fast.ai
To democratize deep learning by providing free courses, open-source software, and cutting-edge research to make AI accessible to people of all backgrounds.
At a Glance
- Developers
- Data Scientists
- Domain Experts
- Students
- +1 more
AI Tools by fast.ai
(1)
Practical Deep Learning for Coders
Free Deep Learning Course for Coders
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Products & Services
A high-level deep learning library built on top of PyTorch that provides high-level components for practitioners and low-level components for researchers.
A notebook-driven development platform that allows you to write, test, document, and distribute software entirely in Jupyter Notebooks.
The flagship free online course series that has trained hundreds of thousands of learners in deep learning best practices.
A library that brings powerful idioms from functional programming and other sources to Python.
Market Position
A leading alternative to complex deep learning frameworks, focused on usability and best practices over raw complexity. Distinct from corporate labs by being independent and community-focused.
Leadership
Founders
Jeremy Howard
Founding CEO of Answer.AI, previously CEO of Enlitic, President and Chief Scientist at Kaggle, and Founder of FastMail.FM. Former consultant at McKinsey & Co and AT Kearney. Honorary Professor at the University of Queensland and Digital Fellow at Stanford University.
Rachel Thomas
Co-founder of fast.ai, R&D at Answer.AI. Previously the founding director of the Center for Applied Data Ethics at the University of San Francisco. Former Software Engineer and Data Scientist at Uber. PhD in Mathematics from Duke University.
Executive Team
Jeremy Howard
Co-founder & CEO
Serial entrepreneur and deep learning researcher.
Rachel Thomas
Co-founder
Expert in data ethics and former director at USF Data Institute.
Founding Story
Jeremy Howard and Rachel Thomas started fast.ai to address the high barrier to entry in deep learning. They believed that AI should not be controlled by a small elite and aimed to empower domain experts (doctors, farmers, etc.) to use AI in their own fields.
Business Model
Revenue Model
Non-profit research institute; primarily funded by the founders and donations. Does not follow a traditional VC-backed startup model.
Pricing Tiers
All courses are available for free online.
Libraries like fastai, nbdev, and fastcore are open-source (Apache 2.0).
Target Markets
- Developers
- Data Scientists
- Domain Experts
- Students
- Researchers
- Deep learning education
- Scientific research using AI
- Open-source software development
- Democratizing AI in non-tech industries
- Hundreds of thousands of students worldwide
- Research teams using fastai for medical imaging and NLP