# microsoft/AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

Repository: https://github.com/microsoft/AI-For-Beginners
Canonical: https://ross.abutalabs.com/products/ai-for-beginners
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: deep-learning, artificial-intelligence, machine-learning, ai, computer-vision, nlp, cnn, rnn, gan, microsoft-for-beginners
Last push: 2026-07-21T11:11:48+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 35, longevity 100
- inputs: {"age_days": 2009, "days_push": 43, "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 67163, forks 12950 (observed 2026-08-28T04:12:20.807479+00:00)

## What it is
A 12-week, 24-lesson open curriculum from Microsoft teaching artificial intelligence fundamentals, including neural networks, computer vision, NLP, and AI ethics. It provides lessons, quizzes, labs, and Jupyter notebooks using TensorFlow and PyTorch.

## Use cases
- learn AI from scratch
- beginner machine learning course
- study deep learning with hands-on notebooks
- self-paced AI curriculum
- learn computer vision and NLP basics
- teach an intro AI class

## When to choose
- you are new to AI/ML and want a structured, free curriculum
- you prefer hands-on Jupyter notebook labs with quizzes
- you want coverage of TensorFlow, PyTorch, and AI ethics in one place

## When to avoid
- you need production AI tooling rather than educational material
- you are an advanced practitioner seeking cutting-edge research topics
- you need a software library or framework to build applications with

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, nlp, computer-vision
- domain: artificial-intelligence, machine-learning, deep-learning, education, tutorials
- platform: python, cross-platform
- tags: curriculum, beginner-friendly, jupyter-notebooks, tensorflow, pytorch, microsoft, ai-ethics, course

## Member repositories
- microsoft/AI-For-Beginners (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:20.807479+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 2026-08-29T16:16:24.685288+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/AI-For-Beginners (fetched 2026-08-28T04:12:20.807479+00:00, sha 159c6fa5456b)
- Data as of 2026-08-30T08:39:29.467469+00:00.