Summary

In this chapter, you learned about the features and capabilities of Azure ML and AutoML. You learned about the data and compute services and components that are used to support Azure ML, such as compute clusters, models, workspaces, and storage accounts.

You also learned about the model management and deployment capabilities of Azure ML, as well as the concepts surrounding MLOps.

Finally, you learned how to deploy Azure ML models, train them with sample data, and then test against them.

In the next chapter, you’ll begin exploring computer vision solutions.