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Free Download FastAPI Complete Course JWT, SQLModel, Celery & Deployment
Published 11/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.76 GB | Duration: 14h 6m
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 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 structureWeb server basics: path & query parameters, request bodies, headersRunning FastAPI CLI, choosing HTTP clients, and server managementCRUD REST API development with response models, validation, and exception handlingOrganizing API paths with routers for scalable architectureDatabases with SQLModel: async setup, connection management, table creation, CRUD operationsDependency injection for service classes and path handlersUser authentication models, database migrations with AlembicUser account creation: email, password, and secure endpointsJWT authentication: access & refresh tokens, HTTP Bearer Auth, token renewal, and revocationRole-Based Access Control (RBAC) and managing user rolesAdvanced model and schema relationships (one-to-many, multiple relationships)Error handling, custom API exceptions, and registering exception handlersMiddleware: custom logging, ASGI middleware, CORS configuration, trusted hostsEmail integration: FastAPI-Mail setup, sending emails, user account verificationPassword reset flows and secure handlingBackground tasks with FastAPI and Celery + RedisCelery monitoring using FlowerAPI documentation with SwaggerUI and RedocAPI testing with Pytest, Unittest Mock, and SchemathesisDeployment to production with PostgreSQL, Celery, Redis, and cloud platformsAll 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.
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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