatch.
- Apply CloudWatch in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.10
Secrets Management Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Secrets Management Concepts.
- Apply Secrets Management Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.11
Container Deployment Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Container Deployment Concepts.
- Apply Container Deployment Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 63.12
Managed Kubernetes Awareness
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
20 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Managed Kubernetes Awareness.
- Apply Managed Kubernetes Awareness in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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CI/CD Fundamentals, Build Pipeline, Jenkins Concepts, GitHub Actions Concepts, Artifact Management, Environment Promotion, Rollback.
Topic 64.1
CI/CD Fundamentals
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CI/CD Fundamentals.
- Apply CI/CD Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 64.2
Build Pipeline
Commit; then; Compile; then; Unit Tests; then; Security Scan; then; Build; then; Container; then; Deploy.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Build Pipeline.
- Apply Build Pipeline in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 64.3
Jenkins Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Jenkins Concepts.
- Apply Jenkins Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 64.4
GitHub Actions Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of GitHub Actions Concepts.
- Apply GitHub Actions Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 64.5
Artifact Management
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Artifact Management.
- Apply Artifact Management in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 64.6
Environment Promotion
DEV; then; TEST; then; STAGING; then; PRODUCTION.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Environment Promotion.
- Apply Environment Promotion in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 64.7
Rollback
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rollback.
- Apply Rollback in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Layered Architecture, Hexagonal Architecture Concepts, Clean Architecture Concepts, Domain-Driven Design Fundamentals, Bounded Context, Aggregates Concepts, Repository Pattern.
Topic 65.1
Layered Architecture
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Layered Architecture.
- Apply Layered Architecture in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 65.2
Hexagonal Architecture Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Hexagonal Architecture Concepts.
- Apply Hexagonal Architecture Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 65.3
Clean Architecture Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Clean Architecture Concepts.
- Apply Clean Architecture Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 65.4
Domain-Driven Design Fundamentals
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Domain-Driven Design Fundamentals.
- Apply Domain-Driven Design Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 65.5
Bounded Context
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Bounded Context.
- Apply Bounded Context in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 65.6
Aggregates Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Aggregates Concepts.
- Apply Aggregates Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 65.7
Repository Pattern
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Repository Pattern.
- Apply Repository Pattern in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Singleton, Factory, Builder, Strategy, Observer, Adapter, Facade, Decorator, Template Method, Dependency Injection Pattern.
Topic 66.1
Singleton
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Singleton.
- Apply Singleton in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.2
Factory
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Factory.
- Apply Factory in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.3
Builder
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Builder.
- Apply Builder in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.4
Strategy
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Strategy.
- Apply Strategy in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.5
Observer
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Observer.
- Apply Observer in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.6
Adapter
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Adapter.
- Apply Adapter in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.7
Facade
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Facade.
- Apply Facade in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.8
Decorator
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Decorator.
- Apply Decorator in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.9
Template Method
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Template Method.
- Apply Template Method in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 66.10
Dependency Injection Pattern
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
24 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Dependency Injection Pattern.
- Apply Dependency Injection Pattern in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Requirements, Classes, Relationships, Interfaces, SOLID.
Topic 67.1
Requirements
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Requirements.
- Apply Requirements in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 67.2
Classes
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Classes.
- Apply Classes in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 67.3
Relationships
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Relationships.
- Apply Relationships in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 67.4
Interfaces
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Interfaces.
- Apply Interfaces in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 67.5
SOLID
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
36 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of SOLID.
- Apply SOLID in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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System Design Fundamentals, Functional Requirements, Non-Functional Requirements, Scalability, Availability, Consistency, Latency, Load Balancing, Caching, Database Scaling, Replication, Partitioning Concepts, Message Queues, Rate Limiting, CDN Concepts, CAP Theorem Concepts.
Topic 68.1
System Design Fundamentals
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of System Design Fundamentals.
- Apply System Design Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.2
Functional Requirements
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Functional Requirements.
- Apply Functional Requirements in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.3
Non-Functional Requirements
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Non-Functional Requirements.
- Apply Non-Functional Requirements in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.4
Scalability
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Scalability.
- Apply Scalability in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.5
Availability
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Availability.
- Apply Availability in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.6
Consistency
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Consistency.
- Apply Consistency in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.7
Latency
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Latency.
- Apply Latency in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.8
Load Balancing
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Load Balancing.
- Apply Load Balancing in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.9
Caching
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Caching.
- Apply Caching in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.10
Database Scaling
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Database Scaling.
- Apply Database Scaling in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.11
Replication
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Replication.
- Apply Replication in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.12
Partitioning Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Partitioning Concepts.
- Apply Partitioning Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.13
Message Queues
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Message Queues.
- Apply Message Queues in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.14
Rate Limiting
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Rate Limiting.
- Apply Rate Limiting in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.15
CDN Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CDN Concepts.
- Apply CDN Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 68.16
CAP Theorem Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
19 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of CAP Theorem Concepts.
- Apply CAP Theorem Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Enterprise System Design Cases.
Topic 69.1
Enterprise System Design Cases
Design and compare architectures for a URL shortener, e-commerce platform, ticket booking system, notification system, payment processing, file storage, chat, order management and an employee-management SaaS.
Core Architecture
120 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Enterprise System Design Cases.
- Apply Enterprise System Design Cases in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Application Won't Start, API Slow, High CPU, High Memory, DB Connection Exhaustion, Kafka Consumer Lag, Microservice Timeout, Container Crash, Production Logs.
Topic 70.1
Application Won't Start
Configuration; port; dependency; DB; environment.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Application Won't Start.
- Apply Application Won't Start in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 70.2
API Slow
DB; network; downstream calls; thread pool; JVM; cache.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of API Slow.
- Apply API Slow in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 70.3
High CPU
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of High CPU.
- Apply High CPU in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 70.4
High Memory
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of High Memory.
- Apply High Memory in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 70.5
DB Connection Exhaustion
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of DB Connection Exhaustion.
- Apply DB Connection Exhaustion in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 70.6
Kafka Consumer Lag
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Kafka Consumer Lag.
- Apply Kafka Consumer Lag in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 70.7
Microservice Timeout
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Microservice Timeout.
- Apply Microservice Timeout in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 70.8
Container Crash
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Container Crash.
- Apply Container Crash in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 70.9
Production Logs
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
27 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Production Logs.
- Apply Production Logs in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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GenAI Fundamentals, LLM API Integration from Java, Prompt Templates, Structured Output, Embeddings Concepts, RAG Concepts, Spring AI Awareness.
Topic 71.1
GenAI Fundamentals
Modern developers should understand how AI services integrate into enterprise applications.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of GenAI Fundamentals.
- Apply GenAI Fundamentals in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 71.2
LLM API Integration from Java
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of LLM API Integration from Java.
- Apply LLM API Integration from Java in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 71.3
Prompt Templates
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Prompt Templates.
- Apply Prompt Templates in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 71.4
Structured Output
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Structured Output.
- Apply Structured Output in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 71.5
Embeddings Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Embeddings Concepts.
- Apply Embeddings Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 71.6
RAG Concepts
Core concepts, implementation patterns, engineering trade-offs and production considerations.
High-Frequency Interview Topic
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of RAG Concepts.
- Apply RAG Concepts in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Topic 71.7
Spring AI Awareness
Teach how Java/Spring applications can integrate modern AI capabilities.
Core Architecture
26 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Spring AI Awareness.
- Apply Spring AI Awareness in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Enterprise E-Commerce & Order Management Platform.
Topic 72.1
Enterprise E-Commerce & Order Management Platform
Build a production-oriented React and TypeScript frontend with registration, login, profiles, products, search, filters, cart, checkout, orders and Admin; Spring Boot identity, product, inventory, order, payment-simulation and notification services; JWT/refresh roles; PostgreSQL database-per-service where suitable; Redis cache; Kafka order events; validation, authorization, secrets, rate-limit and audit controls; unit, integration, API and frontend tests; logs, metrics, health, correlation and tracing; Docker, Kubernetes, AWS and CI/CD; and README, HLD, LLD, APIs, database, architecture and deployment documentation.
Core Architecture
120 Mins
What You Master in this Topic:
- Explain the core concepts and architecture of Enterprise E-Commerce & Order Management Platform.
- Apply Enterprise E-Commerce & Order Management Platform in a full stack or Generative AI product.
- Evaluate implementation trade-offs, security and production considerations.
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Enterprise Portfolio
26 Hands-On Production Capstones & Microservices
Build, deploy, and showcase real-world enterprise architectures on GitHub to prove your production engineering readiness:
Major Production Capstone
35 Hours Lab Work
Enterprise E-Commerce Microservices & Event-Driven Streaming Platform
Architected with Spring Boot 3.3, Apache Kafka event streams, Redis distributed caching, React 19 UI, and PostgreSQL. Features distributed ACID transaction sagas, payment webhook handling, dynamic inventory locking, and Dockerized Kubernetes deployment.
Architectural Highlights:
• Service Mesh: Catalog, Orders, Payments, Notifications & Auth
• Event Pipeline: Apache Kafka async event streaming with dead-letter queues
• Security & Caching: OAuth2 + JWT RBAC security & Redis multi-tier caching
• Cloud DevOps: Docker multi-stage containerization + AWS ECR/EKS CI/CD
Spring Boot 3
Apache Kafka
Redis Cache
Docker & K8s
React 19
Verified GitHub Portfolio Project
Production System
18 Hours
High-Throughput Banking & Core Transaction Engine
Concurrent multithreaded financial transaction ledger with ACID compliance, optimistic row locking, idempotent payment endpoints, and audit logging.
Java 21
Spring Data JPA
PostgreSQL
JUnit 5
GitHub Capstone
Verified Review
Production System
16 Hours
Real-Time Logistics & Fleet Tracking Service
Bi-directional live vehicle telemetry dashboard processing 10,000+ geo-coordinate events/sec with live map rendering and ETA calculations.
Spring WebSockets
Apache Kafka
React 19
PostGIS
GitHub Capstone
Verified Review
Production System
20 Hours
Multi-Tenant SaaS Subscription & Webhook Gateway
Multi-tenant automated billing engine with webhook signature verification, dynamic token bucket rate-limiting, and tenant data isolation schemas.
Spring Boot
Stripe API
Bucket4j
Redis
GitHub Capstone
Verified Review
Production System
14 Hours
Distributed URL Shortener & Analytics System (Bitly Scale)
Low-latency URL redirection engine with distributed ID generation (Snowflake), sub-5ms Redis caching, and real-time click analytics.
Base62 Hashing
Redis Cluster
Spring Boot 3
Docker
GitHub Capstone
Verified Review
Production System
15 Hours
Automated Cloud DevOps CI/CD Pipeline on AWS
Production containerization pipeline with automated testing, sonar code quality gates, container image vulnerability scanning, and zero-downtime rolling deploys.
GitHub Actions
Docker
AWS ECS/EKS
Prometheus
GitHub Capstone
Verified Review
Production System
16 Hours
AI-Powered Code Reviewer & Assessment Engine
Automated coding interview evaluator that parses Java AST trees, detects algorithmic time complexity, and simulates 1-on-1 voice technical interview feedback.
Gemini API
Spring AI
React 19
AST Parser
GitHub Capstone
Verified Review
Comparison Matrix
MockAttempt Academy vs. Traditional Bootcamps & Self-Study
Transparent side-by-side comparison of daily schedule, duration, curriculum, and placement support:
| Feature & Deliverables | MockAttempt Fast-Track Track | Expensive Bootcamps | Self-Study / YouTube |
|---|---|---|---|
| Live Weekend Schedule | Sat & Sun (4 Hours / Day) | 1 - 1.5 Hours / Day | Self-Paced / Inconsistent |
| Duration to Placement Readiness | 4 Months (16 Weeks Weekend) | 6 - 9 Months | 12+ Months (Uncertain) |
| Candidate Placement Guarantee | Unlimited Drives until Placed (or Full Refund) | Limited to 3-6 Months only | None (Apply blindly) |
| Topic Mock Tests & AI Interviews | Integrated for Every Topic (580+ Rounds) | End of Course Only | None |
| Tuition Fee | ₹49,999 ₹98,999 | ₹1,20,000 - ₹2,50,000 | Free (No Mentorship/Jobs) |
Institutional Course Assurances & 100% Placement Policy
100% Job Placement Guarantee
Our placement team arranges unlimited corporate interview drives across 1,050+ hiring partners until you receive an official offer letter. If unplaced, 100% of your tuition fee is refunded.
1-on-1 Expert Faculty Mentorship
Every cohort is taught live by seasoned lead architects from Tier-1 product companies with daily live coding and supervised code reviews.
FAQs
Frequently Asked Questions
Yes. Programming and Java fundamentals are included from the beginning.
The curriculum focuses on modern Java 17/21/25-era features while explaining common Java 8/11 differences found in enterprise systems.
Yes. Spring Boot, MVC, REST, persistence, security, testing and production operations receive extensive coverage.
Yes. The curriculum targets the Spring Boot 4.x generation with Spring Boot 3.x and Jakarta migration awareness.
Yes. Boundaries, communication, gateway, resilience, transactions, events and observability are covered.
Yes. Kafka architecture, producers, consumers, groups, offsets, ordering, delivery semantics, retries and dead-letter topics are included.
Yes. Caching, cache-aside, TTL, invalidation, sessions and rate-limiting concepts are included.
Yes. Modern functional React, hooks, routing, forms, state, API integration, testing and performance are included.
Yes. Types, interfaces, unions, generics, utility types and typed API models are covered.
Yes. Authentication, authorization, filter chains, method security and application-security controls are included.
Yes. JWT access/refresh flows plus OAuth2, OIDC, PKCE and enterprise identity concepts are covered.
Yes. Relationships, transactions, JPQL, fetch behavior, N+1 avoidance and performance are included.
Yes. Students create images, multi-stage builds, networks, volumes and Compose environments.
Yes. Architecture, deployments, services, configuration, secrets, probes, scaling, ingress and rolling deployment are included.
Yes. IAM, EC2, S3, RDS, networking, load balancing, scaling, CloudWatch, secrets and container concepts are included.
Yes. Build, test, artifacts, promotion and rollback through Jenkins and GitHub Actions concepts are covered.
Yes. Architecture, patterns, LLD, system-design fundamentals and multiple enterprise cases are included.
Yes, through a dedicated job-preparation blueprint targeting 150+ problems.
A Java/GenAI integration module covers LLM APIs, structured output, embeddings, RAG and Spring AI awareness while keeping Java engineering central.
Yes. The catalog includes 19 focused projects, six major projects and one production capstone.
Ready to Become a Top 1% Java Full Stack Developer in 3 Months?
Speak with our senior academic counsellors to evaluate your fast-track 4-hour daily cohort eligibility, explore scholarship options, and secure your batch seat.