B
What is Brilliant?
Brilliant is an interactive learning platform for math, science, and computer science, with a course library that includes an AI-relevant track — Introduction to Neural Networks — alongside probability, logic, and programming fundamentals that underpin machine learning. Its problem-first, visual teaching style is aimed at building intuition rather than watching lecture videos.
Key features
- Interactive, click-and-solve lessons instead of passive video lectures
- Introduction to Neural Networks course covering the fundamentals of how they work
- Supporting math courses (linear algebra, probability, calculus) that underpin ML
- Daily challenge problems to build a learning habit
- Progress tracking and mastery-based lesson sequencing
- iOS/Android apps for learning on the go
How to get started
- Create a free account at brilliant.org
- Start with the Introduction to Neural Networks course, or a math prerequisite if needed
- Work through interactive problems rather than watching lecture videos
- Subscribe for full access to the course library beyond the free introductory lessons
- Use the daily challenge to keep building intuition over time
Use cases
- Building visual intuition for how neural networks work before diving into code
- Filling in math prerequisites (linear algebra, probability) for ML
- Learning CS fundamentals through interactive problems instead of lectures
- Daily habit-building study for STEM and AI topics
- Supplementing a more technical ML course with conceptual grounding
Brilliant vs. alternatives
| Tool | How it compares |
|---|---|
| Brilliant | Interactive, problem-first courses covering AI, neural networks, math, and CS fundamentals. |
| Elements of AI | broader, non-technical AI overview instead |
| DeepLearning.AI | code-first, hands-on deep learning courses |
| Kaggle | practice on real datasets instead of guided lessons |
FAQ
Is Brilliant free to use?
Brilliant's plans: Free introductory lessons; paid subscription for full course access. Pricing and free-tier limits change over time, so check the official site above for the latest details.
What is Brilliant used for?
Interactive, problem-first courses covering AI, neural networks, math, and CS fundamentals.
Who is Brilliant best for?
Brilliant is a good fit for building visual intuition for how neural networks work before diving into code, or filling in math prerequisites (linear algebra, probability) for ML.
What are the alternatives to Brilliant?
Commonly compared alternatives include Elements of AI, DeepLearning.AI, and Kaggle, see the comparison above for how they differ.
Related tools
E
D
KLast reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools