
Look back at our fast API journey, recap environment setup and a hello world app, and set the base camp for future mastery.
Explore crafting dynamic urls in FastAPI by building a simple product browser with an in-memory database, using query parameters for offset and range, and setting default values for optional parameters.
Master optional query parameters in FastAPI by combining path and query parameters, using examples like book id and optional q to filter results and build dynamic endpoints.
Explore integrating path, query, and body parameters in a single FastAPI endpoint, updating a space probe record and validating fuel status via Swagger UI.
Explore the basics of FastAPI, focusing on various parameter types and how query and request body parameters define how a web app receives and processes data.
Explore string validations in fast api by enforcing alphanumeric usernames 5 to 10 characters using pydantic models and regex. See how input validation and error handling safeguard the api.
Learn to model and handle nested data in fast api by building a family tree with person and family models, including parents and children.
Configure clear path operations in FastAPI by building a trips API with get listing and post booking, using tags, summaries, and descriptions for well documented endpoints.
Learn how FastAPI uses JSON encoders to update user home design preferences by translating color schemes and materials into a JSON-compatible payload and persisting in a mock database.
Practice implementing advanced error handling in a FastAPI booking system with custom exception handlers, input validation, and clear messages for invalid ids and duplicate bookings.
Practice error handling and json encoding in FastAPI by modeling complex data with Pydantic and using a json encoder to return json compatible spacecraft details.
Build custom error handling in a FastAPI travel and ticket booking API for World Cup matches by defining custom exceptions and handlers for sold-out games, invalid bookings, and system errors.
Master class based dependencies in fast api by building a user authenticator with a mock database, validating credentials via a login endpoint, and orchestrating modular sub dependencies for scalable authentication.
learn to secure a fastapi app with oauth2 password flow, issuing bearer access tokens and protecting endpoints like /users/me, including token verification, 401 errors, and mock user storage.
Learn to secure a FastAPI app by generating and validating JWT tokens via the token endpoint, then access protected user data through the /users/me endpoint using authenticated requests.
Learn to structure a growing FastAPI app with routers, modularizing into book and user modules, wiring them in main.py, and exposing get books and add book endpoints.
Apply FastAPI and database integration to build a database-driven API endpoint with PostgreSQL, SQLAlchemy, and Pydantic validation, including CRUD operations and proper responses.
Explore middleware interface API and how basic middleware handles requests, responses, authentication, and data processing in FastAPI applications, with hands-on design exercises.
Implement middleware in a FastAPI app to log client IPs and request processing time, start-up events, and a test route, enabling security monitoring and performance insights.
Learn to handle multiple file uploads in FastAPI by validating file types, securely saving to temporary and permanent storage, and implementing robust error handling with http exceptions.
Welcome to the complete FastAPI mastery course. In this course we will discuss all aspects of FastAPI and related technologies, such as middleware implementation, seamless database integration, security and file handling, and a lot more.
This course is designed to take you from a complete novice in API development and show you everything you need to become an expert in designing and building REST APIs with FastAPI.
This course will guide you in creating simple, intermediate, and advanced REST APIs including authentication, deployments, databases, and much more.
After taking this course you'll be able to...
Create resource-based, production-ready REST APIs using Python and FastAPI
Handle secure user registration and authentication with FastAPI
Use database integration to manage data on the server side
Understand the complex intricacies of deployments of FastAPI REST APIs.
Handle security and authentication for a safe user experience
This course will take you step by step and show you line by line how to implement in code the concepts we discuss. We will build real world applications that show you how to build an API that is complete, efficient and safe.
I've spent years building full stack projects using python, and I've been using FastAPI since its first release in 2018. In this course I've put all my experience of more than 10 years in this field.
So sign up today and let's start learning FastAPI and full stack development.