Python for Generative AI Complete Guide

A complete learning path from Python basics to building production AI apps - everything in one place.

📚 What's inside - 6 phases and 22 module, 340+ Pages:

• Phase 1 - Python Core for AI (NumPy, Pandas, OOP, File I/O)
• Phase 2 - LLM APIs & Prompting (Anthropic, OpenAI, embeddings)
• Phase 3 - GenAI Libraries (LangChain, LlamaIndex, ChromaDB, Hugging Face, LangGraph, CrewAI)
• Phase 4 - RAG & Memory Systems (chunking, hybrid search, HyDE, memory architectures)
• Phase 5 - Deployment & Production (Streamlit, FastAPI, evaluation, observability)
• Phase 6 - 3 End-to-End Portfolio Projects(RAG Research Assistant, Autonomous Agent, Multi-Agent Content Studio)

What makes this different:

• 340+ pages of practical, structured content.
• Every code example is verified against the latest library versions.
• Three portfolio projects.