Last updated: 2026-05-29
fast.ai is free nonprofit deep learning course teaching 500,000+ students practical AI. Open-source fastai library, Jupyter notebooks, no prerequisites...
fast.ai is a nonprofit offering completely free 7-week course on practical deep learning for 500,000+ students globally. Course covers computer vision, NLP, recommendation systems via top-down implementation-first approach. Open-source fastai library reduces code by 95%. No costs, only need intermediate Python knowledge.
fast.ai is a nonprofit research organization founded in 2016 by Jeremy Howard and Rachel Thomas providing completely free deep learning education to over 500,000 students globally. The Practical Deep Learning for Coders course teaches state-of-the-art AI for computer vision, NLP, and recommendation systems using a top-down approach, starting with working implementations before diving into theory. The only prerequisites are Python coding knowledge (1 year experience) and high school math. The 7-week course covers image classification, CNNs, NLP with transformers, time series, generative models, recommendation systems, and deployment. Lessons are delivered as video, transcripts, and executable Jupyter notebooks. fast.ai maintains the fastai library, an open-source deep learning framework sitting atop PyTorch that reduces code from thousands to dozens of lines. The community provides peer support through forums.fast.ai where thousands of students help each other. Primary use cases include Python developers transitioning to AI without academic prerequisites, working professionals building expertise while maintaining employment, and researchers optimizing models after learning fundamentals. Many fast.ai graduates have won international machine learning competitions and received offers from top AI companies. All educational materials, courses, and the fastai library remain completely free as a nonprofit with no paywalls, enrollment limits, or premium tiers. Funding comes from nonprofit status and founder resources rather than student fees. The organization also publishes the Deep Learning for Coders book and translates content into multiple languages.
Completely free. No pricing tiers, paywalls, or enrollment fees. All courses and fastai library permanently free as nonprofit.
fast.ai is a nonprofit organization founded 2016 offering completely free deep learning education. Practical Deep Learning for Coders course teaches computer vision, NLP, recommendation systems via top-down practical-first approach. Includes open-source fastai library and community forums.
Completely free. No pricing tiers, paywalls, or enrollment fees. All courses, video lessons, Jupyter notebooks, fastai library, and Deep Learning for Coders book are permanently free.
Main features include 7-week free course, open-source fastai library, video lessons with notebooks, community forum support, and Deep Learning for Coders book. Covers image classification, CNNs, NLP, time series, generative models, recommendation systems.
Yes, completely free as nonprofit with no paywalls. Only need intermediate Python knowledge and free GPU access through Kaggle or Google Colab for training models.
DeepLearning.AI for certification courses (some paid), Andrew Ng's Coursera courses, Stanford CS231n for computer vision, MIT OpenCourseWare for theory-first approach. For hands-on free learning, fast.ai is unmatched.
Best for Python developers wanting practical deep learning without academic prerequisites, working professionals building AI expertise, and researchers optimizing models. Not ideal for programming beginners or those needing live instructor support.
fast.ai is primarily educational; fastai library integrates with PyTorch and Python for programmatic use in research and production. Available on GitHub at github.com/fastai, installable via pip.