Summary
In this chapter, we have learned the key principles of testing and security by design. We explored the various methods to test ML solutions in order to secure them. For a comprehensive understanding and hands-on experience, implementation was done to load test our previously deployed ML model (from Chapter 7, Building Robust CI and CD Pipelines) to predict the weather. With this, you are ready to handle the diverse testing and security scenarios that will be channeled your way.
In the next chapter, we will delve into the secrets of deploying and maintaining robust ML services in production. This will enable you to deploy robust ML solutions in production. Let's delve into it.
