ai-engineering-from-scratch
Open-source guide to learn, build and ship AI engineering
ai-engineering-from-scratch is an open-source, MIT-licensed AI engineering curriculum written in Python, covering 523 lessons across 20 phases from linear algebra and backpropagation to transformers, LLMs, agents and production serving. Recent coverage focused on its addition of six EPUB and PDF volumes, eight language versions, and CI that runs each lesson's tests, alongside repeated GitHub Trending appearances.
Open-source guide to learn, build and ship AI engineering
The MIT-licensed 'AI Engineering from Scratch' curriculum spans 523 lessons across 20 phases, from linear algebra and backprop to transformers, LLMs, agents and production serving. This month it added six EPUB and PDF volumes, eight language versions, and CI that runs each lesson's tests.
Learn it, build it, ship it for others
Learn, build and ship AI engineering from scratch.
Learn, build and ship AI engineering projects from scratch.
A Python repo to learn, build, and ship AI engineering from scratch.
Open-source Python project to learn and build AI engineering from scratch.
Learn, build, and ship AI engineering from scratch