instructions.md

Instructions

To create an Azure Machine Learning workspace from the Azure portal, you can follow these steps:

1. Sign in to the Azure portal (https://portal.azure.com).
2. Click on the "+ Create a resource" button on the top left corner of the portal.
3. In the search bar, type "Azure Machine Learning" and select "Azure Machine Learning" from the results.
4. Click on the "Create" button to start creating a new Azure Machine Learning workspace.
5. In the "Basics" tab, provide a unique name for your workspace.
6. Select the subscription, resource group, and region for your workspace.
7. Click on the "Next: Networking" button to proceed to the next step.
8. Configure the networking settings according to your requirements (for demo purposes you can leave it with the default values).
9. Click on the "Next: Encryption" button to proceed to the next step.
10. Configure the data encryption settings according to your requirements. (for demo purposes you can leave it with the default values).
11. Click on the "Next: Identity" button to proceed to the next step.
12. Configure the identity settings according to your requirements. (for demo purposes you can leave it with the default values).
13. Click on the "Next: Tags" button to proceed to the next step.
14. Configure the tags settings as needed. (for demo purposes you can leave it with the default values).
15. Click on the "Review + create" button to review your workspace configuration.
16. After reviewing, click on the "Create" button to create the Azure Machine Learning workspace.
17. Wait for the deployment to complete. This may take a few minutes.
18. Once the deployment is successful, you can access your Azure Machine Learning workspace from the Azure portal.

Your resource group should look something like this