Problem Collections
Pick a study plan to see its 54 collections
Fundamentals
The math, Python, and tensor-library base everything else relies on.
AI Domains
Go deep in a specialization, from classical ML through vision, language, and agents.
Deep Learning
Neural networks and architectures
2 collections27 problems
Browse collectionsComputer Vision
Image processing to 3D reconstruction
19 collections297 problems
Browse collectionsMachine Learning
Supervised learning to clustering
4 collections75 problems
Browse collectionsNLP
Text classification and sequence models
3 collections50 problems
Browse collectionsLLMs
Attention, training, and alignment
3 collections50 problems
Browse collectionsVision-Language Models
Models that read images and text
1 collection50 problems
Browse collectionsDiffusion Models
Denoising, samplers, and guidance
1 collection50 problems
Browse collectionsReinforcement Learning
MDPs, TD learning, policy gradients
1 collection50 problems
Browse collectionsAI Agents
Tool use, memory, and planning loops
1 collection50 problems
Browse collectionsML Systems & Infrastructure
Serving, orchestration, and cost
1 collection50 problems
Browse collectionsInterview Prep
Data structures and algorithms for AI and software engineering interviews.