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ai-engineering-from-scratch

rohitg00/ai-engineering-from-scratch

Learn, build, and deploy AI engineering skills from scratch.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

449views this month

55k stars9.6k forksLast push Sep 7, 2026 Python MIT

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

Verify the decision

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

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install ai-engineering-from-scratch
PyPI

How it fits your stack(13)

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

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.

Node.js runtimeNode.js

Source: README excerpt (regex_v1, Sep 18, 2026)

**Option A — learn in your terminal *(recommended)*.** After the Node.js,
Source link
Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

python3 phases/01-math-foundations/01-linear-algebra-intuition/code/vectors.py
Source link
Works with CursorCursor

Source: README excerpt (regex_v1, Sep 18, 2026)

`.claude/skills/`, `.cursor/skills/`, `.codex/skills/`, or another supported
Source link

Tags

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.

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