Create Azure resources

Here we will create the needed Azure resources that we will use throughout this section.

Exercise: Create Azure Open AI

Let's create an Azure Open AI cloud resource.

-1- Create an Azure Open AI instance

• Navigate to Azure Portal.

• Search for Azure Open AI and select "Create" button.

  

• Fill out all the values and create the resource.

  

-2- Create a deployment on your Azure Open AI instance

• Navigate to your deployed Azure Open AI instance and select "Go to Azure AI Foundry Portal".

  

  You should now see a user interfance like so:

  

• Select "Deployments" in the left menu and select "+ Deploy model" and select "base model"

• Type gpt-4o, select the model from the list and click "Confirm".

  Now you are all set.

Exercise: Create an Azure API Management instance

• In Azure Portal, type Azure API Management services.

• Select "+ Create" and fill in the needed information to create a new Azure API Management instance.

  

  Great, now that we Azure Open AI deployments and Azure API Management created, we can move on to the next activity which is to load balance between Azure Open AI instances.

Exercise: Create Application Insights instance

1. Sign in to the Azure portal and create an Application Insights resource.

2. 

3. Fill in the following values:

   Settings	Value	Description
   Name	Unique value	Fill in a unique value
   Resource group	New or existing resource group	Fill in new or existing resource group
   Region	Fill in region	Fill in a region close to you
   Resource mode	Classic or workspace-based	Workspace-based resources allow you to send your Application Insights telemetry to a common Log Analytics workspace

4. Here's how you can fill it out:

Learn more how to provision an Application Insights resource here.

Additional Resources

• Docs: Create Azure API Management instance
• Docs: Create Azure Open AI
• Docs: Create Azure Application Insight instance

Infrastructure as Code

• Lab: Folder with Bicep recipes for different resources