rohitg00/ai-engineering-from-scratch
Learn it. Build it. Ship it for others.
About the project
Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server.
Useful for
- Work through the math foundations phase to learn linear algebra for ML
- Build an agent following the Agent Engineering phase
- Install the AI tutor via npx skills add and get a personal plan in LEARNING.md
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 117 stars so far today, about 270 expected by the end of the day.
- Over the last two days the pace is 3.5× that of the previous week and a half.
- GitHub Trending today: #1, +310 stars.
- GitHub Trending Python today: #1, +310 stars.
- About 57 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 55,924
- Today
- 117 · ≈ 270 by evening
- Forks
- 9,871
- Issues and pull requests
- 464
- Watchers
- 355
- Language
- Python
- License
- MIT
- Latest release
- v2026.09 · September 7, 2026
- Created
- March 18, 2026
- Last push
- September 24, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 24, 2026GitHub Trending today: #1, +310 stars; GitHub Trending Python today: #1, +310 stars
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