Python Full Stack Developer
Build modern web, SaaS and AI-enabled applications with Python, FastAPI, Django, PostgreSQL, React, TypeScript, Redis, authentication, Docker, AWS, CI/CD, testing and microservices.
Accelerate your software engineering career with 4 hours daily intensive live cohort training (2h live faculty lectures + 2h supervised coding labs), production capstone projects, and 580+ topic mock tests & AI voice technical interviews to secure your dream placement in just 3 months!
Build modern web, SaaS and AI-enabled applications with Python, FastAPI, Django, PostgreSQL, React, TypeScript, Redis, authentication, Docker, AWS, CI/CD, testing and microservices.
Build secure, asynchronous, scalable and production-ready backend systems with modern Python, FastAPI, Django REST, Pydantic, SQLAlchemy, PostgreSQL, Redis, microservices, Docker, Kubernetes and AWS.
Become a job-ready Generative AI Engineer by learning Python, LLMs, prompt engineering, embeddings, vector databases, RAG, AI agents, LangChain, LangGraph, MCP, multimodal AI, FastAPI, evaluation, security, LLMOps and cloud deployment. Build production-oriented AI applications and a professional project portfolio while preparing for technical interviews.
Become a production-ready GenAI Full Stack Developer with React, Next.js, TypeScript, Python, FastAPI, PostgreSQL, Redis, LLM APIs, RAG, LangChain, LangGraph, AI agents, MCP, Docker and AWS. Build, secure, test, deploy and scale complete AI products through hands-on labs, portfolio projects and interview preparation.
Become a job-ready Agentic AI Engineer by building intelligent agents capable of reasoning, tool use, retrieval, workflow orchestration, memory, human approvals, multi-agent collaboration and enterprise integration. Master Python, FastAPI, LLM APIs, LangChain, LangGraph, MCP, A2A, RAG, evaluation, security, observability, Docker and AWS.
Build accurate, measurable, secure and production-ready enterprise LLM applications with document pipelines, embeddings, vector databases, semantic and hybrid search, metadata filtering, reranking, Advanced RAG, Agentic RAG, evaluation, FastAPI, Docker and AWS.
Become a production-ready AI Engineer through Python, SQL, statistics, NumPy, Pandas, machine learning, Scikit-learn, deep learning, PyTorch, NLP, computer vision, transformers, LLMs, RAG, agents, FastAPI, Docker, MLOps and AWS. Learn to design, build, evaluate, deploy and operate complete AI systems.
Become a production-ready Machine Learning Engineer by taking business problems from raw data through statistics, feature engineering, experimentation, training, evaluation, model registration, FastAPI serving, Docker, MLOps, monitoring, drift detection, retraining, AWS and ML system design.
Become a job-ready Data Scientist by translating business problems into measurable questions, analyzing data with Python and SQL, applying statistics and experimentation, building predictive models, communicating evidence and using Generative AI responsibly.
Design, deploy, secure, automate and operate production AWS infrastructure with Linux, networking, IAM, VPC, EC2, containers, Kubernetes, Terraform, CI/CD, observability, disaster recovery, FinOps and CloudOps.
Build, automate, deploy, secure and operate production cloud platforms with Linux, networking, AWS, Git, CI/CD, Docker, Kubernetes, EKS, Terraform, Ansible, GitOps, observability, DevSecOps, SRE and FinOps.
Automate application delivery and AWS infrastructure, build reusable CI/CD pipelines, containerize workloads, operate Kubernetes, provision with Terraform, implement GitOps and observability, secure the software supply chain and troubleshoot production incidents.
Master large-scale data engineering from SQL and Python to distributed computing with Apache Spark, real-time streaming with Kafka, cloud lakehouses on Delta Lake & Snowflake, and orchestration with Airflow.
Become a job-ready Data Analyst by extracting, cleaning and modeling data with Advanced Excel, analytical SQL, Power Query, Power BI and DAX, then applying Python, statistics, business analytics, storytelling and responsible AI assistance.
Detect, investigate and respond to real-world cyber threats with networking, Windows, Linux, Active Directory, Microsoft Sentinel, Splunk, KQL, SPL, EDR/XDR, Defender, MITRE ATT&CK, threat hunting, incident response, cloud security and automation.
Learn to identify, validate and report security weaknesses in authorized environments using Linux, networking, Kali Linux, Nmap, Burp Suite, OWASP, API security, Active Directory, cloud-security assessment and professional reporting.
Master modern native Android development from Kotlin fundamentals and Coroutines to Jetpack Compose, MVVM Clean Architecture, Hilt dependency injection, Room offline database, and Google Play Store deployment.