Free, open-source AI engineering course where you build each algorithm by hand: 523 lessons, now as EPUB/PDF books [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
AI Engineering from Scratch is an MIT-licensed curriculum: 523 lessons across 20 phases, from linear algebra and backprop to transformers, LLMs, agents, and production serving. The code is stdlib-first, so you see every step instead of calling a library.
This month's edition:
- six EPUB and PDF volumes built from the lessons, attached to the release
- the site interface and lessons in eight languages (Chinese, Hindi, Spanish, Arabic, French, Portuguese, Turkish, Vietnamese)
- CI now runs each lesson's own tests, and a sweep fixed datasets, models, and links that had stopped working
Site: https://aiengineeringfromscratch.com
Books and release notes: https://github.com/rohitg00/ai-engineering-from-scratch/releases/tag/v2026.10
If you use a coding agent, npx skills add rohitg00/ai-engineering-from-scratch and then /start-learning gives you a placement quiz and a study plan.
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