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articles/ai-services/content-understanding/quickstart/use-ai-foundry-pro-mode.md

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This guide will show you how to build and test a Content Understanding analyzer in the AI Foundry. You can then utilize the analyzer in any app or process you build using a simple REST API call, allowing you to extract meaningful outputs on your data at scale. 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.
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:::image type="content" source="media/overview/component-overview-updated.png" alt-text="Screenshot of Content Understanding overview, process, and workflow." lightbox="media/overview/component-overview-updated.png" :::
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## Prerequisites
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To get started, make sure you have the following resources and permissions:
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[!INCLUDE [hub based project required](../../../ai-foundry/includes/uses-hub-only.md)]
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* If your organization requires you to customize the security of storage resources, refer to [Azure AI services API access keys](../../../ai-foundry/concepts/encryption-keys-portal.md) to create resources that meet your organizations requirements through the Azure portal. To learn how to utilize customer managed keys, refer to [Encrypt data using customer-managed keys](../../../ai-foundry/concepts/encryption-keys-portal.md).
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## Create a custom task
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Follow these steps to create a custom task in the Azure AI Foundry. This task will be used to build your first analyzer.

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