Explore the components and tools of the Azure AI Studio

In this exercise, you use Azure AI Studio to create a project and explore a generative AI model.

This exercise takes approximately 30 minutes.

Open Azure AI Studio

Let’s start by exploring Azure AI Studio.

  1. In a web browser, open https://ai.azure.com and sign in using your Azure credentials. The home page of Azure AI Studio looks similar to the following image:

    Screenshot of Azure AI Studio.

  2. Review the information on the home page and view each of the tabs, noting the options to explore models and capabilities, create projects, and manage resources.

Create an Azure AI hub

You need an Azure AI hub in your Azure subscription to host projects. You can either create this resource while creating a project, or provision it ahead of time (which is what we’ll do in this exercise).

  1. In the Management section, select All hubs, then select + New hub. Create a new hub with the following settings:
    • Hub name: A unique name
    • Subscription: Your Azure subscription
    • Resource group: Create a new resource group with a unique name, or select an existing one
    • Location: Make a random choice from any of the following regions*
      • Australia East
      • Canada East
      • East US
      • East US 2
      • France Central
      • Japan East
      • North Central US
      • Sweden Central
      • Switzerland North
      • UK South
    • Connect Azure AI Services or Azure OpenAI: Select to create a new AI Services or use an existing one
    • Connect Azure AI Search: Skip connecting

    * Azure OpenAI resources are constrained at the tenant level by regional quotas. The listed regions include default quota for the model type(s) used in this exercise. Randomly choosing a region reduces the risk of a single region reaching its quota limit in scenarios where you are sharing a tenant with other users. In the event of a quota limit being reached later in the exercise, there’s a possibility you may need to create another resource in a different region.

    After the Azure AI hub has been created, it should look similar to the following image:

    Screenshot of a Azure AI hub details in Azure AI Studio.

  2. Open a new browser tab (leaving the Azure AI Studio tab open) and browse to the Azure portal at https://portal.azure.com, signing in with your Azure credentials if prompted.

  3. Browse to the resource group where you created your Azure AI hub, and view the Azure resources that have been created.

    Screenshot of an Azure AI hub and related resources in the Azure portal.

  4. Return to the Azure AI Studio browser tab.
  5. View each of the pages in the pane on the left side of the page for your Azure AI hub, and note the artifacts you can create and manage. On the Connections page, observe that connections to Azure OpenAI and AI services have already been created.

Create a project

An Azure AI hub provides a collaborative workspace within which you can define one or more projects. Let’s create a project in your Azure AI hub.

  1. In Azure AI Studio, ensure you’re in the hub you just created (you can verify your location by checking the path at the top of the screen).
  2. Navigate to All projects using the menu on the left.
  3. Select + New project.
  4. In the Create a new project wizard, create a project with the following settings:
    • Current hub: Your AI hub
    • Project name: A unique name for your project

  5. Wait for your project to be created. When it’s ready, it should look similar to the following image:

    Screenshot of a project details page in Azure AI Studio.

  6. View the pages in the pane on the left side, expanding each section, and note the tasks you can perform and the resources you can manage in a project.

Deploy and test a model

You can use a project to create complex AI solutions based on generative AI models. A full exploration of all of the development options available in Azure AI Studio is beyond the scope of this exercise, but we’ll explore some basic ways in which you can work with models in a project.

  1. In the pane on the left for your project, in the Components section, select the Deployments page.
  2. On the Deployments page, in the Model deployments tab, select + Create deployment.
  3. Search for the gpt-35-turbo model from the list, select and confirm.
  4. Deploy the model with the following settings:
    • Deployment name: A unique name for your model deployment
    • Model version: Select the default version
    • Deployment type: Standard
    • Connected Azure OpenAI resource: Select the default connection that was created when you created your hub
    • Tokens per Minute Rate Limit (thousands): 5K
    • Content filter: Default

    Note: Reducing the TPM helps avoid over-using the quota available in the subscription you are using. 5,000 TPM is sufficient for the data used in this exercise.

  5. After the model has been deployed, in the deployment overview page, select Open in playground.
  6. In the Chat playground page, ensure that your model deployment is selected in the Deployment section.

  7. In the chat window, enter a query such as What is AI? and view the response:

    Screenshot of the playground in Azure AI Studio.

Clean up

If you’ve finished exploring Azure AI Studio, you should delete the resources you have created in this exercise to avoid incurring unnecessary Azure costs.

  1. Return to the browser tab containing the Azure portal (or re-open the Azure portal in a new browser tab) and view the contents of the resource group where you deployed the resources used in this exercise.
  2. On the toolbar, select Delete resource group.
  3. Enter the resource group name and confirm that you want to delete it.