CODEOLOGY · OPEN-TOOL ENGINEERING FREE ACADEMY · EVIDENCE NEXT

Learn freely.
Build for real.

Study excellent foundations, then apply them in realistic software engineering work completed in your own editor and repository.

Use your own tools and AI companions. Codeology assesses the work—not whether you used AI—and never treats a badge as proof without evidence.

Explore the free academy See how evidence works
  1. 01 · LEARN Free foundations

    Read deeply, build from first principles, and keep the imported academy open to everyone.

  2. 02 · BUILD Your environment

    Complete realistic work in your own editor, repository, compute, and AI workflow.

  3. 03 · PROVE Inspectable evidence

    Bind review to an immutable commit and show exactly what supports each skill claim.

Featured free pathway

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. You ship a chatbot but can't explain its loss curve. You hook a function to an agent but can't say what attention does inside the model that's calling it.

This curriculum is the spine. 20 phases, 503 lessons, four languages: Python, TypeScript, Rust, Julia. Linear algebra at one end, autonomous swarms at the other. Every algorithm gets built from raw math first. Backprop. Tokenizer. Attention. Agent loop. 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 five-minute videos, no copy-paste deploys, no hand-holding. Free, open source, and built to run on your own laptop.

Academy at a glance
Finished Lessons 0 / 0
Phases 0 / 0
Languages 4
Glossary Terms ···
AI Engineering Foundations · 20 phases · 503 lessons
Tap a phase to expand its lessons. Each one ships when its math, code, and test are all written.
Complete In progress Planned
The book edition · six volumes
The course, compiled. EPUB and PDF built from the same lessons and attached to every GitHub release. The site stays the living edition — every chapter links back here for the animated figures, quizzes, and code.
Links resolve to the newest GitHub release · rebuilt by CI from the lessons on every release · how it's made
Independent certification preparation

Prepare by building the real systems

Four Claude certification paths taught the same way as the course: step by step, with interactive labs, practical artifacts, and an AI tutor that works from the GitHub repo.

4 tracks 33 certification lessons 295 original practice questions

Not affiliated with, endorsed by, sponsored by, or authorized by Anthropic. This curriculum does not issue credentials or guarantee a passing result.

Explore certifications Learn with the GitHub tutor
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The Codeology academy is on GitHub. Clone it, fork it, and learn at your own pace with no paywall or signup. The featured AI Engineering pathway remains free, attributed, and available from its original source.

git clone https://github.com/akshatporwal002/ai-engineering-from-scratch.git codeology