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Official Course Diagnostic 100% Free Artificial Intelligence & Machine Learning

AI Engineer: Free Skill Evaluation

Benchmark your technical knowledge against real industry expectations. Complete this timed assessment to receive an instant topic-wise strength and weakness report, readiness classification, and curated curriculum guidance.

25 Questions
30 Mins Time Limit
100 Total Points
Instant Scorecard & Gaps

What You Will Receive After Submission

Topic Performance Breakdown

Detailed accuracy metrics across every core topic covered in the syllabus.

Strength & Weakness Mapping

Identify precise concept gaps with direct curriculum reference links.

Assessment Readiness Score

Clear readiness tier from Foundation Required to Industry Ready.

1-on-1 Counselling Option

Attach your assessment scorecard to speak directly with an academic advisor.

Syllabus Areas Evaluated

Introduction to Artificial Intelligence AI Industry Applications AI System Architecture Python Fundamentals Control Flow Functions Object-Oriented Python Advanced Python Python for Production Mathematics Foundation Linear Algebra Calculus for ML Probability Statistics NumPy Fundamentals NumPy for ML Pandas Fundamentals Data Cleaning Data Transformation Feature Preparation Matplotlib Analytical Visualization SQL Fundamentals SQL Joins Advanced SQL PostgreSQL Introduction to Machine Learning ML Workflow Train/Test Split Linear Regression Logistic Regression Decision Trees Random Forest K-Nearest Neighbors Support Vector Machines Gradient Boosting Clustering Hierarchical Clustering DBSCAN Dimensionality Reduction Classification Metrics Regression Metrics Business Metrics Feature Engineering Feature Selection ML Pipelines Model Tuning Preventing Overfitting Neural Network Fundamentals Activation Functions Forward Propagation Backpropagation Optimization Loss Functions PyTorch Fundamentals Building Neural Networks GPU Concepts Image Fundamentals OpenCV Convolutional Neural Networks Image Classification Transfer Learning Object Detection Concepts NLP Fundamentals Traditional NLP Word Embeddings NLP Classification Sequence Models Transformer Architecture Encoder & Decoder Models Hugging Face Ecosystem Transformer Fine-Tuning Generative AI Fundamentals LLM APIs Prompt Engineering Context Engineering Embeddings Vector Search Hybrid Search Retrieval-Augmented Generation Document Processing Chunking Retrieval Engineering RAG Evaluation AI Agents Tool Calling Agent Workflows LangChain Concepts LangGraph Concepts REST API Development Pydantic Async AI APIs Model Serving From Notebook to Production Model Serialization Batch vs Online Inference MLOps Fundamentals Experiment Tracking MLflow Concepts Model Registry Data Versioning Concepts Model Versioning Continuous Integration Continuous Deployment Model Quality Gates Production AI Monitoring Data Drift Concept Drift Model Performance Degradation GenAI Monitoring Logging Metrics AI Tracing Bias & Fairness Explainability Privacy Human Oversight AI Security Foundations Adversarial ML Concepts GenAI Security Secure Model APIs Docker Fundamentals Containerizing ML Models Containerizing GenAI Applications AWS Fundamentals AI Model Storage Cloud Model Deployment Scalable AI Architecture AI System Design Fundamentals Design Recommendation System Design Fraud Detection System Design AI Document Assistant Design Image Classification Platform Infrastructure Costs Model Cost Optimization GenAI Token Cost Enterprise Intelligent AI Platform

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