Module 7 - ML Ops with H2O.ai
Model operations is a critical component in creating value from machine learning models. After all, models are just experiments until they are deployed and used in business applications, to generate insights, or to make decisions. In this course, you will see how to use Model Ops to deploy, manage, and govern models in production environments.
- Describe how operators on the IT team can work together with data scientists to deploy models in production
- Determine how to monitor models running in production and what to look for
- Identify when to retrain models and how to put new versions of models into production without interrupting downstream services
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