Install Python and the FastAPI dependencies, create a virtual environment, then run the app with Uvicorn using the reload option for automatic updates.
Duration of the online course: 1 hours and 34 minutes
Build REST APIs with FastAPI and Python, from setup to PostgreSQL integration. Free course to practice GET/POST/PUT/DELETE, validation and status codes.
Learn to build modern backend services by creating real REST APIs with Python and FastAPI. This free online course guides you from the first concept of what an API is to the moment your application can persist data in a PostgreSQL database. Along the way, you will practice the essentials that backend developers use daily: designing endpoints, handling requests safely, validating input, returning clear responses, and testing everything with the right tools.
You start by setting up a productive development environment in Visual Studio Code and understanding what you need to run Python reliably. From there, you create a virtual environment so each project stays clean, repeatable, and easy to share. Once the FastAPI app is running, you see how a development server behaves, why hot reload speeds up iteration, and how routing works when multiple functions compete for the same path.
As you build your API, you will work with common HTTP methods and learn when to choose each one. You will create endpoints for reading, creating, updating, and deleting resources, while also learning the practical difference between GET and POST, and the purpose of PUT for updates. To make your API more professional, you will apply schema validation so your application can reject bad data early and consistently, reducing bugs and making behavior predictable for clients.
Testing becomes second nature as you use Postman to send requests and inspect responses. You will interpret HTTP response status codes to communicate outcomes clearly, including what it means when a response intentionally has no content. Finally, you will connect your API to PostgreSQL and manage the database using pgAdmin. With database operations and proper commits, your data survives server restarts and your API moves closer to production-ready behavior.
By the end, you will have the confidence to spin up a FastAPI project from scratch, structure endpoints sensibly, and connect persistent storage, giving you a strong foundation for backend development, portfolio projects, and further learning in Python web services.
Explore free online PostgreSQL courses designed to help beginners and developers master databases, SQL queries, data modeling, administration, performance tuning, and security. Learn PostgreSQL at your own pace with practical lessons, flexible study options, and an included certificate to showcase your skills and advance your database career.
Explore the best free online Postman courses and learn API testing, development, automation, collections, environments, and REST workflows at your own pace. Build practical skills with beginner-friendly lessons and hands-on projects, then earn a certificate to showcase your Postman expertise and advance your software career.
Explore the best free FastAPI online courses and learn to build fast, modern Python APIs from beginner to advanced level. Master routing, validation, authentication, databases, testing, and deployment through practical lessons. Enroll today, study at your own pace, and earn a certificate to showcase your FastAPI development skills.
Explore free online Python courses and build in-demand programming skills at your own pace. Learn Python basics, data analysis, automation, web development, and more through flexible beginner-friendly lessons. Enroll today, study from anywhere, and earn a free certificate to showcase your Python skills and boost your career.
1 hours and 34 minutes of online video course
Digital certificate of course completion (Free)
Exercises to train your knowledge
100% free, from content to certificate
How do I create and run a FastAPI project in Visual Studio Code?
Install Python and the FastAPI dependencies, create a virtual environment, then run the app with Uvicorn using the reload option for automatic updates.
What is the difference between GET, POST, PUT, and DELETE requests in FastAPI?
GET retrieves data, POST creates data, PUT updates existing data, and DELETE removes data through API endpoints.
How does FastAPI connect to PostgreSQL and prevent data loss after a server restart?
FastAPI connects to PostgreSQL to store application data persistently, so records remain available after the server restarts.
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Course comments: Python Fast API
Anishkumar
good easy to practice
Ishwar Talokar
Awesome contents.