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If you already have a workspace, skip this section and continue to Create a compute instance.
If you don't yet have a workspace, create one now:
- Sign in to the Azure portal by using the credentials for your Azure subscription.
- In the upper-left corner of the Azure portal, select the three bars, then + Create a resource.
- Use the search bar to find Machine Learning.
- Select Machine Learning.
- In the Machine Learning pane, select Create to begin.
- Provide the required information to configure your new workspace.
- After you're finished configuring the workspace, select Review + Create.
- Select Create to create the workspace. When the process is finished, a deployment success message appears.
- To view the new workspace, select Go to resource.
- From the portal view of your workspace, select Launch studio to go to the Azure Machine Learning studio.
You could install Azure Machine Learning on your own computer. But in this quickstart, you'll create an online compute resource that has a development environment already installed and ready to go. You'll use this online machine, a compute instance, for your development environment to write and run code in Python scripts and Jupyter notebooks.
Create a compute instance to use this development environment for the rest of the tutorials and quickstarts.
- If you didn't select Go to workspace in the previous section, sign in to Azure Machine Learning studio now, and select your workspace.
- On the left side, under Manage, select Compute.
- Select +New to create a new compute instance.
- Keep all the defaults on the first page, select Next.
- Supply a name and select Create.
In about two minutes, you'll see the State of the compute instance change from Creating to *Running. It's now ready to go.
