This Use Case is for guidance on how to create an AI model inside Azure AI Foundry. The AI then can be used for different Copilot Use Cases in our KB. 

Create Azure AI Foundry resource. 

1. Login to Azure and search for Azure AI foundry.
2. Within Use with AI Foundry click on create.
3. Assign a Azure subscription and resource group:
   1. Subscription: Select your subscription.
   2. Resource Group: Choose the one you created in prerequisites.
   3. Region: The region you want the service to be hosted in. 
      💡Ideally the same as your resource group for consistency.
   4. Name: Provide a unique name for the Foundry instance.
      
4. Configure other settings depending on your needs or company requirements.
5. ⮑ After the deployment is done:
   Go to Resource Groups and confirm that Azure AI Foundry is listed …
   1. … under your chosen group. 
   2. … and also accessible via URL: https://ai.azure.com/
6. Inside the menu chose an AI Model. 
   💡For our case we use gpt-4o-mini. Of course you can use any model you like.
7. Make sure check the location.
8. Then click “Use this Model” at the top you to deploy your model.
9. After deploying your model, choose the options you want to have in regards to 
   1. Deployment Type: Indicates the deployment type or category.
   2. Deployment Details: Provides specific configuration information about the deployment.
   3. Filters: Allows you to narrow down the model responses based on predefined filters.
       
10. After the deployment go to Models + endpoints 
    1. Find the target URL and the key.
    2. Use this This information to send data to the AI. 
       💡For example, in our Use Case - Building a Classification Agent we use an HTTP request in Power Automate which sends the information which we created above to the gpt-4o-mini AI.