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fast.ai

Non-profit research group providing free, accessible deep learning courses and open-source software.

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Intro

What is fast.ai?

fast.ai is a non-profit research group dedicated to deep learning and artificial intelligence, aiming to make neural networks accessible to everyone. The platform offers world-class, free education, including its highly acclaimed fast ai course, Practical Deep Learning for Coders, and specialized tracks like From Deep Learning Foundations to Stable Diffusion. In addition to educational content, fast.ai develops impactful open-source software like the fastai library for PyTorch and nbdev, a tool that revolutionizes literate programming by turning Jupyter Notebooks (often saved as .qmd files or standard notebooks) into production-ready software packages. Founded by Jeremy Howard and Rachel Thomas, fast.ai combines cutting-edge AI research with a mission of empowerment, diversity, and social justice.

fast.ai at a glance
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Pricing

fast.ai Pricing Plans

Compare fast.ai free options, fast.ai paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free

Pricing updated:Jun 11, 2026

Features

fast.ai AI Features

Free, high-quality deep learning courses including 'Practical Deep Learning for Coders'Open-source software libraries like fastai for PyTorch and nbdev for notebook-driven developmentActive research blog covering machine learning technical updates, AI ethics, and educationScholarship opportunities for open-source developers, fast.ai community contributors, and diversity scholars
Pros & Cons

fast.ai Pros and Cons

Pros

  • Completely free educational content and courses with no hidden fees
  • Practical, code-first teaching philosophy that breaks down complex AI concepts
  • Powerful open-source software ecosystem that accelerates development productivity
  • Strong focus on AI ethics, societal impacts, and community empowerment

Limitations

  • Courses require prior programming experience, which may be challenging for absolute beginners
  • Heavy reliance on specific ecosystem tools like Jupyter Notebooks and PyTorch

fast.ai FAQ

The curriculum includes comprehensive video lectures, hands-on coding projects, and the textbook 'Practical Deep Learning for Coders with fastai and PyTorch'. It covers foundational neural networks, advanced architectures, and cutting-edge topics like Stable Diffusion.