20 phases · 473 lessons

AI Engineering from Scratch

Build every algorithm from raw math before importing a framework. Backprop, tokenizer, attention, and the agent loop — written by hand, then verified against production libraries.

Lessons shipped

Finished of the full curriculum spine

Phases
Languages
4
How this works

Most AI material teaches in scattered pieces. A paper here, a fine-tuning post there, a flashy agent demo somewhere else. The pieces rarely line up.

This curriculum is the spine. Linear algebra at one end, autonomous swarms at the other. Every algorithm gets built from raw math first. By the time PyTorch shows up, you already know what it’s doing under the hood.

Each lesson runs the same loop: read the problem, derive the math, write the code, run the test, keep the artifact. No paywall. Fully available on this server.

Progress

Current signal

Live counts from the mirrored curriculum on this host — no external calls.

Finished lessons 0 / 0
Phases 0 / 0
Languages Python · TS · Rust · Julia
Glossary ···
Table of contents

Twenty phases. One spine.

Tap a phase card to expand its lessons. Each one ships when its math, code, and test are written.

Complete In progress Planned
Colophon

Self-hosted curriculum. Lessons, quizzes, and artifacts are mirrored onto this server — open a lesson and it loads locally. No signup. Learn at your own pace.

Open Catalog → pick a lesson → read on this host