User Manual Q&AAnswer
Apr 12, 2025 - 02:53 AM
To provision an Azure Machine Learning workspace, you can follow these steps:
1. Sign in to the Azure portal.
2. In the left-hand menu, click on "Create a resource".
3. In the search bar, type "Machine Learning" and select "Machine Learning".
4. Click on "Create" to start the creation process.
5. In the "Basics" tab, provide a unique name for your workspace.
6. Select the subscription, resource group, and region for your workspace.
7. Choose the edition and pricing tier that suits your needs.
8. Click on "Next: Networking" to proceed.
9. Configure the networking settings if necessary and click on "Next: Security + Identity".
10. Configure the security and identity settings if necessary and click on "Next: Tags".
11. Add any tags if required and click on "Next: Review + Create".
12. Review your settings and click on "Create" to provision the Azure Machine Learning workspace.
Once the workspace is provisioned, you can access it through the Azure portal and start using it to manage your machine learning assets such as data, compute, model training code, logged metrics, and trained models.
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