ai-engineering-from-scratch
Learn, build, and deploy AI engineering skills from scratch.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and
Good fit when
- when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning.
- if you prefer learning through interactive sessions in your terminal, as the course can be installed and run directly from there.
Avoid when
- if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning.
- when you do not have access to Node.js or Python, as these are required for running the course and its interactive components.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (10d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 18, 2026
- Security (OSV)
- 118 low (118 low)
- As of Sep 18, 2026
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Install
pip install ai-engineering-from-scratch PyPIHow it fits your stack(13)
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Evidence and technical details
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Overview
A comprehensive course on AI engineering that covers a wide range of topics from foundational math to advanced AI agents and machine learning techniques.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
**Option A — learn in your terminal *(recommended)*.** After the Node.js,Source link
Source: README excerpt (regex_v1, Sep 18, 2026)
python3 phases/01-math-foundations/01-linear-algebra-intuition/code/vectors.pySource link
Source: README excerpt (regex_v1, Sep 18, 2026)
`.claude/skills/`, `.cursor/skills/`, `.codex/skills/`, or another supportedSource link
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README
Getting started Three ways in. Pick one. Option A — learn in your terminal (recommended) . After the Node.js, , host, and scope preflight above, install the learning skills into a compatible agent and let the course drive itself: Use the host specific invocation table above. The...
For agents
This page has a .md twin and JSON over the API.