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Merge pull request #49562 from ivorb/main
remove VMs and update fwlinks for AOAI modules
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learn-pr/wwl-data-ai/develop-applications-openai/1-introduction.yml

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description: Learn how to start using Azure OpenAI Service. This unit introduces possible use cases for Azure OpenAI Service.
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author: ivorb
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learn-pr/wwl-data-ai/develop-applications-openai/2-getting-started.yml

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description: This unit explains how to apply for access to Azure OpenAI Service and how to create an Azure OpenAI resource. This unit explains the first steps to working with Azure OpenAI Service.
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learn-pr/wwl-data-ai/develop-applications-openai/3-integrate-app.yml

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description: This unit lists the steps needed to configure your app to access the OpenAI service.
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learn-pr/wwl-data-ai/develop-applications-openai/4-prompt-engineering.yml

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description: This unit explains the process of designing and optimizing prompts to better utilize AI models.
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learn-pr/wwl-data-ai/develop-applications-openai/5-prompt-engineering-provide-context.yml

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description: This unit explains how to provide context to an Azure OpenAI model with prompt engineering.
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learn-pr/wwl-data-ai/develop-applications-openai/6-generating-code.yml

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description: This unit explains how to use OpenAI to write code, repair code, and document code.
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learn-pr/wwl-data-ai/develop-applications-openai/7-exercise.yml

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description: This unit contains a hands-on exercise. Learners can use the exercise to try out Azure OpenAI Service's prompt engineering capabilities.
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durationInMinutes: 20
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azureSandbox: false
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labId: 152393
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labModal: true
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content: |
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[!include[](includes/7-exercise.md)]

learn-pr/wwl-data-ai/develop-applications-openai/8-knowledge-check.yml

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description: This unit contains a knowledge check which can help learners reinforce their understanding of the material.
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learn-pr/wwl-data-ai/develop-applications-openai/9-summary.yml

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description: This unit summarizes the key concepts covered in the module, including using Azure AI Foundry, deploying models, and prompt engineering.
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Now it's your opportunity to deploy and manage a model in Azure AI Foundry. In this exercise, you deploy Azure OpenAI base models and test them in the Chat playground. You'll get a chance to explore the effects of prompts and parameters on text and code completions.
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> [!NOTE]
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> To complete this lab, you'll need an [Azure subscription](https://azure.microsoft.com/free?azure-portal=true).
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Launch the exercise and follow the instructions.
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To complete the exercise for this module, launch the VM and follow the instructions.
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[!INCLUDE [Lab note](../../../includes/wwl/launch-exercise-note.md)]
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If you'd like to follow these instructions on your own computer, you can follow the [exercise instructions here](https://aka.ms/openai-prompt-engineering-lab?azure-portal=true).
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[![Button to launch exercise.](../media/launch-exercise.png)](https://go.microsoft.com/fwlink/?linkid=2310824&azure-portal=true)
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> [!TIP]
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> After completing the exercise, if you're finished exploring Azure AI Services, delete the Azure resources that you created during the exercise.
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> After completing the exercise, if you're finished exploring Azure AI Services, delete the Azure resources that you created during the exercise.

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