Introduction to FastAPI Web Development with Python

This course introduces backend developers to building high-performance RESTful APIs using FastAPI and Python, covering data modelling, authentication, testing, and deployment.

• FastAPI fundamentals: project setup, path operations, request/response lifecycle, and status codes
• Python typing and Pydantic models for validation and serialization
• Routing, dependency injection, and background tasks
• Database integration with SQLModel/SQLAlchemy and asynchronous sessions
• Middleware, CORS, static files, and form handling
• Authentication and authorization using OAuth2, JWT, and role-based access control
• Automatic API documentation with OpenAPI, Swagger UI, and ReDoc
• API testing with pytest and HTTPX
• Performance considerations: asyncio, concurrency, caching, and profiling
• Configuration and environment management
• Deployment with Uvicorn/Gunicorn and Docker
• Comparison with Flask and Django REST Framework

At the end of the training, learners will be able to:

• Build and run a FastAPI application exposing RESTful endpoints
• Define validated request and response models using Pydantic
• Implement asynchronous CRUD operations with a relational database
• Secure APIs using OAuth2 and JWT-based authentication
• Write automated tests for API endpoints
• Generate and maintain API documentation using OpenAPI tools
• Deploy a FastAPI application using Uvicorn and Docker

This course follows a problem-solving and hands-on learning approach. Participants engage in guided coding exercises, real-world API development scenarios, and interactive discussions to reinforce concepts. Instructor-led explanations are combined with practical labs to support incremental skill development in backend API design and deployment.