Diagramwise

System Design & AI/ML Problems

Practice infrastructure, application, AI/ML, and MLOps architecture problems with clear requirements, interactive diagrams, and feedback on the decisions behind your design.

Open the design studioBuild fundamentals first

What are Diagramwise practice problems?

Practice problems are realistic system design and AI/ML architecture challenges. Each one lists requirements and scale assumptions, then lets you build the architecture on an interactive canvas and get feedback on the decisions behind your design.

Choose the architecture skills you want to test

Frequently asked questions

What kinds of system design problems are available?

Problems cover distributed systems, infrastructure such as caching, queues and search, product applications such as URL shorteners and ride sharing, and AI and ML systems including RAG, inference, and MLOps.

How should I choose a system design problem?

Pick one narrow prompt that isolates the skill you want to improve, such as caching or consistency, rather than jumping between unrelated problems.

What does each problem include?

Each problem has an interview prompt, functional and non-functional requirements, scale assumptions, key entities, a data flow, and deep dives on trade-offs.