Summary

In this chapter, we have explored how to train a model with AutoML, a feature of Azure ML. We created the necessary artifacts: the workspace, the compute, and the dataset. After that, we submitted an AutoML run through the UI and integrated the model with Power BI. In the next chapter, we'll go through the process of training and integrating a model again, but this time, we'll use another feature within Azure ML to do it: the Designer.