Three tracks, each building on the last
Start with "what is a token?" and end with a working, evaluated agentic RAG system.
Foundations
Zero prior knowledge assumed. Tokens, LLMs, prompting, embeddings, vector databases, RAG, and your first agent.
Live nowIntermediate
Chunking, retrieval quality, tool use, memory, and your first real agent, ending in a multi-tool capstone.
Live nowAdvanced
Multi-agent patterns, guardrails, observability, and shipping a traced, evaluated agentic RAG system.
Learning toward a specific job?
Five AI-era roles, mapped chapter by chapter
Same curriculum, organized around the job instead of the syllabus — what each role actually does, what to learn first, and how to prep for the interview.
One Coherent Arc, Start to Finish
Start with "what is a token?" and end with a working, evaluated agentic RAG system — three tracks, each building on the last.
Free and Local-First
Every lab across all three tracks runs with a free local Ollama model and a local ChromaDB — no credit card, no cloud account, no server required.
Hands-On at Every Step
Every lesson links to runnable Python code you execute on your own machine — not just video, not just theory.