FastAPI Complete Course: JWT, SQLModel, Celery & Deployment (Udemy.com)

Learn how to build, secure, test, and deploy FastAPI applications from scratch! FastAPI is one of the fastest-growing Python frameworks for building high-performance APIs, and mastering it will take your backend development skills to the next level.

This course is designed for beginners and experienced developers alike. Whether you have some experience with Python and APIs or are starting from zero, I will guide you step by step through every concept, making complex topics easy to understand and immediately applicable. Every lecture is hands-on, ensuring you learn by doing, and focuses on creating production-ready, secure, and scalable applications.

You will start with project setup and web server fundamentals, learning how to handle path and query parameters, request bodies, headers, and run your FastAPI server efficiently. You’ll organize your API using FastAPI routers and modular project structure for maintainability.

Dive into databases using SQLModel, including asynchronous CRUD operations, dependency injection, database connection management with lifespan events, and advanced model and schema relationships. You’ll also learn database migrations using Alembic to manage production-ready databases.

Security is a core focus of this course. You will implement JWT authentication with access and refresh tokens, protect endpoints with HTTP Bearer Auth, handle token revocation using Redis, and apply role-based access control (RBAC) to manage user permissions efficiently. Additionally, you’ll build full user account functionality including email verification, password resets, and secure account creation.

Learn how to implement background tasks and asynchronous processing using FastAPI Background Tasks and Celery with Redis, along with monitoring Celery tasks using Flower. Build professional middleware, custom logging, and configure CORS and trusted hosts for robust applications.

You will also master API documentation with SwaggerUI and Redoc, ensuring your APIs are well-documented and developer-friendly. Testing is a key component: gain hands-on experience with unit and integration tests using Pytest, Unittest Mock, and document-driven testing with Schemathesis.

Finally, you’ll deploy your FastAPI application to production environments with PostgreSQL, Celery, Redis, and cloud platforms, creating a fully deployable, real-world application ready for users.

By the end of this course, you will have mastered the complete FastAPI workflow, from project setup to advanced authentication, database management, background processing, testing, and production deployment. These skills are in high demand and can help you advance your career, secure freelance projects, or build your own production-ready applications.

Topics and practical features covered in this course include:

• FastAPI project setup and modular structure

• Web server basics: path & query parameters, request bodies, headers

• Running FastAPI CLI, choosing HTTP clients, and server management

• CRUD REST API development with response models, validation, and exception handling

• Organizing API paths with routers for scalable architecture

• Databases with SQLModel: async setup, connection management, table creation, CRUD operations

• Dependency injection for service classes and path handlers

• User authentication models, database migrations with Alembic

• User account creation: email, password, and secure endpoints

• JWT authentication: access & refresh tokens, HTTP Bearer Auth, token renewal, and revocation

• Role-Based Access Control (RBAC) and managing user roles

• Advanced model and schema relationships (one-to-many, multiple relationships)

• Error handling, custom API exceptions, and registering exception handlers

• Middleware: custom logging, ASGI middleware, CORS configuration, trusted hosts

• Email integration: FastAPI-Mail setup, sending emails, user account verification

• Password reset flows and secure handling

• Background tasks with FastAPI and Celery + Redis

• Celery monitoring using Flower

• API documentation with SwaggerUI and Redoc

• API testing with Pytest, Unittest Mock, and Schemathesis

• Deployment to production with PostgreSQL, Celery, Redis, and cloud platforms

All lectures are hands-on with full source code, and each topic is demonstrated step by step, ensuring you learn by building real-world applications. This course provides everything you need to become a confident, professional FastAPI developer.