Abdirazak retweetledi
The full AI engineering curriculum is now free.
It's called AI Engineering from Scratch. 20 phases, 428 lessons, roughly 320 hours end to end. Free. MIT license. Runs on your own laptop.
The design principle that makes it different from everything else => every algorithm gets built from raw math before a single framework loads. Backprop by hand. Tokenizer by hand. Attention by hand. Agent loop by hand. Then you implement the same thing in PyTorch or sklearn. By the time the production library appears, you already know what it's doing underneath.
Every lesson ends with something you keep:
→ Prompt templates for any AI assistant
→ Skill files for Claude, Cursor, Codex, OpenClaw, Hermes
→ Agent definitions you wrote the loop for yourself
→ MCP servers built from scratch in Phase 13
428 lessons means 428 artifacts by the end. Tools you built and actually understand.
The full 20 phases:
→ Phase 0 - Setup & Tooling (12 lessons)
→ Phase 1 - Math Foundations (22 lessons)
→ Phase 2 - ML Fundamentals (18 lessons)
→ Phase 3 - Deep Learning Core (13 lessons)
→ Phase 4 - Computer Vision (28 lessons)
→ Phase 5 - NLP (29 lessons)
→ Phase 6 - Speech & Audio (17 lessons)
→ Phase 7 - Transformers Deep Dive (14 lessons)
→ Phase 8 - Generative AI (14 lessons)
→ Phase 9 - Reinforcement Learning (12 lessons)
→ Phase 10 - LLMs from Scratch (22 lessons)
→ Phase 11 - LLM Engineering (15 lessons)
→ Phase 12 - Multimodal AI (25 lessons)
→ Phase 13 - Tools & Protocols (23 lessons)
→ Phase 14 - Agent Engineering (42 lessons)
→ Phase 15 - Autonomous Systems (22 lessons)
→ Phase 16 - Multi-Agent & Swarms (25 lessons)
→ Phase 17 - Infrastructure & Production (28 lessons)
→ Phase 18 - Ethics, Safety & Alignment (30 lessons)
→ Phase 19 - Capstone Projects (17 projects, 20-40 hours each)
Python, TypeScript, Rust, Julia throughout.
GitHub Repo: github.com/rohitg00/ai-en…
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