Summary
In this chapter, we learned about the key principles of continual learning in ML solutions. We learned about Explainable Monitoring (the governance component) by implementing hands-on error handling and configuring actions to alert developers of ML systems using email notifications. Lastly, we looked at ways to enable model retraining and how to maintain the CI/CD pipeline. With this, you have been equipped with the critical skills to automate and govern MLOps for your use cases.
Congratulations on finishing this book! The world of MLOps is constantly evolving for the better. You are now equipped to help your business thrive using MLOps. I hope you enjoyed reading and learning by completing the hands-on MLOps implementations. Go out there and be the change you wish to see. All the best with your MLOps endeavors!
