Lab 1 - Environment Setup - Developers Guide to Azure AI

Create a Azure Machine Learning Workspace
To get started we need to setup a few resources in Azure. For this we are going to use the Azure CLI. If you don’t have the Azure CLI installed on your machine you can follow the tutorial on MS Docs here.
Install the Azure Machine Learning CLI extension
To install the machine learning extension, use the following command:
az extension add -n azure-cli-ml
Create a resource group
The Azure Machine Learning workspace must be created inside a resource group. You can use an existing resource group or create a new one. To create a new resource group, use the following command. Replace  with the name to use for this resource group. Replace  with the Azure region to use for this resource group:
Example name and location: 
resource group name: pytorchworkshop
location: WestEurope
az group create --name <resource-group-name> --location <location>
Create the workspace
To create a new workspace where the services are automatically created, use the following command:
az ml workspace create -w <workspace-name> -g <resource-group-name>
You can now view your workspace by visiting https://ml.azure.com​
Azure Machine Learning studio
Create a Compute Cluster
To train our model we need an Azure Machine Learning Compute cluster. To create a new compute cluster, use the following command.
This command will create an Azure Machine Learning Compute cluster with 1 node that is always on and is using STANDARD_NC6 virtual Machines.
To speed up the training process you can use a GPU enabled NC6 machine
az ml computetarget create amlcompute -n gpu-cluster --min-nodes 1 --max-nodes 1 --vm-size STANDARD_NC6 -w <workspace-name> -g <resource-group-name>
View your created Azure Machine Learning Compute cluster on https://ml.azure.com​
Creating compute can take a few minutes to complete
Create Azure Machine Learning Compute
Create a Compute instance
To train our model we are going to use a notebook. To run a notebook in Azure Machine Learning studio we need to create a Compute Instance.
Choose a unique name
az ml computetarget create computeinstance -n <name> --vm-size Standard_D2_V2 -w <workspace-name> -g <resource-group-name>
View your created Azure Machine Learning Compute cluster on https://ml.azure.com​
Creating compute can take a few minutes to complete
Create Azure Machine Learning Compute Instance
Create a Notebook
Navigate to the Notebook section in Azure Machine Learning Workspace. 
Create a new file with name 'simpsons' and File type 'notebook'
Create new folder
Setup completed
If everything went correctly you should be looking at a screen that looks like the one below and see that your notebook is running on your created Compute Instance.
Create new folder
​Continue with lab 2 >​

Pre-Requirements - Previous

Azure CLI

Next - Azure Machine Learning

Lab 2 - Train your model

Last modified 1yr ago

Copy link

On this page

Create a Azure Machine Learning Workspace

Install the Azure Machine Learning CLI extension

Create a resource group

Create the workspace

Create a Compute Cluster

Create a Compute instance

Create a Notebook

Setup completed