Guided Lab: Deploy and Access Microsoft Foundry (formerly Azure AI Studio)
Description
Microsoft Foundry is a comprehensive Azure platform-as-a-service designed for enterprise AI, model development, and application innovation. It brings together robust, production-ready infrastructure with intuitive interfaces, allowing developers to focus on creating solutions instead of managing underlying resources.
This lab guides you through deploying a Microsoft Foundry workspace in the Azure portal, highlighting essential configuration steps and showing you how to access the Foundry portal for project creation and management.
Objectives
In this lab, you will:
- Navigate to Microsoft Foundry in the Azure portal.
- Create a new Foundry project by configuring core settings such as resource group, workspace name, and region.
- Review optional configuration tabs (Storage, Network, Identity, Encryption, Tags).
- Deploy the Foundry workspace and monitor progress in the Deployment Overview blade.
- Access the deployed Foundry workspace and launch the Foundry portal to begin building applications and services.
Subscribe to access Azure PlayCloud LabsLab Steps
Navigating to Microsoft Foundry
1. In the Azure portal, go to the unified search bar at the top.
2. Type “Foundry” and select Microsoft Foundry from the results.
3. On the Microsoft Foundry blade, expand the “Use with Foundry” and then navigate to Foundry.
Creating a Microsoft Foundry Project
1. Under the Basics tab:
- Select an existing Resource Group from the dropdown.
- In the name field, enter your preferred name. Should be unique.
- Set the Region to Central US.
2. You may check the other tabs like Storage, Network, Identity, Encryption, and Tags, but for this lab, we will leave the other configurations as is.
3. Navigate to Review + create, then click the Create button to initialize deployment.
Deployment Overview
Once the deployment begins, Azure will start provisioning your Microsoft Foundry and its associated resources. You’ll be redirected to the Deployment Overview blade, where you can monitor progress in real time.
Key elements to review include:
- Deployment Name – The unique identifier for this Foundry deployment session. Useful for tracking and referencing in logs or support cases.
- Status – Indicates the current state of the deployment (e.g., In progress, Succeeded, Failed). Watch for errors or warnings here.
- Start Time – Timestamp showing when the deployment was initiated. Helpful for auditing and performance tracking.
- Resource Group – The container that holds your VMSS and related resources.
- Subscription – The container that holds your Foundry workspace and related resources.
- Correlation ID – A unique GUID used for backend tracking and support diagnostics. Include this when contacting Microsoft support.
- Resource Details – A breakdown of all resources created during deployment.
Once the deployment is complete, click Go to resource to open your newly created Microsoft Foundry workspace. This takes you directly to the resource blade, where you can configure and manage your environment.
Accessing the Microsoft Foundry portal
From the resource blade, select Go to Foundry portal.
You’ll be redirected to the Foundry portal, where you can begin building, deploying, and managing your applications and services.
Congratulations! You’ve successfully deployed Microsoft Foundry using the Azure portal. In this guided lab, you navigated to Foundry, created a new project, configured core settings, monitored deployment progress, and accessed the Foundry portal.
You now have a workspace ready to support enterprise AI operations, model development, and application innovation. From here, you can explore Foundry’s capabilities further.