- Lab
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Provision and Configure a Complete Azure ML Workspace
You are a Data Scientist at Globomantics, tasked with creating the cloud infrastructure needed before any model training can begin. Your goal is to provision a fully configured Azure Machine Learning workspace, complete with a compute cluster and a registered datastore, so the team can run experiments and access training data without manual setup each time.
Lab Info
Table of Contents
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Challenge
Create an Azure Machine Learning workspace
- Create a new Azure Machine Learning workspace via the Azure portal.
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Challenge
Provision a compute cluster
- Create a new compute cluster inside the Azure ML workspace.
- Use a D2s_v3 virtual machine with the node count set to a max of 1.
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Challenge
Register a datastore and verify configuration
- Register the provided Azure Blob Storage container as a named datastore in the workspace.
- Confirm compute clusters and datastores are visible and correctly configured in Azure ML Studio.
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