rohitg00/ai-engineering-from-scratch
Learn AI Engineering! Learn it. Build it. Ship it for others.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
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. 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 · 🇹🇭…
Read the full README ↗ · Preview checked 2026-10-30T22:50:04.380Z
Inside the original README — Document outline
- Sponsors
- Learning paths
- Gradient descent
- Projects
- Choose how to learn
- On the website
- With an AI tutor
- The learning skills
- Run local code
- Use every lesson the same way
- Choose a learning path
- Prerequisites
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Links from the README
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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Learn AI Engineering! Learn it. Build it. Ship it for others.
Repository facts
- Owner
- rohitg00
- Primary language
- Python
- Stars
- 76,162
- Forks
- 13,459
- Open issues + pull requests
- 91
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-03-18T18:38:02.000Z
- Last push
- 2026-10-29T15:07:57.000Z
Topics and intended use
Owner-supplied topics: agents, ai, ai-agents, ai-engineering, computer-vision, course, deep-learning, dsh, from-scratch, generative-ai, llm, machine-learning, mcp, python, rea, reinforcement-learning, rust, transformers, tutorial, typescript
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-11-01T12:19:42.808Z. Daily imports are snapshots, not real-time monitoring.
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