本课程旨在教授学员使用 FastAPI 框架,结合 Clean Architecture(整洁架构)理念,构建可扩展的生产级 REST API。课程内容涵盖 FastAPI 核心特性、SQLAlchemy 与 PostgreSQL 数据库集成、Alembic 数据迁移、JWT 身份验证以及 Docker 容器化部署。学员将学习如何超越简单的 CRUD 操作,掌握项目结构设计、请求验证、错误处理等最佳实践,并利用 FastAPI 自动生成的 Swagger 文档进行调试。课程适合具备 Python 和后端基础的学习者,目标是帮助大家构建安全、可维护且易于部署的现代后端系统。

制作人:Richard Dewan
MP4格式 | 视频:h264,1920×1080 |语言:英语 | 时长:30节课(5小时51分钟) | 文件大小:5.2 GB

FastAPI with Python: Build REST API Using Clean Architecture
Build scalable REST APIs with FastAPI, Python, JWT auth, SQLAlchemy, PostgreSQL & Docker using Clean Architecture

What you’ll learn
✓ Fast API
✓ SQLAlchemy
✓ Alembic
✓ Docker

Requirements
● Basic Of Python and Backend Development

Description
Are you ready to build production-ready REST APIs using FastAPI and Python?

In this course, you will learn how to design, develop, and deploy scalable backend applications using FastAPI, one of the fastest-growing Python frameworks for modern web development. We won’t just build simple CRUD apps — you’ll learn how to structure real-world projects using Clean Architecture and industry best practices.

FastAPI combines high performance, automatic documentation, and modern Python features like type hints to help you build robust APIs quickly and efficiently. By the end of this course, you’ll be able to confidently design and implement secure, maintainable backend systems.

What You’ll Learn

• Build RESTful APIs with FastAPI

• Apply Clean Architecture principles to real-world projects

• Work with SQLAlchemy and PostgreSQL

• Handle request validation and error management

• Structure scalable and maintainable backend applications

• Use Docker to containerize your FastAPI app

• Generate automatic API documentation with Swagger & OpenAPI

• Follow best practices for production deployment

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