fast.ai

fast.ai

fast.ai makes deep learning accessible with free courses, open-source libraries, and practical AI education for coders.

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About fast.ai

fast.ai is a premier educational platform and research organization dedicated to democratizing artificial intelligence and deep learning. Founded by Jeremy Howard and Rachel Thomas, the platform provides free, hands-on courses designed for coders of all levels, eliminating barriers typically imposed by advanced mathematics prerequisites. This approach has made deep learning education accessible to practitioners worldwide, from beginners to experienced developers seeking to expand their AI capabilities. The platform offers a comprehensive toolkit of open-source libraries and development frameworks that accelerate AI projects. The fastai library simplifies PyTorch development with high-level abstractions, while nbdev enables notebook-driven software development that seamlessly bridges research and production code. Additional tools like fasttransform provide reversible data pipelines that maintain transparency and reproducibility throughout machine learning workflows. fast.ai's educational content extends beyond video courses to include the widely-adopted book 'Practical Deep Learning for Coders with fastai and PyTorch,' available free online, and an active blog addressing both technical innovations and critical discussions around AI ethics, societal impact, and responsible development practices. The community remains central to the platform's mission, fostering collaboration through forums and providing scholarships to support diverse learners. Recently, fast.ai expanded its offerings through partnership with Answer.AI, launching Solveit, an interactive coding education platform powered by AI assistance. This addition brings real-time, iterative problem-solving to learners, reflecting the organization's commitment to evolving with modern development practices and making practical AI exploration more intuitive and effective.

Features

  • Free practical deep learning courses for coders
  • fastai open-source library for PyTorch
  • nbdev: notebook-driven software development tool
  • Solveit interactive coding education platform
  • fasttransform: reversible data pipeline library
  • Active blog on AI, ethics, and society
  • Practical Deep Learning book (free online)
  • Community forum and open-source scholarships

Pros

👍 Free, practical courses designed for coders without requiring advanced math 👍 Open-source libraries and tools reduce friction for real-world AI development 👍 Comprehensive curriculum covering deep learning, LLMs, and diffusion models 👍 Active community with forums, scholarships, and collaborative learning support 👍 Blends education with critical discussions on AI ethics and societal impact

Cons

👎 Primarily requires Python and coding knowledge; not ideal for non-technical lear 👎 Rapid curriculum updates may require learners to frequently refresh course mater 👎 Community-driven support means response times vary based on volunteer availabili 👎 Some advanced topics assume familiarity with machine learning fundamentals