Summary
In this chapter, we have learned the key principles of API design and microservice deployment in production. We touched upon the basics of API design methods and learned about FastAPI. For our business problem, we have learned by doing a practical implementation of developing an API service in the Hands-on implementation of serving an ML model as an API section using FastAPI and Docker. Using the practical knowledge gained in this chapter, you can design and develop robust API services to serve your ML models. Developing API services for ML models is a stepping stone to take ML models to production.
In the next chapter, we will delve into the concepts of testing and security. We will implement a testing method to test the robustness of an API service using Locust. Let's go!
