Lab 1 - Environment Setup

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 >