AI-103 Module 2 Blocked: F0 Tier + Personal Email - Cannot access Language Studio

Riswan Jaman 0 Reputation points
2026-08-07T11:02:54.0866667+00:00

Hi Microsoft Learn Support Team,

I am currently enrolled in the AI-103: Designing and Implementing a Microsoft Azure AI Solution course.

I am stuck in Module 2: "Implement a custom text classification solution" because:

  1.  I am using a Free F0 Azure Cognitive Services resource in East US region.
  2.  The Authoring API for Custom Text Classification returns 404 Resource Not Found.
  3.  I cannot access Azure AI Language Studio https://language.cognitive.azure.com with my personal email.

    It only accepts Organizational/School accounts.

  1.  I do not have an organizational email account.

Without access to Language Studio or Authoring API, I cannot complete the lab and get certified.

This certification is important for me to apply for Azure AI jobs.

Request:

Can you please either:

Option A: Enable Authoring API for my F0 resource temporarily

Option B: Provide me access to Azure AI Language Studio with my personal email

Option C: Provide Azure credits to upgrade to S0 tier for 7 days

My Azure Resource Name: ai103-lang-service-riswan01

My Region: East US

My Personal Email: [ ******@outlook.com ]

Please help me complete the course. Thank you.

With Best Regards,

Riswan Jaman

Azure Language in Foundry Tools
Azure Language in Foundry Tools

An Azure service that provides natural language capabilities including sentiment analysis, entity extraction, and automated question answering.

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  1. Allan Solomon Mejia 7,915 Reputation points
    2026-08-09T21:17:29.7466667+00:00

    Hello @Riswan Jaman

    The F0 tier should not, by itself, prevent you from completing the Custom Text Classification exercise.

    Microsoft currently documents Custom Text Classification as supporting both:

    • F0 - Free tier
    • S - Paid tier

    F0 does have lower quotas. For example, one hour of training per month and one deployment per project—but the Authoring API is supported.

    So I wouldn't recommend upgrading to S solely to resolve the 404 Resource Not Found error.

    Instead, check how the Language resource was created. Microsoft states that Custom Text Classification requires the resource to have the Custom text classification / Custom Named Entity Recognition feature enabled, along with a connected Azure Storage account and system-assigned managed identity.

    In the Azure portal, check your Language resource and verify:

    1. Custom text classification / Custom NER is enabled.
    2. System-assigned managed identity is enabled.
    3. A supported Azure Storage account is connected.
    4. The resource is in a region supported by Custom Text Classification.

    Microsoft's current setup instructions are here:

    Microsoft Learn: Create a Custom Text Classification project

    https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/create-project?

    Also check the Authoring API URL. The current API pattern is:

    {ENDPOINT}/language/authoring/analyze-text/projects/{PROJECT-NAME}?api-version={API-VERSION}

    A 404 Resource Not Found can therefore indicate an incorrect endpoint/resource configuration rather than an F0 restriction.

    Regarding Language Studio, I wouldn't recommend trying to solve this by obtaining an organizational/school email specifically for the lab. Microsoft's current Custom Text Classification documentation provides both portal/Foundry and REST API workflows, so the exercise can be approached using the supported resource/API path.

    I would therefore first recreate or verify the Language resource using Microsoft's current Custom Text Classification quickstart rather than requesting temporary S-tier credits.

    If you still receive 404 Resource Not Found, please post the request URL with the resource name/key removed, API version, and the Azure resource type shown under Properties. Don't post your subscription ID, resource key, or other credentials publicly.

    One additional point: if the AI-103 Module 2 instructions specifically require the old Language Studio experience and that experience no longer accepts the account type used by the learner, that may indicate the training exercise needs updating to match Microsoft's current Foundry workflow. A Microsoft Learn moderator could help confirm that part.

    Please "Accept the Answer" if this information helped you. This will help us and others in the community as well.

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