Creating an Azure Machine Learning workspace is essential to leverage Azure’s powerful machine learning capabilities. Let’s explore the approaches for creating this, along with the best practices and real-world scenarios.
Table of Contents
Create Azure Machine Learning Workspace
Before discussing the actual functionality, we should know the prerequisites for doing this.
Prerequisites
You must have an Azure subscription. If you don’t have one yet, you can create an Azure Free account.
To Create Azure Machine Learning Workspace, follow the steps below.
1. Log in to the Azure Portal.
2. Search for Azure Machine Learning and click on the search result from Azure Machine Learning under the Services.
3. Click on the New workspace option from the + Create dropdown.
4. On the Create a Machine Learning workspace windows, fill out the below details on the Basics tab.
- Subscription: Choose your Azure Subscription.
- Resource Group: You can select an existing Resource Group or create a new one by clicking the Create new link.
- Name: Provide a unique name for the Azure Machine Learning workspace.
- Region: Select the region or location.
- Storage account: Select an existing storage account, or you can click on create new to create a new storage account, or you can keep the default option as it is.
- Key vault: Select an existing key vault, or you can click on create new to create a new key vault. You can also keep the default option as it is.
- Application Insights: You can select an existing Application insight, click on Create New to create a new Application insight, or keep the default option as it is.
Now, click on the Next: Networking button as shown below.
5. On the Networking tab, select the Public option.
6. Keep all the other tab options as they are and click the Review + Create button.
7. Now, the system will validate all the information you provided and show you the validation passed the message, and then you can see the Create button. Click on the Create button, as shown in the screenshot below.
The deployment has been completed successfully, as shown in the screenshot below. Click on the Go to Resource button to see the Azure Machine Learning Workspace that was created.
You can see the Azure Machine Learning Workspace that we have created below.
Video Tutorial
Conclusion
Creating an Azure Machine Learning Workspace is so easy using the above steps.
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I am Rajkishore, and I am a Microsoft Certified IT Consultant. I have over 14 years of experience in Microsoft Azure and AWS, with good experience in Azure Functions, Storage, Virtual Machines, Logic Apps, PowerShell Commands, CLI Commands, Machine Learning, AI, Azure Cognitive Services, DevOps, etc. Not only that, I do have good real-time experience in designing and developing cloud-native data integrations on Azure or AWS, etc. I hope you will learn from these practical Azure tutorials. Read more.
