Recorded session
Hands-on FastAPI and Backend for MLOps
· 3 h 50 min
With Mohamed Samy, AI Engineer & Data Scientist
- FastAPI
- Python
- Model serving
- Language
- Arabic & English
Recording
About this session
A practical, code-heavy session on the backend skills every AI/ML engineer needs, from HTTP and API fundamentals to serving LLMs in production with FastAPI and vLLM: Pydantic validation for model inputs and outputs, FastAPI project structure with SQLAlchemy, dependency injection, async and concurrency, and rate limiting, middleware, auth and error handling.
Why attend
Learn how to build a backend service for your AI project.
What you'll learn
- Backend basics and how APIs work.
- HTTP methods.
- Databases and ORM with FastAPI.
- Streaming responses with WebSocket and SSE.
- Authentication, authorization and rate limiting.
Requirements
- Basic Python.
- Basic command-line skills.
- Basic database knowledge.
