YT · YOUTUBE// 18d agoTUTORIAL

AI Engineering from Scratch unveils hands-on curriculum

AI Engineering from Scratch is an open-source GitHub curriculum for engineers who want the full picture of how to build and ship AI systems step by step. It spans 230+ hands-on lessons across 20 phases, covering math, classical ML, deep learning, LLMs, agents, and deployment in Python, TypeScript, Rust, and Julia.

// ANALYSIS

This feels more like a self-made AI engineering degree than a tutorial repo, and that ambition is the selling point. The first-principles path should help people understand the stack instead of just stitching together frameworks.

–It covers the whole progression from math foundations to agents, which is rare and genuinely useful for engineers
–The reusable outputs, including prompts, skills, agents, and MCP servers, make it more practical than a slide deck or video series
–Multi-language coverage broadens the audience, but Python will still be the most realistic on-ramp for most learners
–The main risk is overload: 20 phases is a lot, so the curriculum will live or die on pacing and navigation

// TAGS

ai-engineering-from-scratchllmagentmcpopen-source

DISCOVERED

18d ago

2026-03-24

PUBLISHED

18d ago

2026-03-24

RELEVANCE

7/ 10

AUTHOR

Github Awesome