GPU / AI

Distributed Systems for AI / Backend Infrastructure

Services, queues, caching, storage, consistency, reliability and observability.

4.8Advanced systemsIntermediate → Senior9 modules
Outcome

Learn the infrastructure concepts behind GPU, CUDA, AI serving and production backend systems.

Good for

Students moving toward GPU programming, AI infra, backend infra or systems design interviews.

Prerequisites

Comfortable C++ or Python basics, arrays, memory concepts and basic command-line workflow.

Curriculum

What you will study

Modules are shown like a course curriculum so you can scan the path before starting.

01Service boundaries
02Load balancing
03Rate limits
04Caching
05Queues and streams
06Storage and indexes
07Consistency
08Observability
09System design interviews