
Learn to build a fast api in five minutes by creating a small app, installing fast api and unicorn, and running it locally on port 8000.
Learn to build dynamic endpoints using path and query parameters in FastAPI, including type validation, dynamic item IDs, and optional queries with skip and limit.
Define an item model with Pydantic and post it to a FastAPI endpoint to validate input data, returning a created item and handling validation errors.
Learn how to clean up FastAPI responses by using a dedicated Pydantic based response model to hide passwords and return only name, price, and is_offer.
Connect a FastAPI app to a local SQLite database using SQLModel, define a model, set up an engine and tables, and expose post and get endpoints with Swagger UI.
Connect a FastAPI app to an online PostgreSQL database using Supabase, define a SQLModel item model, create an engine and session, and expose post and get endpoints to manage items.
Connect your FastAPI app to an online MySQL database by configuring a MySQL URI, installing FastAPI and MySQL drivers, and building create and get endpoints that persist items.
Build a user authentication system with FastAPI, implementing login and signup, password hashing with bcrypt, and database integration using SQLAlchemy and databases.
implement a middleware in FastAPI that acts as a pre-check, logs each request time, measures processing time, and prints the request method and URL before returning the response.
Build a complete CRUD API in fastapi using sqlalchemy, featuring post, get, update, and delete endpoints, pydantic models, and swagger docs for testing.
Learn to render Jinja templates in FastAPI and handle form submissions with a post request, using username and frequency for a looping result.
Learn to manage secrets in FastAPI using dot env files and pydantic settings to load database URL and secret key, exposing them via a simple configuration class.
Learn to handle and build customized exceptions in fastapi, including http exceptions and a not found handler, returning json responses with 400 and 404 status codes.
Learn to handle image submissions in fastapi via an html form with multipart/form-data, store in static/uploads, and display results with html templates.
FastAPI is one of the fastest-growing Python frameworks for building modern, high-performance APIs. If you want to create production-ready REST APIs using Python with clean code and automatic documentation, this course is for you.
In this beginner-friendly course, you’ll learn FastAPI from scratch, even if you have never built an API before. We’ll start with the fundamentals and gradually move toward building real-world, scalable APIs.
What you’ll learn
Understand what FastAPI is and why it’s faster than traditional frameworks
Set up FastAPI with Python and virtual environments
Create REST APIs using GET, POST, PUT, and DELETE
Use Pydantic models for request validation and response schemas
Work with path parameters, query parameters, and request bodies
Implement CRUD operations
Build asynchronous APIs using async and await
Add authentication and authorization
Handle errors and validations properly
Auto-generate API documentation using Swagger UI & ReDoc
Structure FastAPI projects using best practices
Build a real-world API project step by step
Who this course is for
Beginners who want to learn API development with Python
Python developers looking to upgrade to FastAPI
Backend developers exploring modern frameworks
Students preparing for backend or full-stack roles
Requirements
Basic understanding of Python
No prior API or FastAPI experience required
By the end of this course, you’ll have the confidence to build, test, and deploy modern APIs using FastAPI, and you’ll be ready to use it in real projects or professional environments.
Start building fast, scalable, and modern APIs with Python today!