ai-engineering-from-scratch

Read the source on GitHub Project homepage

What it does

An editorial selection.

Free curriculum of 542 lessons in 20 phases: implement model internals, retrieval pipelines and agent runtimes in Python, TS, Rust and Julia.

Why it is listed

Learn AI engineering by building and testing the actual parts.

GitHub describes it as: Learn AI Engineering! Learn it. Build it. Ship it for others.

Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.

Repository at a glance

Stars: 74,682
Forks: 13,097
Open issues: 23
Merged PRs: 332
Commits, last 30 days: 811
Stars, 7 days: unavailable
Stars, 30 days: unavailable

Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.

History

History: 2 observations, 2026-10-27 to 2026-10-28. Dots are observations; lines connect consecutive daily observations only.

Project details

Language: Python
Licence: MIT
Created: 18 Mar 2026
Last push: 23 Oct 2026
Latest release: v2026.10.4 · 19 Oct 2026
Category: Learning Resources
Topics: agents ai ai-agents ai-engineering computer-vision course deep-learning from-scratch generative-ai llm
Observed: 2026-10-27 23:15:40 UTC

Explore and get started

Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by rohitg00.

Read the README and setup instructionsFeatures, prerequisites, examples and documentation links.
Browse releases and changelogsPublished versions and the changes made between releases.
Check licence and usage termsMIT is the licence reported by GitHub; read the repository terms before use.
Read pull requestsProposed changes and development discussions.
Browse reported issuesKnown problems, feature requests and maintainer responses.

Development context

These are observations of work in the repository. They do not establish quality, security or support commitments.

Total commits on default branch: 2,626
Open pull requests: 61
Closed issues, lifetime: 101
Median time to close an issue: 11.8 days
Median time to merge a pull request: 0.0 days

Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.

Other projects in Learning Resources, ordered by shared topics and then name. These are discovery links, not equivalence claims.