Master FastAPI: Build REST APIs with JWT, Async SQLModel, RBAC, Celery, Redis, Email, Testing & Production Deployment

What you'll learn
- Build FastAPI projects from scratch with modular structure and organized API routers for scalable applications.
- Handle path & query parameters, request bodies, headers, and run web servers efficiently.
- Develop CRUD REST APIs with validation, response models, exception handling, and async operations using SQLModel.
- Implement JWT authentication, refresh tokens, HTTP Bearer Auth, and token revocation using Redis.
- Create user accounts, enable email verification, password resets, and secure role-based access control (RBAC).
- Manage background tasks with FastAPI and Celery + Redis, including monitoring and async job handling.
- Document APIs professionally with SwaggerUI and Redoc, and perform unit & integration testing with Pytest, Mock, Schemathesis.
- Deploy production-ready FastAPI applications with PostgreSQL, Celery, Redis, and cloud platforms.

Requirements
- Basic Python knowledge (variables, functions, loops, lists, dicts).
- Familiarity with REST API concepts is helpful but not required.
- Willingness to learn databases, async operations, JWT auth, and FastAPI basics.

Description
Learn how tobuild, 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 forbeginners and experienced developers alike. Whether you have some experience with Python and APIs or are starting from zero, I will guide youstep by stepthrough every concept, making complex topics easy to understand and immediately applicable. Every lecture ishands-on, ensuring you learn by doing, and focuses on creatingproduction-ready, secure, and scalable applications.

You will start withproject setup and web server fundamentals, learning how to handlepath and query parameters, request bodies, headers, and run your FastAPI server efficiently. You'll organize your API usingFastAPI routersand modular project structure for maintainability.

Dive intodatabases using SQLModel, including asynchronous CRUD operations, dependency injection, database connection management with lifespan events, and advancedmodel 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 implementJWT authenticationwith access and refresh tokens, protect endpoints withHTTP Bearer Auth, handle token revocation usingRedis, and applyrole-based access control (RBAC)to manage user permissions efficiently. Additionally, you'll buildfull user account functionalityincluding email verification, password resets, and secure account creation.

Learn how to implementbackground tasksand asynchronous processing usingFastAPI Background Tasks and Celery with Redis, along with monitoring Celery tasks using Flower. Build professional middleware, custom logging, and configureCORS and trusted hostsfor robust applications.

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

Finally, you'll deploy your FastAPI application to production environments withPostgreSQL, 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 thecomplete FastAPI workflow, from project setup to advanced authentication, database management, background processing, testing, and production deployment. These skills are inhigh demandand 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 arehands-on with full source code, and each topic is demonstratedstep by step, ensuring youlearn by building real-world applications. This course provides everything you need to become aconfident, professional FastAPI developer.

Who this course is for:
- Backend developers wanting to master FastAPI and build production-ready APIs.
- Python programmers seeking advanced web development skills.
- Beginners with basic Python knowledge aiming to learn modern API frameworks.
- IT professionals looking to implement JWT authentication and RBAC.
- Developers interested in async databases with SQLModel and dependency injection.
- Anyone wanting to handle background tasks with Celery and Redis.
- Programmers wanting to test APIs using Pytest, Unittest Mock, and Schemathesis.
- Developers who want to deploy secure, scalable FastAPI applications to production.
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