FastAPI Backend Development
Learn to build modern, high-performance APIs with FastAPI. Covers routing, Pydantic validation, dependency injection, async endpoints, authentication, and testing. Ideal for Python developers familiar with basics who want to create production-ready web services. Outcome: design and deploy robust, documented APIs with confidence.
Lesson outline
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37
OpenAPI Customizations & Tags
Learn to customize the OpenAPI schema in FastAPI: group endpoints with tags, add metadata, and improve API documentation.
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38
Containerizing FastAPI
Learn how to containerize a FastAPI app for production — from writing an efficient Dockerfile to build, run, and troubleshoot common pitfalls.
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39
FastAPI Health Checks
Adding Health Checks and Readiness Probes — FastAPI Backend Development.
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40
Deploy FastAPI with Docker and Nginx
Learn how to containerize FastAPI with Docker and set up Nginx as a reverse proxy for production. This lesson covers Dockerfile setup, docker-compose for Nginx and API services, and practical troubleshooting for smooth deployment.
FastAPI Backend Development — step-by-step tutorials
What you will find here
This track walks through fastapi backend development in order — each lesson is server-rendered HTML you can read without JavaScript. Follow the outline, then practice in the browser IDE when a lesson links to runnable code.
Tutorials vs quizzes and code samples
Tutorials teach in sequence. For quick checks use quizzes. For copy-paste snippets see code samples. For deeper reading browse articles.