Ksama Arora

Create Machine Learning Workspace in Azure - Lab 1

• Everything in Azure goes into a resource group
• Create Azure ML Workspace: Save configuration/template of workspace if needed for future use.
• Application Insights, Key Vaults, and Storage account created: Ensure these are set up for your workspace.
• Go to Azure ML Studio
• Create Compute Instance (VM) for notebook to run
• Stop VM

DETAILED STEPS:

Step 1:

• Got to Azure Machine Learning and create a new ML Workspace
• Save configuration/template of workspace using Azure Resource Manager (ARM) by clicking on download button if needed for future use

Step 2:

• Once deployment is complete, go to our resource and check the Key Vault and Application Insight that has been created. Now go to Azure ML Studio

Step 3:

• Now in the ML Studio, create some compute VM
• To power a notebook we will create a compute instance.

Step 4:

• To test the compute we will create a jupyter notebook

Step 5:

• Test a program. We will use Azure ML Kernel as it has all the tools installed

Step 6:

• Remember to stop the virtual machine after use to avoid unnecessary charges.