This deployment configuration specifies an Azure AI hub, and its associated resources including Azure Key Vault, Azure Storage. You can optionally provision and attach Azure Application Insights and Azure Container Registry.

This configuration describes the minimal set of resources you require to get started with Azure AI Studio.

Resources

Terraform Resource Type	Description
`azurerm_resource_group`	The resource group all resources get deployed into.
`azurerm_key_vault`	An Azure Key Vault instance associated to the Azure Machine Learning workspace.
`azurerm_storage_account`	An Azure Storage instance associated to the Azure Machine Learning workspace.
`azurerm_application_insights`	An Azure Application Insights instance associated to the Azure Machine Learning workspace.
`azurerm_container_registry`	An Azure Container Registry instance associated to the Azure Machine Learning workspace.

Variables

Name	Description	Default
names	Prefix name for dependent resources.	myfirst
location	The Azure region used for deployments	East US
sku	The SKU for AI Services resources	S0

Usage

After git cloning the repo, run the following commands after having docker running on your machine.

terraform init

az login 

terraform plan -var names="tftemplate" -out demo.tfplan

terraform apply "demo.tfplan"

Common mistakes

Make sure docker is running
Make sure to have logged into your Azure Subscription by running az login.
Ensure that you have the correct RBAC permissions for in your subscription, hub, and project.