# Brilliant vs The Full Stack (fullstackdeeplearning.com)

Brilliant records 2,426,610 monthly visits with -11.9% month-over-month growth and Freemium pricing. The Full Stack (fullstackdeeplearning.com) records 46,082 monthly visits with +6.6% growth and Free (educational content) pricing.

| Metric | [Brilliant](https://openaitools.app/tool/brilliant) | [The Full Stack (fullstackdeeplearning.com)](https://openaitools.app/tool/fullstackdeeplearning-com) |
| :--- | :--- | :--- |
| Website URL | https://brilliant.org | https://fullstackdeeplearning.com |
| Categories | AI Course, AI Tutorial, AI For Data Analytics | AI Course, Large Language Models (LLMs), Prompt Engineering, AI Developer Tools |
| Pricing Model | Freemium | Free (educational content) |
| Monthly Visits | 2,426,610 | 46,082 |
| MoM Growth Rate | -11.9% | +6.6% |
| Primary Market | United States | United States |
| Direct Visits | 1,204,931 | 26,064 |
| Review Score | 4.6 | 4.6 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## Brilliant

Brilliant takes a different approach to learning: rather than watching long videos or reading dense textbooks, you build understanding by solving interactive problems. Lessons break big ideas down into small visual steps, so concepts in algebra, calculus, statistics, logic and Python become intuitive. The platform is designed for self-paced learners from roughly middle-school level up to college and beyond, and it adds a new AI tutor called Koji who asks guiding questions and sketches on screen to help you find answers yourself.

Beyond pure math, Brilliant covers computer science fundamentals, programming, data analysis and how modern AI actually works, including neural networks, tokenization and model reasoning. Each track uses mastery assessments that adapt to your level, revisiting weak spots and serving targeted practice so progress is measurable rather than vague. Real-world examples, such as image filters or password security, connect abstract ideas to everyday technology.

The platform is also used by schools and families. It is accredited by ACS WASC, certified under the kidSAFE/COPPA program, and offers classroom and teacher programs so educators can assign adaptive lessons and homework. For individual learners, the app is available on web and mobile, with progress syncing across devices.

**Pricing & Plans:** Brilliant uses a freemium model: a limited free experience is available, while a Premium subscription unlocks the full course library and unlimited practice. Annual plans are the cheapest per month, and there are separate school/classroom plans.

- **Interactive problem-based lessons:** Learn math, science, CS and AI through short, visual exercises that build intuition step by step rather than passive video watching.
- **Koji AI tutor:** A visual, interactive tutor that works on a shared canvas, asks guiding questions and gives hints without simply revealing the answer.
- **Adaptive mastery assessments:** Quizzes and reviews adapt to your level, tracking what you have mastered and resurfacing topics that still need work.
- **Coding and CS foundations:** Write and run real code to learn programming logic, algorithms, data structures and debugging skills relevant to the AI era.
- **Courses for schools and families:** Accredited classroom programs let teachers assign adaptive lessons, with kidSAFE/COPPA-certified privacy protections.

**Strengths:** Hands-on, visual format makes abstract concepts easier to grasp; Access to the Koji AI tutor that guides rather than gives away answers; Accredited and kidSAFE/COPPA certified, suitable for schools and families; Works across web and mobile with syncing progress

**Limitations:** Full course library requires a paid Premium subscription; Not a replacement for formal instruction or credentials; Some advanced or niche topics are not covered deeply

[Profile (Markdown)](https://openaitools.app/tool/brilliant.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 Brilliant and The Full Stack (fullstackdeeplearning.com) compare in monthly traffic?

Brilliant has 2,426,610 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?

Brilliant has a month-over-month growth rate of -11.9%; The Full Stack (fullstackdeeplearning.com) has +6.6%.

### How does pricing compare?

Brilliant: Freemium. Brilliant uses a freemium model: a limited free experience is available, while a Premium subscription unlocks the full course library and unlimited practice. Annual plans are the cheapest per month, and there are separate school/classroom plans. 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 | [Coddy](https://openaitools.app/tool/coddy-tech) | 7,478,457 | +17.8% | Freemium | Focuses specifically on interactive programming and coding lessons, whereas Brilliant covers broad STEM and math concepts. | [.md](https://openaitools.app/tool/coddy-tech.md) |
| 2 | [Astra AI](https://openaitools.app/tool/astra-ai) | 7,356,157 | +40.3% | Freemium, Paid | Your personal AI tutor for every subject, from notes to exam day. | [.md](https://openaitools.app/tool/astra-ai.md) |
| 3 | [DataCamp](https://openaitools.app/tool/datacamp-com) | 6,237,230 | -0.4% | Freemium | Provides deep interactive training for data science and programming, but omits foundational math and general science topics. | [.md](https://openaitools.app/tool/datacamp-com.md) |
| 4 | [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) |
| 5 | [Up Learn](https://openaitools.app/tool/uplearn-co-uk) | 1,346,342 | +49.9% | Free Trial, Paid | AI-powered A Level and GCSE courses with a top-grades-or-refund guarantee | [.md](https://openaitools.app/tool/uplearn-co-uk.md) |
| 6 | [LabEx.io](https://openaitools.app/tool/labex-io) | 1,127,110 | -9.3% | Freemium | Learn Linux, DevOps, and cybersecurity by doing — inside real online labs. | [.md](https://openaitools.app/tool/labex-io.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Gauth](https://openaitools.app/tool/gauth) | 619,147 | +180.7% | Free Trial | Excels at step-by-step homework solving and AI tutoring, but provides less structured visual concept-building courses. | [.md](https://openaitools.app/tool/gauth.md) |
| 10 | [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) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
