# fast.ai vs The Full Stack (fullstackdeeplearning.com)

fast.ai records 250,720 monthly visits with -10.4% month-over-month growth and Free pricing. The Full Stack (fullstackdeeplearning.com) records 46,082 monthly visits with +6.6% growth and Free (educational content) pricing.

| Metric | [fast.ai](https://openaitools.app/tool/fast-ai) | [The Full Stack (fullstackdeeplearning.com)](https://openaitools.app/tool/fullstackdeeplearning-com) |
| :--- | :--- | :--- |
| Website URL | https://www.fast.ai | https://fullstackdeeplearning.com |
| Categories | AI Course, Large Language Models (LLMs), AI Developer Tools, AI Research Tool | AI Course, Large Language Models (LLMs), Prompt Engineering, AI Developer Tools |
| Pricing Model | Free | Free (educational content) |
| Monthly Visits | 250,720 | 46,082 |
| MoM Growth Rate | -10.4% | +6.6% |
| Primary Market | United States | United States |
| Direct Visits | 136,995 | 26,064 |
| Review Score | 4.8 | 4.6 |
| Saved Count | 4 | 1 |
| Supported Platforms | Website | Website |

## fast.ai

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.

- **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.

**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

[Profile (Markdown)](https://openaitools.app/tool/fast-ai.md)

## The Full Stack (fullstackdeeplearning.com)

Full Stack Deep Learning began as a course teaching engineers to take deep learning from notebook to production, and it has grown into a broader educational hub. The site hosts complete course materials — lecture pages, slides, lab notebooks, and video walkthroughs — for both its Deep Learning Course and its LLM Bootcamp, so learners can follow along at their own pace without paying for a seat.

The curriculum is deliberately full-stack rather than model-centric. The Deep Learning Course covers development infrastructure, experiment management, troubleshooting and testing, data management and annotation, deployment, continual learning, and model monitoring, plus team and project management and ethics. The LLM Bootcamp goes into prompt engineering, augmented language models, LLMOps, and user experience for language interfaces, and includes build-along project walkthroughs.

Beyond courses, the site publishes a blog, hosts a manifesto on building AI products collaboratively, and maintains reference material such as a cloud GPU pricing guide. Because the materials are released publicly and remain accessible, the site functions as a long-lived library rather than a time-boxed bootcamp, and its audience spans individual developers, teams, and educators looking for structured material.

**Pricing & Plans:** The published course material on fullstackdeeplearning.com is available free of charge. There is no conventional subscription or per-seat pricing listed on the site; the project has historically been supported by sponsors and community interest. Any future paid programs would be announced on the site.

- **Free LLM Bootcamp materials:** Lecture pages and resources covering prompt engineering, augmented language models, LLMOps, and language UI/UX.
- **Full Deep Learning Course archive:** Multi-year course content on infrastructure, data management, deployment, monitoring, and ML team organization.
- **Working with AI Agents:** Current material on collaborating with and building agent-based systems, including a perspective on multiplayer AI.
- **Cloud GPU reference:** A maintained guide to cloud GPU options that helps teams choose compute for training and inference.
- **Blog and community resources:** Articles and updates aimed at practitioners building AI products, with a newsletter to follow new releases.

**Strengths:** Course materials are open and free to follow at your own pace; Covers the full product lifecycle, not just model training; Maintained across multiple years, so it documents how practice evolved; Includes hands-on labs and build-along project walkthroughs

**Limitations:** Some flagship courses date from 2021-2023, so tooling specifics age; Not an interactive cohort programme, so there is no instructor feedback; Sparse on formal certification or structured assessments

[Profile (Markdown)](https://openaitools.app/tool/fullstackdeeplearning-com.md)

## Frequently Asked Questions

### How do fast.ai and The Full Stack (fullstackdeeplearning.com) compare in monthly traffic?

fast.ai has 250,720 monthly visits, while The Full Stack (fullstackdeeplearning.com) has 46,082. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

fast.ai has a month-over-month growth rate of -10.4%; The Full Stack (fullstackdeeplearning.com) has +6.6%.

### How does pricing compare?

fast.ai: Free. 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. The Full Stack (fullstackdeeplearning.com): Free (educational content). The published course material on fullstackdeeplearning.com is available free of charge. There is no conventional subscription or per-seat pricing listed on the site; the project has historically been supported by sponsors and community interest. Any future paid programs would be announced on the site.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepLearning.AI](https://openaitools.app/tool/deeplearning-ai) | 2,562,512 | -7.2% | Freemium | AI engineering courses, certificates, and the world's biggest AI newsletter | [.md](https://openaitools.app/tool/deeplearning-ai.md) |
| 2 | [The Rundown AI](https://openaitools.app/tool/the-rundown-ai) | 1,018,070 | +28.6% | Free | The top AI news and how to apply it, in five minutes a day | [.md](https://openaitools.app/tool/the-rundown-ai.md) |
| 3 | [OpenAI Academy](https://openaitools.app/tool/openai-academy) | 937,379 | -6.3% | Free | Free courses, live events and community for building real AI skills | [.md](https://openaitools.app/tool/openai-academy.md) |
| 4 | [LabLab.ai](https://openaitools.app/tool/lablab-ai) | 431,529 | -39.7% | Free | Free AI hackathons and a global community for AI builders | [.md](https://openaitools.app/tool/lablab-ai.md) |
| 5 | [Learn Prompting](https://openaitools.app/tool/learn-prompting) | 159,807 | -8.6% | Freemium, Free Trial, Contact for Pricing | Free open course for prompt engineering and AI security | [.md](https://openaitools.app/tool/learn-prompting.md) |
| 6 | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) | 159,630 | +15.9% | Free | Community hub for data science, machine learning and AI practitioners | [.md](https://openaitools.app/tool/ods-ai.md) |
| 7 | [AIToolGo](https://openaitools.app/tool/aitoolgo) | 85,066 | +11.8% | Free | Discover AI tools and learn AI fundamentals in one searchable hub | [.md](https://openaitools.app/tool/aitoolgo.md) |
| 8 | [AI SDK Agents](https://openaitools.app/tool/ai-sdk-agents) | 26,211 | -26.2% | Freemium | Full-stack Vercel AI SDK patterns for shipping real AI apps | [.md](https://openaitools.app/tool/ai-sdk-agents.md) |
| 9 | [LAION](https://openaitools.app/tool/laion) | 18,486 | -24.1% | Free | Publishes open-source datasets and research models, but focuses on raw AI research rather than structured educational tutorials. | [.md](https://openaitools.app/tool/laion.md) |
| 10 | [AI Online Course](https://openaitools.app/tool/ai-online-course) | 14,577 | +4.8% | Free | Free hands-on AI, machine learning and data science training | [.md](https://openaitools.app/tool/ai-online-course.md) |

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Source: https://openaitools.app/compare/fast-ai-vs-fullstackdeeplearning-com

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