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Broken links fixing - ivorb
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learn-pr/wwl-data-ai/build-language-solution-azure-openai/includes/3-use-openai-rest.md

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Azure OpenAI offers a REST API for interacting and generating responses that developers can use to add AI functionality to their applications. This unit covers example usage, input and output from the API.
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> [!NOTE]
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> Before interacting with the API, you must create an Azure OpenAI resource in the Azure portal, deploy a model in that resource, and retrieve your endpoint and keys. Check out the [Getting started with Azure OpenAI Service](/training/modules/get-started-openai/) to learn how to do that.
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> Before interacting with the API, you must create an Azure OpenAI resource in the Azure portal, deploy a model in that resource, and retrieve your endpoint and keys. Check out the [Getting started with Azure OpenAI Service](/azure/ai-services/openai) to learn how to do that.
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For each call to the REST API, you need the endpoint and a key from your Azure OpenAI resource, and the name you gave for your deployed model. In the following examples, the following placeholders are used:
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learn-pr/wwl-data-ai/build-language-solution-azure-openai/includes/4-use-openai-sdk.md

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In addition to REST APIs covered in the previous unit, users can also access Azure OpenAI models through C# and Python SDKs. The same functionality is available through both REST and these SDKs.
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> [!NOTE]
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> Before interacting with the API using either SDK, you must create an Azure OpenAI resource in the Azure portal, deploy a model in that resource, and retrieve your endpoint and keys. Check out the [Getting started with Azure OpenAI Service](/training/modules/get-started-openai/) to learn how to do that.
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> Before interacting with the API using either SDK, you must create an Azure OpenAI resource in the Azure portal, deploy a model in that resource, and retrieve your endpoint and keys. Check out the [Getting started with Azure OpenAI Service](/azure/ai-services/openai) to learn how to do that.
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For both SDKs covered in this unit, you need the endpoint and a key from your Azure OpenAI resource, and the name you gave for your deployed model. In the following code snippets, the following placeholders are used:
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### YamlMime:Module
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uid: learn.wwl.generate-images-azure-openai
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metadata:
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title: Generate images with Azure OpenAI Service
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description: Use DALL-E in Azure OpenAI service to generate images
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.service: azure-ai-openai
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ms.topic: module-standard-task-based
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ms.collection:
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- wwl-ai-copilot
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title: Generate images with Azure OpenAI Service
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summary: "The Azure OpenAI service includes the DALL-E model, which you can use to generate original images based on natural language prompts."
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abstract: |
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By the end of this module, you'll be able to:
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- Describe the capabilities of DALL-E in the Azure OpenAI service
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- Use the DALL-E playground in Azure AI Studio
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- Use the Azure OpenAI REST interface to integrate DALL-E image generation into your apps
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prerequisites: |
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Before starting this module, you should be familiar with the Azure OpenAI service. Consider completing the [Get started with Azure OpenAI Service](/training/modules/get-started-openai/) module before starting this one.
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iconUrl: /learn/achievements/generic-badge.svg
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levels:
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- intermediate
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roles:
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- ai-engineer
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- developer
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- solution-architect
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- student
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products:
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- azure-openai
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- azure
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subjects:
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- cloud-computing
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- data-management
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units:
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- learn.wwl.generate-images-azure-openai.introduction
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- learn.wwl.generate-images-azure-openai.what-is-dall-e
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- learn.wwl.generate-images-azure-openai.dall-e-in-openai-studio
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- learn.wwl.generate-images-azure-openai.dall-e-rest-api
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- learn.wwl.generate-images-azure-openai.exercise-use-dall-e
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- learn.wwl.generate-images-azure-openai.knowledge-check
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- learn.wwl.generate-images-azure-openai.summary
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badge:
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uid: learn.wwl.generate-images-azure-openai.badge
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### YamlMime:Module
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uid: learn.wwl.generate-images-azure-openai
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metadata:
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title: Generate images with Azure OpenAI Service
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description: Use DALL-E in Azure OpenAI service to generate images
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.service: azure-ai-openai
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ms.topic: module-standard-task-based
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ms.collection:
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- wwl-ai-copilot
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title: Generate images with Azure OpenAI Service
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summary: "The Azure OpenAI service includes the DALL-E model, which you can use to generate original images based on natural language prompts."
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abstract: |
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By the end of this module, you'll be able to:
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- Describe the capabilities of DALL-E in the Azure OpenAI service
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- Use the DALL-E playground in Azure AI Studio
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- Use the Azure OpenAI REST interface to integrate DALL-E image generation into your apps
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prerequisites: |
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Before starting this module, you should be familiar with the Azure OpenAI service. Consider completing the [Get started with Azure OpenAI Service](/azure/ai-services/openai) module before starting this one.
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iconUrl: /learn/achievements/generic-badge.svg
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levels:
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- intermediate
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roles:
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- ai-engineer
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- developer
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- solution-architect
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- student
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products:
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- azure-openai
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- azure
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subjects:
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- cloud-computing
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- data-management
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units:
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- learn.wwl.generate-images-azure-openai.introduction
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- learn.wwl.generate-images-azure-openai.what-is-dall-e
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- learn.wwl.generate-images-azure-openai.dall-e-in-openai-studio
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- learn.wwl.generate-images-azure-openai.dall-e-rest-api
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- learn.wwl.generate-images-azure-openai.exercise-use-dall-e
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- learn.wwl.generate-images-azure-openai.knowledge-check
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- learn.wwl.generate-images-azure-openai.summary
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badge:
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uid: learn.wwl.generate-images-azure-openai.badge
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