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Microsoft Aitour Build Your First Agent With Azure Ai Agent Service Ghloc

Microsoft Aitour Build Your First Agent With Azure Ai Agent Service Ghloc
Microsoft Aitour Build Your First Agent With Azure Ai Agent Service Ghloc

Microsoft Aitour Build Your First Agent With Azure Ai Agent Service Ghloc By the end of this workshop, you will learn to build an agent app using azure ai foundry agent service, explore its tools, and effectively use instructions to guide the llm. The foundry agent service offers a fully managed cloud service with sdks for python, c#, and typescript. it simplifies ai agent development, reducing complex tasks like function calling to just a few lines of code.

Activity Microsoft Aitour Build Your First Agent With Azure Ai Agent
Activity Microsoft Aitour Build Your First Agent With Azure Ai Agent

Activity Microsoft Aitour Build Your First Agent With Azure Ai Agent A self guided workshop on building an agent using the azure ai agent service and the python sdk. This document provides a comprehensive overview of the azure ai agent service workshop repository, which demonstrates how to build a conversational ai agent using the azure ai agent service. This workshop demonstrates how to leverage the azure ai agent service to create a robust conversational agent capable of answering sales related questions, performing data analysis, generating visualizations, and integrating external data sources for enhanced insights. When this lab is delivered during ai tour, the skillable platform provides a temporary azure account for each participant to use. after logging in, the environment provides a set of lab instructions, the launching point for the lab content.

Microsoft Build Your First Agent With Azure Ai Agent Service Workshop
Microsoft Build Your First Agent With Azure Ai Agent Service Workshop

Microsoft Build Your First Agent With Azure Ai Agent Service Workshop This workshop demonstrates how to leverage the azure ai agent service to create a robust conversational agent capable of answering sales related questions, performing data analysis, generating visualizations, and integrating external data sources for enhanced insights. When this lab is delivered during ai tour, the skillable platform provides a temporary azure account for each participant to use. after logging in, the environment provides a set of lab instructions, the launching point for the lab content. The instructions for this workshop are published to github pages at aka.ms aitour wrk552. this folder docs contains the source code for those instructions. these instructions are written using mkdocs, and mkdocs commands are installed in this dev container. for full documentation visit mkdocs.org. At a recent hands on workshop at the azure ai foundry partner council, we explored how to build an agent application using azure ai agent service, leveraging its powerful tools and sdks to simplify ai development. This workshop is designed to teach you about the azure ai agents service and the python sdk. it consists of multiple labs, each highlighting a specific feature of the azure ai agents service. In this blog you will learn how to deploy your first azure ai agent service on azure app service, following a complete end to end process that begins with setting up an ai hub in azure ai foundry, deploying a gpt 4o model, and creating your ai agent with specific instructions and tools.

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