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AI Interview MasteryIntermediate → SeniorNEW
FastAPI for AI Engineers
FastAPI questions and answers for serving AI/ML applications. Async patterns, Pydantic v2 validation, SSE streaming, dependency injection, background tasks, and production deployment — the backend stack for AI engineers.
4.8rating2,140 students1h 10m total12 lessons
What you'll learn
Explain async/await in the context of FastAPI and why it matters for AI APIs
Define request and response models with Pydantic v2
Implement SSE streaming for token-by-token LLM responses
Use dependency injection for auth, rate limiting, and DB sessions
Add background tasks for async processing
Deploy a FastAPI app to Azure Container Apps with health checks
Final Project
Build and deploy a minimal FastAPI backend that streams LLM responses via SSE and exposes a /health endpoint
Curriculum
12 lessons · 1h 10mCourse Info
Lessons12 lessons
Total time1h 10m
LevelIntermediate → Senior
Students2,140
Rating4.8 / 5.0