ai-engineering-from-scratch

AI Engineering From Scratch is a free, open source course that teaches how AI models, retrieval systems, and agents work by building them.

What it is good for

  • Learning how AI agent runtimes work by writing the code
  • Testing retrieval pipelines and inspecting their failures
  • Building a tool call firewall with role checks and approvals
  • Following a structured path from AI basics to agent delivery

At a glance

Who it is for
Setup
Works in your browser or phone

Level 1 of 5. Nothing to install. Open a website or app and start.

Cost
Free and open source
Type
List or tutorial
Tasks
Works with
Claude Code, Codex, Cursor

Momentum

Rank this week
Not ranked yet
Best rank
None yet
GitHub stars
76,320

GitHub numbers as of Nov 2, 2026. Updated weekly.

53.7k 65.9k 78k Sep 24, 2026 Nov 2, 2026
GitHub stars for ai-engineering-from-scratch: 55,406 on Sep 24, 2026, 76,320 on Nov 2, 2026. Source: GitHub.

Questions

Is ai-engineering-from-scratch free?
Yes. It is free and open source (MIT license).
Do I need to know how to code to use ai-engineering-from-scratch?
No. Nothing to install. Open a website or app and start.
What does ai-engineering-from-scratch work with?
According to its own documentation, it works with Claude Code, Codex, and Cursor.
What is ai-engineering-from-scratch good for?
Learning how AI agent runtimes work by writing the code, testing retrieval pipelines and inspecting their failures, building a tool call firewall with role checks and approvals, and following a structured path from AI basics to agent delivery.

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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. Parts of this summary required judgment because the source material was brief. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.