FastAPI Mastery: Build Production-Ready APIs with Python

Module 1: FastAPI Fundamentals

• FastAPI installation and first API creation
• Path operations (GET, POST, PUT, DELETE)
• Automatic Swagger UI and ReDoc documentation

Module 2: Path and Query Parameters

• Path parameter definition and validation
• Query parameters with defaults and types
• Optional parameters and enum validation

Module 3: Request Body and Pydantic Models

• Pydantic models for request/response validation
• Nested models and custom validators
• Automatic data parsing and type conversion

Module 4: Response Models and HTTP Status

• Explicit response models for API consistency
• HTTP status codes and error responses
• JSON response customization

Module 5: Async Programming with FastAPI

• Async/await syntax in FastAPI
• Background tasks and lifespan events
• Performance comparison with sync frameworks

Module 6: Database Integration with SQLModel/SQLAlchemy

• SQLModel setup and async database sessions
• CRUD operations with relationships
• Database migrations with Alembic

Module 7: Dependency Injection

• Dependencies for reusable logic
• Database sessions as dependencies
• Hierarchical dependencies and overriding

Module 8: Authentication and Authorization

• JWT token generation and validation
• HTTP Bearer authentication
• Role-based access control (RBAC)

Module 9: API Security Features

• Password hashing with passlib
• Rate limiting and CORS middleware
• Refresh tokens and token revocation

Module 10: Advanced Routing and Routers

• APIRouters for modular applications
• Sub-applications and mounting routers
• Namespace organization

Module 11: Error Handling and Middleware

• Custom HTTP exceptions and handlers
• Custom middleware creation
• Global exception handlers

Module 12: Testing FastAPI Applications

• Unit testing with pytest and TestClient
• Mocking dependencies and databases
• Document-driven testing with Schemathesis

Module 13: Background Tasks and Celery

• FastAPI BackgroundTasks for simple jobs
• Celery with Redis for complex tasks
• Flower monitoring dashboard

Module 14: Production Deployment

• Uvicorn + Gunicorn production setup
• Docker containerization
• Deployment to Render, Heroku, AWS

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