use include in how-to's

sdgilley · sdgilley · commit ebe6836bd82e · 2025-09-19T09:58:00.000-05:00
diff --git a/articles/ai-foundry/how-to/built-in-policy-model-deployment.md b/articles/ai-foundry/how-to/built-in-policy-model-deployment.md
@@ -22,7 +22,7 @@ Azure Policy provides built-in policy definitions that help you govern the deplo
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/) before you begin.
+- [!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 - Permissions to create and assign policies. To create and assign policies, you must be an [Owner](/azure/role-based-access-control/built-in-roles#owner) or [Resource Policy Contributor](/azure/role-based-access-control/built-in-roles#resource-policy-contributor) at the Azure subscription or resource group level.
 - Familiarity with Azure Policy. To learn more, see [What is Azure Policy?](/azure/governance/policy/overview).
 
diff --git a/articles/ai-foundry/how-to/create-azure-ai-project-template.md b/articles/ai-foundry/how-to/create-azure-ai-project-template.md
@@ -19,7 +19,7 @@ Use a [Microsoft Bicep](/azure/azure-resource-manager/bicep/overview) file (temp
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have one, create a [free account](https://azure.microsoft.com/free/).
+- [!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 
 - A copy of the files from the GitHub repo. To clone the GitHub repo to your local machine, you can use [Git](https://git-scm.com/). Use the following command to clone the quickstart repository to your local machine and navigate to the `aifoundry-basics` directory.
 
diff --git a/articles/ai-foundry/how-to/create-hub-terraform.md b/articles/ai-foundry/how-to/create-hub-terraform.md
@@ -36,7 +36,7 @@ In this article, you use Terraform to create an [Azure AI Foundry](https://ai.az
 
 ## Prerequisites
 
-- Create an Azure account with an active subscription. You can [create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).
+- [!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 
 - [Install and configure Terraform](/azure/developer/terraform/quickstart-configure)
 
diff --git a/articles/ai-foundry/how-to/create-projects.md b/articles/ai-foundry/how-to/create-projects.md
@@ -51,11 +51,11 @@ Use the following tabs to select the method you plan to use to create a [!INCLUD
 
 # [Azure AI Foundry portal](#tab/ai-foundry)
 
-- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/).
+- [!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 
 # [Python SDK](#tab/python)
 
-- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/).
+- [!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 - [Azure Machine Learning SDK v2](https://aka.ms/sdk-v2-install).
 - An Azure AI Foundry hub. If you don't have a hub, see [Create a hub using the Azure Machine Learning SDK and CLI](develop/create-hub-project-sdk.md).
 - [Azure CLI](/cli/azure/install-azure-cli) 
@@ -64,7 +64,7 @@ Use the following tabs to select the method you plan to use to create a [!INCLUD
 
 # [Azure CLI](#tab/azurecli)
 
-- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/).
+- [!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 - [Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you don't have the Azure CLI and machine learning extension installed, follow the steps in the [Install and set up the machine learning extension](/azure/machine-learning/how-to-configure-cli) article.
 - An Azure AI Foundry hub. If you don't have a hub, see [Create a hub using the Azure Machine Learning SDK and CLI](develop/create-hub-project-sdk.md).
 
diff --git a/articles/ai-foundry/how-to/create-resource-template.md b/articles/ai-foundry/how-to/create-resource-template.md
@@ -21,7 +21,7 @@ Use a [Microsoft Bicep](/azure/azure-resource-manager/bicep/overview) file (temp
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have one, create a [free account](https://azure.microsoft.com/free/).
+[!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 
 - A copy of the files from the GitHub repo. To clone the GitHub repo to your local machine, you can use [Git](https://git-scm.com/). Use the following command to clone the quickstart repository to your local machine and navigate to the `aifoundry-basics` directory.
 
diff --git a/articles/ai-foundry/how-to/create-resource-terraform.md b/articles/ai-foundry/how-to/create-resource-terraform.md
@@ -33,7 +33,7 @@ The examples used in article use the [AzAPI](/azure/developer/terraform/overview
 
 ## Prerequisites
 
-- Create an Azure account with an active subscription. You can [create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).
+[!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 
 - [Install and configure Terraform](/azure/developer/terraform/quickstart-configure).
 
diff --git a/articles/ai-foundry/how-to/create-secure-ai-hub.md b/articles/ai-foundry/how-to/create-secure-ai-hub.md
@@ -27,7 +27,7 @@ You can secure your [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs) hub,
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free) before you begin.
+- [!INCLUDE [azure-subscription](../includes/azure-subscription.md)]
 - An Azure Virtual Network that you use to securely connect to Azure services. For example, you might use [Azure Bastion](/azure/bastion/bastion-overview), [VPN Gateway](/azure/vpn-gateway/vpn-gateway-about-vpngateways) or [ExpressRoute](/azure/expressroute/expressroute-introduction) to connect to the Azure Virtual Network from your on-premises network. If you don't have an Azure Virtual Network, you can create one by following the instructions in [Create a virtual network](/azure/virtual-network/quick-create-portal).
 
 ## Create a hub
diff --git a/articles/ai-foundry/how-to/develop/ai-template-get-started.md b/articles/ai-foundry/how-to/develop/ai-template-get-started.md
@@ -25,7 +25,7 @@ Available templates include:
 
 ## Prerequisites
 
-- [Azure subscription](https://azure.microsoft.com/free)
+- [!INCLUDE [azure-subscription](../../includes/azure-subscription.md)]
 - Either a [[!INCLUDE [fdp-project-name](../../includes/fdp-project-name.md)]](../create-projects.md?pivots=fdp-project) or a [[!INCLUDE [hub-project-name](../../includes/hub-project-name.md)]](../create-projects.md?pivots=hub-project).
 
 ## Start with a sample application
diff --git a/articles/ai-foundry/how-to/develop/create-hub-project-sdk.md b/articles/ai-foundry/how-to/develop/create-hub-project-sdk.md
@@ -24,7 +24,7 @@ In this article, you learn how to create the following [Azure AI Foundry](https:
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure AI Foundry](https://azure.microsoft.com/free/) today.
+- [!INCLUDE [azure-subscription](../../includes/azure-subscription.md)]
 
 ## Set up your environment
 
diff --git a/articles/ai-foundry/how-to/develop/langchain.md b/articles/ai-foundry/how-to/develop/langchain.md
@@ -29,7 +29,7 @@ In this tutorial, you learn how to use the packages `langchain-azure-ai` to buil
 
 To run this tutorial, you need:
 
-* An [Azure subscription](https://azure.microsoft.com).
+* [!INCLUDE [azure-subscription](../../includes/azure-subscription.md)]
 
 * A model deployment supporting the [Model Inference API](https://aka.ms/azureai/modelinference) deployed. In this example, we use a `Mistral-Large-2411` deployment in the [Foundry Models](../../../ai-foundry/model-inference/overview.md).
 * Python 3.9 or later installed, including pip.
diff --git a/articles/ai-foundry/how-to/develop/llama-index.md b/articles/ai-foundry/how-to/develop/llama-index.md
@@ -28,7 +28,7 @@ In this example, we're working with the **Model Inference API**.
 
 To run this tutorial, you need:
 
-* An [Azure subscription](https://azure.microsoft.com).
+* [!INCLUDE [azure-subscription](../../includes/azure-subscription.md)]
 * An Azure AI project as explained at [Create a project in Azure AI Foundry portal](../create-projects.md).
 * A model supporting the [Model Inference API](https://aka.ms/azureai/modelinference) deployed. In this example, we use a `Mistral-Large` deployment, but use any model of your preference. For using embeddings capabilities in LlamaIndex, you need an embedding model like `cohere-embed-v3-multilingual`. 
 
diff --git a/articles/ai-foundry/how-to/develop/sdk-overview.md b/articles/ai-foundry/how-to/develop/sdk-overview.md
@@ -31,7 +31,7 @@ The Azure AI Foundry SDK is a set of client libraries and services designed to w
 
 ## Prerequisites
 
-* An Azure subscription. If you don't have one, create a [free account](https://azure.microsoft.com/free/).
+* [!INCLUDE [azure-subscription](../../includes/azure-subscription.md)]
 * [Create a [!INCLUDE [fdp-project-name](../../includes/fdp-project-name.md)]](../create-projects.md?pivots=fdp-project) if you don't have one already.
 * [!INCLUDE [find-endpoint](../../includes/find-endpoint.md)]
 * Sign in with the Azure CLI using the same account that you use to access your project:
diff --git a/articles/ai-foundry/how-to/develop/semantic-kernel.md b/articles/ai-foundry/how-to/develop/semantic-kernel.md
@@ -16,7 +16,7 @@ In this article, you learn how to use [Semantic Kernel](/semantic-kernel/overvie
 
 ## Prerequisites
 
-- An [Azure subscription](https://azure.microsoft.com).
+- [!INCLUDE [azure-subscription](../../includes/azure-subscription.md)]
 - An Azure AI project as explained at [Create a project in Azure AI Foundry portal](../create-projects.md).
 - A model supporting the [Azure AI Model Inference API](../../../ai-foundry/model-inference/reference/reference-model-inference-api.md?tabs=python) deployed. In this example, we use a `Mistral-Large` deployment, but use any model of your preference. For using embeddings capabilities in LlamaIndex, you need an embedding model like `cohere-embed-v3-multilingual`.
 
