Get The AI Curriculum Starmap

The companion map to the video. Twelve free GitHub course repos carry 802,495 stars between them — the whole AI-engineering curriculum, free. The catch: take them in the wrong order and you stall by week two. INSIDE: (1) THE 6-LEVEL ORDER — Foundations (microsoft/generative-ai-for-beginners, 118,196 stars, 21 lessons, start at lesson 04 not lesson 01) → Prompting (dair-ai Prompt-Engineering-Guide, one afternoon) → Internals (rasbt/LLMs-from-scratch, 66 notebooks, build a GPT in PyTorch, then READ karpathy/nanochat) → Agents (huggingface/agents-course units 0-4 + certified project, then NirDiamant/GenAI_Agents, 54 tutorials) → Ship (Shubhamsaboo/awesome-llm-apps, 133,350 stars, 16 starter agents — we cloned one and had it answering data questions in minutes, plus openai-cookbook 270 notebooks and anthropics/claude-cookbooks 98 notebooks as recipe boxes) → Go Deep, optional (labml annotated papers, mml-book full textbook PDF). (2) ALL 12 REPOS AUDITED — stars, what is actually inside each (lesson and notebook counts), and honest freshness flags including which three are quiet and why mml-book being finished is not the same as stale. (3) THE SKIP FLAGS — the three repos most people should defer and exactly when to come back. (4) YOUR FIRST 3 WEEKS — a concrete start plan that gets a running app in week one. Every row is a clickable link. Full credit to every course author — star their repos.

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