ai-engineering-from-scratch is by rohitg00 — not by us.
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Indexed Oct 19, 2026 · 71,312 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
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ai-engineering-from-scratch
unclaimed listingactively maintainedFreeMIT
Learn AI Engineering! Learn it. Build it. Ship it for others.
by Open Source Community · New publisher
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rohitg00/ai-engineering-from-scratch is an open-source project by rohitg00: Learn AI Engineering! Learn it. Build it. Ship it for others.. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/rohitg00/ai-engineering-from-scratch
From the project's own README (excerpt, reproduced for discovery under its MIT license):
Implement model internals, retrieval pipelines, and agent runtimes. Test them, inspect failures, and keep the code and evaluation results.
Start learning · Choose a path · Try a lab · Build a project · Browse the curriculum
Free, open source, MIT. Learn on the website, with a coding agent, or by running local code.
> 542 lessons. 20 phases. Python, TypeScript, Rust, Julia.
Read in your language
🇬🇧 English · 🇨🇳 简体中文 · 🇹🇼 繁體中文（台灣） · 🇯🇵 日本語 · 🇰🇷 한국어 · 🇵🇹 Português · 🇧🇷 Português (Brasil) · 🇪🇸 Español · 🇩🇪 Deutsch · 🇫🇷 Français · 🇮🇹 Italiano · 🇳🇱 Nederlands · 🇵🇱 Polski · 🇨🇿 Čeština · 🇷🇴 Română · 🇭🇺 Magyar · 🇬🇷 Ελληνικά · 🇸🇪 Svenska · 🇩🇰 Dansk · 🇳🇴 Norsk · 🇫🇮 Suomi · 🇷🇺 Русский · 🇺🇦 Українська · 🇹🇷 Türkçe · 🇮🇱 עברית · 🇸🇦 العربية · 🇮🇷 فارسی · 🇮🇳 हिन्दी · 🇧🇩 বাংলা · 🇵🇰 اردو · 🇹🇭 ไทย · 🇻🇳 Tiếng Việt · 🇮🇩 Bahasa Indonesia · 🇵🇭 Tagalog
Sponsors
Your support keeps every lesson free and open source. See all supporters · Become a sponsor
Learning paths
Route Starting lesson --- --- Model foundations Setup and tooling LLM systems Prompt engineering Agents and delivery The agent loop
Compare career paths · Prerequisites and study time
Gradient descent
Twenty starting points follow gradient descent on a quadratic loss. The graph shows their positions and mean loss after each update.
Adjust the learning rate in the lesson · Compare GD, momentum, and Adam in code
Projects
Three projects with staged starters, reference implementations, and local graders. Run commands from the repository root after setup. Starters fail until you implement the stages.
01 · Retrieval Evaluation Lab ·…
Preview
See what it does before you commit. Previews show behavior, never source code.
01Capabilities
Does
- No capabilities recorded
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
No endorsements yetNo verified confirmations yet — be the first.
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Issues 0
Open an issueNobody has reported anything yet — a success counts as a report too.
04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.
05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Oct 19, 2026 | Indexed listing — see the upstream repository for real release history. |