fix links

Author: deeikele

articles/ai-foundry/concepts/ai-resources.md

@@ -19,7 +19,7 @@ author: Blackmist
 # Hub resources overview
 
 > [!NOTE]
-> You must use a **[!INCLUDE [hub](../includes/hub-project-name.md)]** for the features mentioned in this article. A **[!INCLUDE [fdp](../includes/fdp-project-name.md)]** is not supported. For more information, see [Project types](../what-is-azure-ai-foundry.md#project-types).
+> You must use a **[!INCLUDE [hub](../includes/hub-project-name.md)]** for the features mentioned in this article. A **[!INCLUDE [fdp](../includes/fdp-project-name.md)]** is not supported. For more information, see [Project types](../what-is-azure-ai-foundry.md#which-type-of-project-do-i-need).
 
 Azure AI Hub is a resource type that is used in combination with Azure AI Foundry resource type, and is only required for selected use cases. Hub resources provides access to open-source model hosting and finetuning capabilities, as well as Azure Machine Learning capabilities, next to capabilities supported by its associated AI Foundry resource.
 
@@ -63,11 +63,11 @@ Projects also have specific settings that only hold for that project:
 A hub shares configurations for a group of projects. As a team lead, consider creating a hub for use cases that share the same security configurations or business domain to avoid repetive setup and let developers create their own project against the pre-configured environment.
 
 Shared configurations managed on the hub include:
-* **Security** including public network access, [virtual networking](#virtual-networking), customer-managed key encryption, and identity controls. Security settings configured on the hub automatically pass down to each project. A managed virtual network is shared between all projects that share the same hub.
+* **Security** including public network access, customer-managed key encryption, and identity controls. Security settings configured on the hub automatically pass down to each project. A managed virtual network is shared between all projects that share the same hub.
 * **Connections** let you access objects in Azure AI Foundry portal that are managed outside of your hub. For example, uploaded data on an Azure storage account, or model deployments on an existing Azure OpenAI or AI Foundry resource. Optionally use connection to store shared credentials, so developers can implicitly access remote objects during development.
 * **Compute and quota allocation** is managed as shared capacity for all projects in Azure AI Foundry portal that share the same hub. This quota includes compute instance as managed cloud-based workstation for an individual. The same user can use a compute instance across projects.
 * **Policy** enforced in Azure on the hub scope applies to all projects managed under it.
-* **Dependent Azure resources** are set up once per hub and associated projects and used to store artifacts you generate while working in Azure AI Foundry portal such as logs or when uploading data. For more information, see [Azure AI dependencies](#azure-ai-dependencies).
+* **Dependent Azure resources** are set up once per hub and associated projects and used to store artifacts you generate while working in Azure AI Foundry portal such as logs or when uploading data. For more information, see [dependent resources](#storage-and-key-vault-dependent-resources).
 
 ## Access Azure AI Foundry models from hub-based projects
 

articles/ai-foundry/how-to/costs-plan-manage.md

@@ -55,7 +55,7 @@ When you create resources for a hub, resources for other Azure services are also
 
 | Service pricing page | Description with example use cases | 
 | --- | --- | 
-| [Azure AI services](https://azure.microsoft.com/pricing/details/cognitive-services/) | You pay to use services such as Azure OpenAI, Speech, Content Safety, Vision, Document Intelligence, and Language. Costs vary for each service and for some features within each service. For more information about provisioning of Azure AI services, see [Azure AI Foundry hubs](../concepts/ai-resources.md#azure-ai-services-api-access-keys).| 
+| [Azure AI services](https://azure.microsoft.com/pricing/details/cognitive-services/) | You pay to use services such as Azure OpenAI, Speech, Content Safety, Vision, Document Intelligence, and Language. Costs vary for each service and for some features within each service. For more information about provisioning of Azure AI services, see [Azure AI Foundry hubs](../concepts/ai-resources.md).| 
 | [Azure AI Search](https://azure.microsoft.com/pricing/details/search/) | An example use case is to store data in a [vector search index](./index-add.md). |
 | [Azure Machine Learning](https://azure.microsoft.com/pricing/details/machine-learning/) | Compute instances are needed to run [Visual Studio Code (Web or Desktop)](./develop/vscode.md) and [prompt flow](./prompt-flow.md) via Azure AI Foundry.<br/><br/>When you create a compute instance, the virtual machine (VM) stays on so it's available for your work.<br/><br/>Enable idle shutdown to save on cost when the VM is idle for a specified time period.<br/><br/>Or set up a schedule to automatically start and stop the compute instance to save cost when you aren't planning to use it. | 
 | [Azure Virtual Machine](https://azure.microsoft.com/pricing/details/virtual-machines/) | Azure Virtual Machines gives you the flexibility of virtualization for a wide range of computing solutions with support for Linux, Windows Server, SQL Server, Oracle, IBM, SAP, and more. |
@@ -115,7 +115,7 @@ Here's an example of how to monitor costs for a project. The costs are used as a
 
     :::image type="content" source="../media/cost-management/project-costs/project-settings-go-view-costs.png" alt-text="Screenshot of the Azure AI Foundry portal showing how to see project settings." lightbox="../media/cost-management/project-costs/project-settings-go-view-costs.png":::
 
-1. Expand the **Resource** column to see the costs for each service that's underlying your [project](../concepts/ai-resources.md#organize-work-in-projects-for-customization). But this view doesn't include costs for all resources that you use in a project.
+1. Expand the **Resource** column to see the costs for each service that's underlying your [project](../concepts/ai-resources.md). But this view doesn't include costs for all resources that you use in a project.
 
     :::image type="content" source="../media/cost-management/project-costs/costs-per-project-resource.png" alt-text="Screenshot of the Azure portal cost analysis with the project and associated resources." lightbox="../media/cost-management/project-costs/costs-per-project-resource.png":::
 
@@ -131,9 +131,9 @@ Here's an example of how to monitor costs for a project. The costs are used as a
     - The resource group name is **rg-contosoairesource**.
     - The total cost for all resources and services in the example resource group is **$222.97**. In this example, $222.97 is the total cost for your application or solution that you're building with Azure AI Foundry. Again, this example assumes that all Azure AI Foundry Services are in the same resource group. But you can have resources in different resource groups.
     - The project name is **contoso-outdoor-proj**.
-    - The costs that are limited to resources and services in the example [project](../concepts/ai-resources.md#organize-work-in-projects-for-customization) total **$212.06**. 
+    - The costs that are limited to resources and services in the example [project](../concepts/ai-resources.md) total **$212.06**. 
 
-1. Expand **contoso-outdoor-proj** to see the costs for services underlying the [project](../concepts/ai-resources.md#organize-work-in-projects-for-customization) resource. 
+1. Expand **contoso-outdoor-proj** to see the costs for services underlying the [project](../concepts/ai-resources.md) resource. 
 
     :::image type="content" source="../media/cost-management/project-costs/costs-per-project-resource-details.png" alt-text="Screenshot of the Azure portal cost analysis with project expanded." lightbox="../media/cost-management/project-costs/costs-per-project-resource-details.png":::
 

articles/ai-services/includes/quickstarts/management-azportal.md

@@ -19,7 +19,7 @@ author: eric-urban
 
 ## Create a first resource
 
-AI Foundry portal provides a way to create a new Azure resource with basic,  defaulted, settings. If your organization requires customized Azure configurations like alternative names, security controls or cost tags, you may have to use Azure Portal or [template options](../../ai-foundry/how-to/create-resource-template.md) to comply with your organization's Azure Policy compliance.
+AI Foundry portal provides a way to create a new Azure resource with basic,  defaulted, settings. If your organization requires customized Azure configurations like alternative names, security controls or cost tags, you may have to use Azure Portal or [template options](../../../ai-foundry/how-to/create-resource-template.md) to comply with your organization's Azure Policy compliance.
 
 # [Azure AI Foundry portal](#tab/ai-foundry)