How engineers learn AI engineering
A self-paced path from foundations to mini-LLMs, owned SLMs, agents, and industry labs — 16 modules, 95+ lessons. All content is free.
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Learn at your own pace — it's free
Browse concepts in tracks. Build projects on the guided path. Foundations → build → agents → production — with a full outline so nothing is hidden.
What you'll ship
Every module ends in a portfolio artifact — not a watched-hours certificate.
Your own mini-LLM
Tokenize, attend, train, and sample — then write honest limits vs frontier systems.
Domain RAG + evals
Chunking, hybrid search, and eval sets before you call it a demo.
Agents that use tools
ReAct loops, skills, MCP, workflows — with failure isolation and cost traces.
Industry case labs
Patterns from how real companies ship AI, then a capstone you can defend.
Real-world examples
Blog-length production patterns — gateways, RAG, agents, cost, and evals — framed from public industry knowledge. Read alongside the curriculum when you need “how teams actually ship.”
Free forever
Every lesson, project checklist, and industry lab is open. Create an account when you want progress saved across devices.