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quickstart/101-ai-studio/README.md

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+# Azure AI Studio
+
+This deployment configuration specifies an [Azure AI hub](https://learn.microsoft.com/en-us/azure/ai-studio/concepts/ai-resources), 
+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.
+
+```bash
+terraform init
+
+az login 
+
+terraform plan -var names="tftemplate" -out demo.tfplan
+
+terraform apply "demo.tfplan"
+```
+
+## Common mistakes
+
+1. Make sure docker is running
+1. Make sure to have logged into your Azure Subscription by running ```az login```.
+1. Ensure that you have the correct RBAC permissions for in your subscription, hub, and project.