Mastering REST APIs with FastAPI

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Community

Lecture 2: Instructions – Join the Community

Lecture 3: Welcome to this course!

Lecture 4: Platform features and note-taking

Lecture 5: You can do it!

Lecture 6: What is an API?

Lecture 7: What is REST?

Chapter 2: Working with FastAPI

Lecture 1: Introduction to this section

Lecture 2: Your First FastAPI App

Lecture 3: Initial App Setup

Lecture 4: Linting, formatting and sorting imports

Lecture 5: Our social media API: adding posts

Lecture 6: Splitting our API into files with APIRouter

Lecture 7: Adding comments to the social medical API

Chapter 3: Introduction to pytest

Lecture 1: Introduction to the pytest section

Lecture 2: The basics of pytest

Lecture 3: Getting started with FastAPI tests

Lecture 4: Creating posts in our tests

Lecture 5: Adding tests for posts

Lecture 6: Adding comments tests

Chapter 4: Working with async databases

Lecture 1: Introduction to working with databases

Lecture 2: Installing requirements for async databases in FastAPI

Lecture 3: Creating a config file using Pydantic

Lecture 4: Different configurations per environment in

Lecture 5: Config caching and how to get the config object

Lecture 6: Async database setup with FastAPI

Lecture 7: Database connection with lifespan events in FastAPI

Lecture 8: Run your FastAPI test in 'test' mode

Lecture 9: Using a database in our FastAPI router

Chapter 5: Logging in FastAPI applications

Lecture 1: Introduction to logging

Lecture 2: Python logging: loggers, handlers, and formatters

Lecture 3: Logger hierarchies and __name__

Lecture 4: Adding Logging Configuration for FastAPI Applications

Lecture 5: How to configure multiple loggers in the logging module

Lecture 6: Adding File Handlers for Saving Logs

Lecture 7: Add logging to your FastAPI endpoints

Lecture 8: Python logging: filters and custom filters

Lecture 9: Logging HTTPExceptions with an Exception Handler

Lecture 10: Identifying logs from the same request: Correlation ID

Lecture 11: Adding JSON-formatted log files

Lecture 12: Obfuscating email addresses in logs using a custom filter

Lecture 13: Adding Logtail for Cloud Logging in FastAPI

Lecture 14: Enabling Logtail in only in production

Chapter 6: User authentication with FastAPI

Lecture 1: Introduction to user authentication

Lecture 2: Installing requirements and, what are JWTs?

Lecture 3: Adding a users table and retrieving users by email

Lecture 4: Adding user registration and tests

Lecture 5: Adding tests for the user registration endpoint

Lecture 6: How to hash passwords with passlib

Lecture 7: Generate the access token

Lecture 8: Retrieve the current user with their token

Lecture 9: Use the current user in the API router

Lecture 10: Dependency injection: getting the user

Lecture 11: Adding user relationships to other tables

Lecture 12: (Optional) OAuth Password Bearer and Swagger Auth

Chapter 7: Many-to-many relationships

Lecture 1: Introduction to many-to many

Lecture 2: Adding a table for post likes

Lecture 3: Adding an API route to like posts

Lecture 4: Extracting reusable queries with SQLAlchemy

Lecture 5: Query string arguments and data sorting with Enum

Chapter 8: User email confirmation

Lecture 1: Creating the confirmation token

Lecture 2: Decoding the confirmation token

Lecture 3: Adding a user confirmation endpoint

Lecture 4: Requiring user confirmation for authenticated requests

Lecture 5: Mailgun set-up and configuration

Lecture 6: Sending emails and testing with Python

Lecture 7: Sending a confirmation email on registration

Lecture 8: Sending emails with background tasks

Chapter 9: File Uploads with FastAPI

Lecture 1: Account setup for Backblaze B2

Lecture 2: Our configuration for Backblaze B2

Lecture 3: Internal library for Backblaze B2

Lecture 4: Writing our file upload endpoint

Lecture 5: Writing tests for file upload

Chapter 10: Background Tasks for Image Generation

Lecture 1: Model and database changes for image generation

Lecture 2: Configuration for DeepAI, our third party service

Lecture 3: Generating images using background tasks

Lecture 4: Executing image generation in our FastAPI endpoint

Chapter 11: FastAPI Deployments and Application Management

Lecture 1: Updating our project to Pydantic v2

Lecture 2: Deploy a FastAPI app to Render

Lecture 3: Add a free PostgreSQL database to your FastAPI app

Lecture 4: Error management with Sentry for FastAPI apps

Lecture 5: Continuous Integration with GitHub Actions for Python apps