In this module, we will walk you through setting up your development environment and getting your first FastAPI project up and running. You’ll learn how to install FastAPI, create a basic API endpoint, and interact with the built-in interactive documentation. By the end, you’ll have your development tools ready to build real applications.

In this module, we will dive deeper into route handling using path parameters and decorators. You'll learn how to create dynamic routes, use type hints, and understand route ordering in FastAPI. You'll also take your first steps into backend data storage by connecting a simple database.

In this module, we will expand your API capabilities by introducing query parameters. You'll learn how to filter data, manage HTTP exceptions, and receive data through POST requests and request bodies. This section teaches you how to build more flexible and powerful endpoints in FastAPI.

In this module, we will implement full backend functionality using CRUD operations. You'll explore how to update resources using PUT and PATCH, and safely delete records using the DELETE method. These operations are the backbone of any RESTful API.

In this module, we will harness the full potential of Pydantic models in FastAPI. You’ll define input and output models, enforce validation rules, and explore advanced features like Enums and response schemas. By the end, your APIs will be more reliable, secure, and developer-friendly.

In this module, we will connect FastAPI with a SQL database, starting with SQLite. You'll learn how to insert, retrieve, and update data, while understanding key database concepts like primary keys and query parameters. This forms the backbone for building data-driven applications.

In this module, we will explore SQLModel, a hybrid ORM and data modeling tool designed for FastAPI. You’ll learn how to define models, manage connections, and structure your application with dependency injection. SQLModel helps bridge the gap between your database and your API.

In this module, we will introduce asynchronous programming with Python’s asyncio and its application in FastAPI. You'll learn to write async functions, handle multiple tasks concurrently, and improve API responsiveness. This section is key to building scalable and high-performance backends.

In this module, we will transition from SQLite to PostgreSQL for production-ready database handling. You’ll learn how to manage configurations, implement asynchronous sessions, and structure your application for maintainability. This section prepares you for real-world backend deployment.