Working with the AzureML CLI extension

In Chapter 2, Deploying Azure Machine Learning Workspace Resources, you learned how to use the Azure CLI and how to install the azure-cli-ml extension. This extension uses the Python SDK you saw in this chapter to perform various operations. To work with the Azure CLI, you can do one of the following:

1. Open the cloud shell in the Azure portal, as you did in Chapter 2, Deploying Azure Machine Learning Workspace Resources.
2. Open a terminal in the compute instance you have been working on in this chapter.
3. Use the shell assignment feature of Jupyter notebooks, which allows you to execute commands using the underlying shell by using an exclamation mark (!), also known as bang.

In this section, you will use the notebook, something that will allow you to store the steps and repeat them if you need them in the future:

1. The first thing you will need to do is install the azure-cli-ml extension in the Azure CLI of the compute...