# fast.ai

According to OpenAITools.app telemetry verified on 2026-11-11, fast.ai (fast.ai) is an AI platform indexed under AI Course generating 279.85K monthly visits with a month-over-month traffic delta of -40.22K (-12.6%). Its primary geographic market is United States (25.7% traffic share), and it operates on a Free pricing model. Top competing alternatives by monthly volume include Coddy (7.48M visits/mo), DataCamp (6.24M visits/mo), MagicSchool AI (2.87M visits/mo).

Free practical deep learning courses, research and open-source libraries

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | fast.ai |
| Handle | fast-ai |
| Official Domain | fast.ai |
| Website URL | https://www.fast.ai |
| Categories | AI Course, Large Language Models (LLMs), AI Developer Tools, AI Research Tool, Open Source AI Models |
| Pricing Model | Free |
| Monthly Visits | 279,848 |
| MoM Traffic Change | -40,215 |
| MoM Growth Rate | -12.6% |
| Primary Market | United States |
| Market Share | 25.7% |
| Direct Visits | 158,175 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 20,466 |
| Email Visits | 4,395 |
| Review Score | 5 |
| Saved Count | 4 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Pricing: Free; Features: Website |
| Tags | Deep learning, Artificial intelligence, Machine learning, Courses, PyTorch, AI ethics, Education, Software, nbdev, Blog |

## Overview

fast.ai began with a simple premise: deep learning should be taught top-down, starting with working code that produces results on day one, and only then unpacking the theory. That approach produced Practical Deep Learning for Coders, one of the most widely followed free courses in the field, aimed at people with programming experience rather than advanced mathematics. Later offerings include From Deep Learning Foundations to Stable Diffusion and the newer How to Solve It With Code, which replaced the traditional course format with a problem-solving platform.

Software is the second pillar. The fastai library layers a high-level, opinionated API on top of PyTorch so that training state-of-the-art models takes a handful of lines, while remaining flexible enough for research. nbdev lets teams develop, document and publish entire Python packages from inside Jupyter notebooks, solving the long-standing friction between notebooks and version control. Both projects are open source and supported by an active community forum and documentation.

Alongside teaching and tooling, fast.ai publishes widely read writing on the societal side of AI, including critiques of how AI power concentrates, debates about AI safety framing, and analysis of education and technology. In late 2024 the organisation announced it was joining Answer.AI, a new kind of R&D lab focused on building practical end-user products from foundational research, while the fast.ai blog and course materials remain freely available.

## Pricing & Plans

Everything fast.ai produces is free: the courses, the fastai and nbdev libraries, the documentation and the blog. There is no paid tier, though donations and community contributions are welcome.

## Key Features & Capabilities

- **Practical Deep Learning for Coders:** A free, top-down course that gets you training real models immediately and explains the theory as you go, with notebooks and video lessons.
- **How to Solve It With Code:** A newer educational format that teaches iterative, exploration-driven problem solving with an interactive platform, replacing the classic course structure.
- **fastai library for PyTorch:** A high-level API that makes modern deep learning techniques concise and accessible while staying flexible for research work.
- **nbdev:** Develop, test, document and publish complete Python packages directly from Jupyter notebooks, ending the notebook-versus-git conflict.
- **Research and blog:** Long-form articles on AI in society, education, ethics, technical deep dives and attitudes, plus an active community forum.

## Primary Use Cases

- **Going from software skills to deep learning (Developers learning AI):** Programmers with no machine learning background can start building and deploying models on day one, then fill in the mathematics.
- **A faster implementation toolkit (Data scientists and ML engineers):** Use the fastai library to prototype vision, text and tabular models quickly, or nbdev to turn notebooks into maintained packages.
- **Free course material to teach from (Educators):** Instructors can base university, bootcamp or internal training programmes on openly available notebooks, videos and documentation.
- **Context on AI and society (Researchers and policy readers):** Follow critical, well-cited commentary on AI ethics, power concentration, education and the realities behind AI hype.

## Strengths

- Completely free courses, libraries and reading material with no paywall
- Top-down teaching style that suits working developers
- Backed by production-grade open-source software used well beyond the courses
- Independent, critical writing on AI ethics and society alongside technical content

## Limitations

- Teaching style is opinionated, so some learners prefer a theory-first curriculum
- Course content evolves gradually and older materials can drift out of date
- No formal certification, tutoring or career support is offered

## Frequently Asked Questions

### Is fast.ai really free?
Yes. The courses, the fastai and nbdev libraries, the documentation and the blog are all free to access, with no premium tier.

### Do I need a maths or machine learning background?
No. The courses assume programming experience rather than advanced mathematics and introduce the necessary concepts as they come up.

### What is the fastai library?
It is an open-source deep learning library that provides a high-level API on top of PyTorch, used for computer vision, natural language processing, tabular data and recommendation models.

### What happened to fast.ai's courses?
The organisation joined Answer.AI in late 2024 and introduced a new educational format called How to Solve It With Code, while its earlier courses and blog remain available.

### What is fast.ai's monthly traffic and growth trend?
fast.ai currently receives 279.85K monthly visits, with a month-over-month traffic change of -40.22K (-12.6% growth rate). Its primary source market is United States (25.7% share), including 158.18K direct visits/mo and 0 organic search visits/mo.

### Is fast.ai free? What is its pricing model?
fast.ai operates on a Free pricing model. Everything fast.ai produces is free: the courses, the fastai and nbdev libraries, the documentation and the blog. There is no paid tier, though donations and community contributions are welcome. Supported billing and checkout platforms include: not listed.

### What are the best fast.ai alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to fast.ai are: 1. Coddy (7.48M visits/mo); 2. DataCamp (6.24M visits/mo); 3. MagicSchool AI (2.87M visits/mo); 4. DeepLearning.AI (2.56M visits/mo); 5. Brilliant (2.43M visits/mo).

### Which platforms and core AI capabilities does fast.ai support?
fast.ai is classified under AI Course, Large Language Models (LLMs), AI Developer Tools, AI Research Tool, supports the following platforms: Website, and its core capability tags include: Deep learning, Artificial intelligence, Machine learning, Courses, PyTorch, AI ethics.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Coddy](https://openaitools.app/tool/coddy-tech) | 7,478,457 | Contact for Pricing | [Compare](https://openaitools.app/compare/coddy-tech-vs-fast-ai) |
| [DataCamp](https://openaitools.app/tool/datacamp-com) | 6,237,230 | Freemium | [Compare](https://openaitools.app/compare/datacamp-com-vs-fast-ai) |
| [MagicSchool AI](https://openaitools.app/tool/magicschool-ai) | 2,874,288 | Freemium, Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/fast-ai-vs-magicschool-ai) |
| [DeepLearning.AI](https://openaitools.app/tool/deeplearning-ai) | 2,562,512 | Freemium | [Compare](https://openaitools.app/compare/deeplearning-ai-vs-fast-ai) |
| [Brilliant](https://openaitools.app/tool/brilliant) | 2,426,610 | Freemium | [Compare](https://openaitools.app/compare/brilliant-vs-fast-ai) |
| [PTE APEUni](https://openaitools.app/tool/apeuni-com) | 1,989,988 | Free | [Compare](https://openaitools.app/compare/apeuni-com-vs-fast-ai) |
| [LANDR](https://openaitools.app/tool/landr) | 1,825,453 | Paid | [Compare](https://openaitools.app/compare/fast-ai-vs-landr) |
| [Skillsoft Percipio](https://openaitools.app/tool/percipio-com) | 1,781,741 | Contact for Pricing | [Compare](https://openaitools.app/compare/fast-ai-vs-percipio-com) |
| [Prep Edu](https://openaitools.app/tool/prep-edu) | 1,764,651 | Paid | [Compare](https://openaitools.app/compare/fast-ai-vs-prep-edu) |
| [LabEx.io](https://openaitools.app/tool/labex-io) | 1,242,923 | Freemium | [Compare](https://openaitools.app/compare/fast-ai-vs-labex-io) |
| [ELSA Speak](https://openaitools.app/tool/elsaspeak-com) | 1,227,799 | Freemium, Free Trial | [Compare](https://openaitools.app/compare/elsaspeak-com-vs-fast-ai) |
| [CodeSignal](https://openaitools.app/tool/codesignal) | 1,173,872 | Contact for Pricing | [Compare](https://openaitools.app/compare/codesignal-vs-fast-ai) |

---
Source: https://openaitools.app/tool/fast-ai