What You'll Learn

15 Chapters · 15 Lessons

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      From Zero to an API Using Prompts

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      Setting up by Asking the Right Questions

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      Generating Your First Real API

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      Understanding Code through Better Prompts

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      Structuring an API Project with AI Guidance

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      Handling Concurrency and Real-Time Workflows

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      Building Data-Driven APIs

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      Securing an API System

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      Testing and Deploying an API

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      Debugging and Optimizing with AI

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      Designing Production-Ready Systems

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      Learning New Technologies with AI Prompts

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      Appendix: From API Core to Real Applications

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      Index

About the Course

FastAPI is one of the fastest-growing Python frameworks for building high-performance APIs — and the developers who know how to direct AI with precision are the ones building and shipping production-grade FastAPI applications faster than anyone else. Prompting FastAPI for Backend Development shows you how to translate natural-language intent directly into production-ready FastAPI code using ChatGPT, GitHub Copilot, and Amazon Q Developer at every stage of development. Rather than teaching FastAPI from scratch, this book puts AI-assisted execution at the centre. You use prompt engineering techniques to generate endpoints, handle async concurrency, build data-driven APIs, implement authentication and security, write test cases, and automate deployment workflows. Every chapter pairs practical FastAPI engineering with guided AI prompts and real-world human versus AI code comparisons that sharpen your judgment about when and how to use AI effectively. By the end of the book, you will use AI prompts as a core part of your FastAPI development workflow, shipping scalable, production-ready backend APIs with greater speed, clarity, and engineering confidence than traditional development approaches allow.

About the Author

Fabio Nelli holds a Master's degree in Chemistry and a Bachelor's degree in IT and Automation Engineering. He works with research institutes and private companies, delivering educational courses on data analysis and data visualization technologies.