fast.ai

fast.ai is a non-profit deep learning education organization founded in 2016 by Jeremy Howard and Rachel Thomas, known for its code-first free hands-on courses and the open-source fastai library. It is not an interactive SaaS but a combination of courses, open-source libraries and a forum of 500,000+ learners, and it has been part of Answer.AI since 2024-11.

Core capabilities

• Free hands-on courses: Practical Deep Learning for Coders Part 1 has 9 lessons of about 90 minutes each, with runnable notebooks and an online book
• Code-first teaching: lesson 1 already trains and deploys an image classifier, then progressively reveals fastai → PyTorch → the underlying mathematics
• Open-source deep learning library: fastai (a high-level wrapper over PyTorch, Apache-2.0, 28k stars), nbdev, fasttransform
• Learner forum: forums.fast.ai supports 500,000+ learners, with an average response time under 2 hours
• Data ethics module: covers AI ethics and social impact, something traditional CS courses often lack
• Free compute access: follow the course directly with the free GPUs from Kaggle, Colab and Paperspace

Where it fits Suited to developers with about 1 year of programming experience (especially Python), career switchers, university students and researchers who want fast hands-on practice in image recognition, NLP, tabular data and recommender systems without needing a certificate; complete beginners should proceed with care.

Standout strengths In contrast to DeepLearning.AI, which is theory-first and certificate-bearing, fast.ai is code-first, completely free and certificate-free; compared with Hugging Face and Kaggle it covers a wider range of vision, tabular and recommendation topics. The absence of a paywall is its strongest price anchor.

Editorial review Course videos have been viewed 6 million+ times, while on GitHub fastai has 28k stars and fastbook 25.3k stars; its reputation rests mainly on editorial reviews (TechShark 9.6/10, China Economic Net 4.8/5 and others), and structured user reviews are thin (G2/Capterra has no entry of its own). The top choice for getting started with deep learning for free; points are deducted for not being a tool-shaped product, for having no certificate, and for content that occasionally lags behind library versions.