How to create a AI foundry project under my sponsor subscription

Logan Yang 5 Reputation points
2025-03-17T05:45:48.9033333+00:00

Hi,
I'm trying to use my Microsoft Azure Sponsorship credits for the AI Foundry serverless models. I can't seem to create a project and deployment using this Microsoft Azure Sponsorship.

Plus, the AI foundry pages are quite confusing on its own. I was used to the Azure OpenAI pages last year but now it's very complex. For example, there are "Azure OpenAI" and "AI inference" from a dropdown, and I was not able to find a CURL example for a REST API, there's only code samples.

Please help, thanks!

Logan

Foundry Tools
Foundry Tools

Formerly known as Azure AI Services or Azure Cognitive Services is a unified collection of prebuilt AI capabilities within the Microsoft Foundry platform


2 answers

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  1. Amira Bedhiafi 43,046 Reputation points MVP Volunteer Moderator
    2025-03-17T09:30:01.87+00:00

    Hello Logan,

    Thank you for posting your question on Microsoft Learn.

    To create an AI Foundry project under your Microsoft Azure Sponsorship subscription :

    First, go to the Azure Portal and log in with your credentials.

    In the search bar at the top of the Azure Portal, type "AI Services" and select it from the dropdown.

    Click on the "Create" button to start creating a new AI service resource.

    From the list of available AI services, find and select "AI Foundry".

    Make sure that your Microsoft Azure Sponsorship subscription is selected in the subscription dropdown.

    Then you need to configure the AI Foundry Project !

    • Create a new resource group or select an existing one.
    • Choose the region where you want to deploy your AI Foundry project.
    • Select the pricing tier that fits your needs. Ensure that it aligns with your sponsorship credits.

    Review all the settings and click on "Create" to deploy your AI Foundry project.

    Once the deployment is complete, go to the resource page of your AI Foundry project.

    Look for the "API Documentation" or "Quickstart" section. This should provide you with the necessary endpoints and authentication details.

    If you can't find a CURL example directly, you can often infer it from the code samples provided. For example, if you see a Python example using requests, you can convert it to a CURL command.

    Assuming you have an endpoint and an API key, a typical CURL command might look like this:

    
    curl -X POST "https://<your-endpoint>.azurewebsites.net/api/v1/predict" \
    
    -H "Content-Type: application/json" \
    
    -H "Authorization: Bearer <your-api-key>" \
    
    -d '{"input": "your input data"}'
    

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