In this lab, you’ll work through four hands-on exercises designed to build your skills with Azure and intelligent app development. Below is an overview of each exercise:
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Exercise 1 - Get started with intelligent app development by learning to use the Azure OpenAI SDK to call the Chat Completions API, leveraging the GPT-4 model and deploy to Azure App Service.
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Exercise 2 - Learn how to integrate the Semantic Kernel into your application to interact seamlessly with Azure OpenAI services and deploy to Azure App Service.
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Exercise 3 - Explore the sidecar extensibility feature in Azure App Service. You’ll add an OpenTelemetry (OTEL) sidecar to the app deployed in Exercise 1 for enhanced observability.
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Exercise 4 - Discover the power and advantages of Small Language Models (SLMs) by building an intelligent app with Phi3 as a sidecar.
To get started, fork this repository to your GitHub account. Detailed instructions for each exercise are available in the LabInstructions folder.
Happy learning!