Phase 1: Foundations (Python, Math for ML, and core data libraries)
Phase 2: Core ML (Evaluation metrics, scikit-learn algorithms, and workflow validation)
Phase 3: Deep Learning & GenAI (Neural networks, API integration, RAG, and vector databases)
Phase 4: Production & MLOps (FastAPI, Docker, model tracking, and portfolio building)