You will not be able to link a study to your workspace later, once it has already been created. This means any notebooks & data stored in your workspace will be deleted when your workspace is stopped.
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When your SWB account is first approved, your ‘Workspaces’ tab may look like this. Click “Create Research Workspace” to create a workspace.
This will bring up the different workspace configurations that are available for your use. You may want different workspace configurations for different projects. For example, a user interested in conducting machine learning workflows in a python Jupyter Notebook may choose the “SageMaker Notebook-v1” configuration. In general, if there are multiple versions of a workspace available, use the most recent one, with the highest version number. Avoid workspace configurations with the "DEPRECATED" tag.
Next, you will input your workspace details.
After selecting “Create Research Workspace”, you will see your workspace being provisioned in the Workspaces tab. Expect this process to take 7-10 minutes.
When your research workspace status is “Available”, it is ready to use. Connect to your workspace by clicking “Connections” and then clicking “Connect”.
In this example, we created a SageMaker instance with access to Jupyter Notebooks.
I can now create a new python Jupyter notebook using an existing environment…
… and begin my analysis!
