Course Curriculum

17 Chapters · 17 Lessons

  1. 1

    Introduction

    1. (Included in full purchase)

      Introduction

  2. 2

    Chapter 1 : Introduction to FastAPI and RESTful APIs

    1. (Included in full purchase)

      Introduction to FastAPI and RESTful APIs

  3. 3

    Chapter 2 : Setting Up the Development Environment

    1. (Included in full purchase)

      Setting Up the Development Environment

  4. 4

    Chapter 3 : Installing FastAPI

    1. (Included in full purchase)

      Installing FastAPI

  5. 5

    Chapter 4 : Core Features of FastAPI

    1. (Included in full purchase)

      Core Features of FastAPI

  6. 6

    Chapter 5 : Dependency Injection

    1. (Included in full purchase)

      Dependency Injection

  7. 7

    Chapter 6 : Request and Response Models with Pydantic

    1. (Included in full purchase)

      Request and Response Models with Pydantic

  8. 8

    Chapter 7 : Authentication and Authorization

    1. (Included in full purchase)

      Authentication and Authorization

  9. 9

    Chapter 8 : File Uploading

    1. (Included in full purchase)

      File Uploading

  10. 10

    Chapter 9 : Connecting to Databases

    1. (Included in full purchase)

      Connecting to Databases

  11. 11

    Chapter 10 : Testing and Debugging

    1. (Included in full purchase)

      Testing and Debugging

  12. 12

    Chapter 11 : Deployment and Scalability

    1. (Included in full purchase)

      Deployment and Scalability

  13. 13

    Chapter 12 : Managing Application Configuration

    1. (Included in full purchase)

      Managing Application Configuration

  14. 14

    Chapter 13 : Building Practical Projects

    1. (Included in full purchase)

      Building Practical Projects

  15. 15

    Chapter 14 : Future of FastAPI

    1. (Included in full purchase)

      Future of FastAPI

  16. 16

    Chapter 15 : Appendices

    1. (Included in full purchase)

      Appendices

  17. 17

    Index

    1. (Included in full purchase)

      Index

About the Course

APIs are the backbone of today’s interconnected digital world, powering everything from mobile apps to enterprise systems. Building them to be fast, scalable, and secure is critical for modern software success. Building High-Performance Web APIs with FastAPI shows you how to achieve exactly that—using Python’s cutting-edge FastAPI framework. Starting with RESTful API fundamentals and FastAPI’s core principles, you will set up your development environment, install the framework, and explore its key features. You will progress through designing and validating data models with Pydantic, implementing authentication and authorization, handling file uploads, and integrating relational databases like SQLite, PostgreSQL, and MySQL. From there, you will master testing and debugging techniques, learn deployment strategies with Docker and Kubernetes, and scale your APIs with best practices for performance and security. Real-world projects and step-by-step examples make each concept easy to grasp and apply. Thus, by the end, you will have the skills and confidence to design, build, and deploy production-ready APIs that meet today’s performance and reliability standards. Hence, whether you are a developer, architect, or engineer, Building High-Performance Web APIs with FastAPI is your roadmap to mastering high-performance API development—start building the APIs your users deserve.

About the Author

Girish Vas is a multi-domain Python expert, AI engineer, and backend architect with over 12 years of professional experience in software development. His career spans several industries—including healthcare, finance, wellness tech, e-commerce, edtech, and social media—where he has built scalable APIs, intelligent automation systems, and production-grade machine learning Solutions. Starting with a passion for writing clean, maintainable Python code, Girish evolved into a full- fledged problem solver with hands-on experience in FastAPI, Django, SQLAlchemy, PostgreSQL, Redis, Docker, Kubernetes, and modern DevOps practices. His journey has included architecting real-world solutions such as DNA- based wellness applications, mental health bots, e-commerce platforms, RAG pipelines for knowledge retrieval, social media APIs, and trading dashboards—each with a strong focus on performance, security, and developer ergonomics.