Learning Python FastAPI Complete Course - Build a Full-Stack Web App

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Python FastAPI Complete Course - Build a Full-Stack Web App
Published 5/2026
Created by Corey Schafer
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 19 Lectures ( 14h 22m ) | Size: 10.4 GB

Build, test, and deploy a full-stack FastAPI app with Pydantic, SQLAlchemy, PostgreSQL, JWT auth, and Docker.
What you'll learn
Build a complete full-stack web application with FastAPI, including a REST API, HTML frontend with Jinja2, and JavaScript-powered forms
Design robust APIs using Pydantic schemas, SQLAlchemy models, async routes, and well-organized modules with APIRouter
Implement secure authentication and authorization with JWT, password reset flows, file uploads with image processing, and pagination
Deploy production-ready apps using PostgreSQL, Alembic migrations, AWS S3, automated testing with Pytest, Nginx, SSL, and Docker
Requirements
Basic Python Programming (variables, functions, and classes)
Description
In this course, we'll be learning how to build a full-featured web application from the ground up using the FastAPI framework in Python. It covers everything from creating your first route all the way through deploying a production-ready application with a custom domain. We'll build both a JSON API for programmatic access and HTML pages that users can browse in the browser, so you'll come away knowing how to use FastAPI for either purpose.
Along the way, we'll set up a database with SQLAlchemy, write Pydantic models for request and response validation, and implement complete CRUD operations. We'll add user registration and login with secure password hashing and JWT authentication, protect routes by verifying the current user, and handle file uploads with image processing and validation. We'll convert our app to async, organize our code with routers, build out frontend forms that connect to the API with JavaScript, and add pagination, password reset flows with background email tasks, and database migrations with Alembic. Toward the end, we'll move from SQLite to PostgreSQL, move our file storage from local disk to AWS S3 with Boto3, write tests with Pytest, and finally deploy the application two different ways... first to a VPS with Nginx and SSL, and then with Docker to a serverless container platform.
Technologies covered
FastAPI
Pydantic
SQLAlchemy
Jinja2 templates
JavaScript (Fetch API)
JWT authentication
Pillow (image processing)
Background tasks with aiosmtplib
PostgreSQL
Alembic (database migrations)
AWS S3 / Boto3
Pytest
Nginx and Let's Encrypt SSL
Docker (serverless deployment)
Whether you're new to FastAPI or have used it for small projects and want to see how a real production application comes together, this course will give you a solid foundation.
Who this course is for
Python developers who want to learn how to build modern web applications and APIs with FastAPI, including beginners getting into web development for the first time and experienced developers looking to add FastAPI to their toolkit.
Homepage

https://www.udemy.com/course/python-fastapi-complete-course

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