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fast.ai

by fast.ai

Free, code-first deep learning courses for everyone.

Learning & Courses Free

What is fast.ai?

fast.ai offers completely free deep learning courses built around a top-down, code-first teaching philosophy: you train real models from day one and learn the underlying theory as you go, rather than starting with months of math prerequisites.

Key features

  • Completely free courses with no paywalled content
  • Code-first approach that gets you training models immediately
  • The widely used fastai Python library built alongside the courses
  • Active community forum for getting help and sharing projects
  • Courses covering both deep learning fundamentals and NLP

How to get started

  1. Go to fast.ai and start with the Practical Deep Learning course
  2. Follow along by running the provided notebooks yourself
  3. Use the fastai library to train your own models
  4. Join the community forum for help and project feedback

Use cases

  • Learning deep learning without extensive math prerequisites first
  • Getting hands-on with real model training quickly
  • Self-taught practitioners building a portfolio of projects
  • Supplementing more theoretical courses with practical coding

fast.ai vs. alternatives

ToolHow it compares
fast.aiFree, code-first deep learning courses for everyone.
DeepLearning.AImore structured, theory-first curriculum
Kagglecompetition-based practice instead of courses

FAQ

Is fast.ai free to use?

fast.ai's plans: Free. Pricing and free-tier limits change over time, so check the official site above for the latest details.

What is fast.ai used for?

Free, code-first deep learning courses for everyone.

Who is fast.ai best for?

fast.ai is a good fit for learning deep learning without extensive math prerequisites first, or getting hands-on with real model training quickly.

What are the alternatives to fast.ai?

Commonly compared alternatives include DeepLearning.AI and Kaggle, see the comparison above for how they differ.

Related tools

Last reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools