Merge pull request #3511 from laujan/406400-update-cu-links-ai-foundry

update links

Author: JamesJBarnett

articles/ai-services/content-understanding/media/quickstarts/ai-services-landing-page.png

@@ -6,12 +6,13 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: quickstart
-ms.date: 02/19/2025
+ms.date: 03/12/2025
 ms.custom: ignite-2024-understanding-release
 ---
 
 # Use Content Understanding in the Azure AI Foundry
-[The Azure AI Foundry](https://ai.azure.com/) is a comprehensive platform for developing and deploying generative AI applications and APIs responsibly. Azure AI Content Understanding is a new generative [Azure AI Service](../../what-are-ai-services.md) that analyzes files from varied modalities and extracts structured output in a user-defined field format. Input sources include document, video, image, and audio data. This guide shows you how to build and test a Content Understanding analyzer in the AI Foundry. You can then utilize the extracted data in any app or process you build using a simple REST API call. Content Understanding analyzers are fully customizable. You can create an analyzer by building your own schema from scratch or by using a suggested analyzer template offered to address common scenarios across each data type.
+
+[The Azure AI Foundry](https://azure.microsoft.com/products/ai-foundry) is a comprehensive platform for developing and deploying generative AI applications and APIs responsibly. Azure AI Content Understanding is a new generative [Azure AI Service](../../what-are-ai-services.md) that analyzes files from varied modalities and extracts structured output in a user-defined field format. Input sources include document, video, image, and audio data. This guide shows you how to build and test a Content Understanding analyzer in the AI Foundry. You can then utilize the extracted data in any app or process you build using a simple REST API call. Content Understanding analyzers are fully customizable. You can create an analyzer by building your own schema from scratch or by using a suggested analyzer template offered to address common scenarios across each data type.
 
   :::image type="content" source="../media/quickstarts/ai-foundry-overview.png" alt-text="Screenshot of the Content Understanding workflow in the Azure AI Foundry.":::
 
@@ -35,17 +36,20 @@ To get started, make sure you have the following resources and permissions:
 > [!NOTE]
 > The Content Understanding project type is separate from the Generative AI project type, also available in the AI Foundry.
 
-In order to try out [the Content Understanding service in the AI Foundry](https://ai.azure.com/explore/aiservices/vision/contentunderstanding), you have to create a Content Understanding project. You can access Content Understanding from:
+In order to try out [the Content Understanding service in the AI Foundry](https://aka.ms/ai-services-landing), you have to create a Content Understanding project. You can access Content Understanding from:
 
 * The [AI Foundry home page](https://ai.azure.com/)
-   :::image type="content" source="../media/quickstarts/foundry-home-page.png" alt-text="Screenshot of the AI Foundry home page.":::
 
-* The [AI Services landing page](https://ai.azure.com/https://ai.azure.com/explore/aiservices)
-   :::image type="content" source="../media/quickstarts/cu-ai-services-landing-page.png" alt-text="Screenshot of the AI Services landing page in AI Foundry.":::
+   :::image type="content" source="../media/quickstarts/foundry-home-page.png" lightbox="../media/quickstarts/foundry-home-page.png" alt-text="Screenshot of the AI Services landing page in AI Foundry.":::
+   
+
+* The [AI Services landing page](../../index.yml)
+
+   :::image type="content" source="../media/quickstarts/ai-services-landing-page.png" lightbox="../media/quickstarts/ai-services-landing-page.png" alt-text="Screenshot of the AI Services landing page.":::
 
 Once on the Content Understanding page, select `Create a new Content Understanding Project`:
 
-   :::image type="content" source="../media/quickstarts/cu-landing-page.png" alt-text="Screenshot of Content Understanding page.":::
+   :::image type="content" source="../media/quickstarts/cu-landing-page.png" lightbox="../media/quickstarts/cu-landing-page.png" alt-text="Screenshot of Content Understanding page.":::
 
  Follow the steps in the project creation wizard, and start by selecting the hub that you already created. When the hub was created, it should provision an AI Services resource and a blob storage container which are selected by default. You can alternatively create one using the wizard, or the [Azure portal](../how-to/create-multi-service-resource.md). The following diagram illustrates the role of hubs, resources, and projects in the AI Foundry.