From there you'll build retrieval end to end, from embeddings and chunking in ChromaDB to Pinecone at scale with hybrid search and reranking; then autonomous agents in LangGraph — stateful, resumable, with human-in-the-loop gates — and multi-agent teams with shared state. You'll close with production: FastAPI, Redis, full tracing, latency and cost controls, CI/CD with evaluation gates, and a capstone that ships a complete AI system with its reliability plan and operational handoff.