Building Production APIs with Python and FastAPI

Starting a new backend project requires choosing the right framework and architectural patterns for speed and scalability. FastAPI offers a perfect blend of performance and developer experience for modern Python APIs. By the end of this course, you will have the practical skills to design, build, and structure complex API endpoints, manage data integrity using asynchronous databases, and prepare your application for deployment. What you'll learn: * Understand the core concepts of RESTful design and how to implement routes, path parameters, and request bodies in FastAPI. * Configure asynchronous data persistence using SQLAlchemy and manage schema changes with database migrations. * Implement dependency injection for secure authentication, robust error handling, and structured data access layers (repositories). * Apply Python type hints and Pydantic models effectively to enforce data validation and improve code safety throughout the application. * Practice writing unit and integration tests for API endpoints and business logic to ensure code quality and maintainability. * Implement solutions for transaction management, pagination, and data integrity to handle complex business requirements. The course begins with foundational Python API concepts and progresses through setting up a complete project environment. We then focus on structuring the application layers, integrating the database, and implementing core business logic, concluding with essential testing practices. This course is designed for beginner and intermediate Python developers ready to transition into backend API development. No prior experience with FastAPI or asynchronous programming is required. Start building fast, reliable Python APIs today.