# rohitg00/ai-engineering-from-scratch

> 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.

- Magnitude: 4.8 out of 10 — Breakout
- Stars: 55,967 total · +164 stars today, ≈ 321 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · License: MIT · Created: 2026-03-18 · Last push: 2026-09-24
- GitHub: https://github.com/rohitg00/ai-engineering-from-scratch · Homepage: https://aiengineeringfromscratch.com · Page: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch

## 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

## Why it’s here

- 164 stars so far today, about 321 expected by the end of the day.
- Over the last two days the pace is 3.8× that of the previous week and a half.
- GitHub Trending today: #1, +310 stars.
- GitHub Trending Python today: #1, +310 stars.
- About 145 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 9,876
- Issues and pull requests: 464
- Watchers: 355
- Average over the last week: 181 per day
- Usual pace: 212 per day
- Stars in the last hour (measured): 55
- Latest release: v2026.09 (2026-09-07)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-08-26 … 2026-09-24: 499, 587, 387, 347, 340, 297, 244, 240, 209, 99, 86, 157, 270, 361, 638, 304, 124, 96, 122, 127, 126, 103, 95, 72, 62, 69, 86, 235, 419, 164

## Spotted in now

- GitHub Trending today: #1, +310 stars
- GitHub Trending Python today: #1, +310 stars

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-24 13:15 UTC, updated every 30 minutes.