# dair-ai/ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

Repository: https://github.com/dair-ai/ML-YouTube-Courses
Canonical: https://ross.abutalabs.com/products/ml-youtube-courses
License: CC0-1.0
License Family: permissive
Topics: machine-learning, deep-learning, nlp, natural-language-processing, ai, data-science
Last push: 2024-01-22T15:52:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1895, "days_push": 954, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17383, forks 2126 (observed 2026-08-28T04:11:19.624636+00:00)

## What it is
A curated index of machine learning, deep learning, NLP, and AI courses available on YouTube, organized by topic. It is a reference list maintained by DAIR.AI rather than a software tool.

## Use cases
- find free machine learning courses on youtube
- learn deep learning from stanford and mit lectures
- discover nlp course videos
- find courses on llm app development and prompt engineering
- locate full stack deep learning and mlops lectures
- find beginner-friendly neural network tutorials

## When to choose
- you want free, university-quality ML/AI video courses
- you need a quick curated starting point for self-study
- you want links to recent courses on LLMs and practical ML

## When to avoid
- you need structured lessons with graded assignments or certificates
- you want an interactive learning platform rather than a link list
- you need offline or non-YouTube course material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: machine-learning, deep-learning, data-science, tutorials, artificial-intelligence
- platform: -
- tags: curated-list, youtube-courses, awesome-list, education, free-courses, natural-language-processing, web-server

## Member repositories
- dair-ai/ML-YouTube-Courses (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:19.624636+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:58.668156+00:00, confidence not recorded.
  - readme: https://github.com/dair-ai/ML-YouTube-Courses (fetched 2026-08-28T04:11:19.624636+00:00, sha a1358f4a4df2)
- Data as of 2026-08-30T08:39:29.467469+00:00.