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Azure for Students: Cannot Create ML Workspace or Storage Account Due to Region Policy

Hamesh Raj 0 Reputation points
2025-11-12T13:04:18.6966667+00:00

Hello everyone,

I am using an Azure for Students subscription, and I am facing an issue while trying to create an Azure Machine Learning Workspace.

  • I can successfully create Resource Groups in eastus2.
  • However, when I try to create a Storage Account, Key Vault, Application Insights, Container Registry, or ML Workspace, I get the following error:
    RequestDisallowedByAzure: Resource was disallowed by Azure. This policy maintains a set of best available regions where your subscription can deploy resources.

It seems that Azure policies for student subscriptions block certain resource types in most regions. I’ve tried multiple regions, but the dependent resources required for ML deployment are not allowed.

My question:

  • Has anyone faced this issue with Azure for Students?
  • Are there any workarounds to create ML Workspace or Storage Account under this subscription?
  • Can I use existing resources or some alternative way to deploy Azure ML in a student subscription?

Thank you for your help!

Azure Machine Learning
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  1. Anshika Varshney 13,585 Reputation points Microsoft External Staff Moderator
    2025-11-14T08:08:34.4933333+00:00

    Hi Hamesh Raj,

    Your student subscription is working (since you can create the resource group) but the policy-based restrictions (allowed regions) are what block the creation of certain resource types (storage, AML workspace) in regions not approved for your subscription. Please check your “Allowed resource deployment regions” policy assignment, pick a supported region from that list, and retry deploying your AML workspace in that region.

    If you do try a supported region and it still fails, please share the exact region you used and the full error message we’ll dig further into it.

    For your reference:

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  2. TP 157.7K Reputation points Volunteer Moderator
    2025-11-12T17:41:13.2233333+00:00

    Hi @Hamesh Raj

    Azure for Students restricts which regions you can deploy resources to. Typically you are restricted to five different regions, and these vary for each person.

    Please navigate to Azure Policy -- Authoring -- Assignments using link below:

    https://portal.azure.com/#view/Microsoft_Azure_Policy/PolicyMenuBlade/~/Assignments

    Click on assignment named Allowed resource deployment regions

    User's image

    Examine Allowed locations Parameter value for list of regions, similar to below (regions in screenshot are different than yours):

    User's image

    The regions shown in your Parameter value are the ones you are allowed to deploy resources to. Please try to create resources in one of these regions and let me know the results.

    Please click Accept Answer and upvote if the above was helpful.

    Thanks.

    -TP

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  3. AI answer

    2025-11-12T13:05:03.9466667+00:00

    It appears that you are encountering restrictions related to Azure policies for student subscriptions, which can limit the types of resources that can be created in certain regions. Here are some insights regarding your questions:

    1. Common Issue: Yes, many users with Azure for Students subscriptions have faced similar issues due to the limitations imposed by Azure policies. These policies are designed to ensure that resources are deployed in regions that are best suited for student subscriptions.
    2. Workarounds: Unfortunately, there are limited workarounds for creating an Azure Machine Learning Workspace or Storage Account under the Azure for Students subscription. You might want to consider the following:
      • Check Available Regions: Ensure you are trying to create resources in regions that are explicitly allowed for your subscription. Sometimes, certain regions may have more flexibility than others.
      • Use Existing Resources: If you have any existing resources that were created in a different subscription or under a different Azure plan, you may be able to use those resources with your Azure Machine Learning Workspace.
      • Contact Support: If you have a specific business need or project that requires these resources, consider reaching out to Azure support to see if they can provide any assistance or exceptions.
    3. Alternatives: If you are unable to create the necessary resources, consider using local development environments or other cloud platforms that might offer more flexibility for educational purposes. You can also explore using Azure's free tier offerings or other promotional credits if available.

    In summary, while the restrictions can be frustrating, exploring existing resources and contacting support may provide some avenues for resolution.

    References:

    AI-generated content may be incorrect. Read our transparency notes for more information.

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