{"repo":"microsoft/ignite25-PREL13-observe-manage-and-scale-agentic-ai-apps-with-microsoft-foundry","free":true,"listed":false,"github":"https://github.com/microsoft/ignite25-PREL13-observe-manage-and-scale-agentic-ai-apps-with-microsoft-foundry","clone":"git clone https://github.com/microsoft/ignite25-PREL13-observe-manage-and-scale-agentic-ai-apps-with-microsoft-foundry.git","description":"Learn How To Observe, Manage, and Scale, Agentic AI Apps Using Azure AI Foundry - with this hands-on workshop","language":"Jupyter Notebook","stars":45,"topics":["agent-evaluation","aiops","azure-ai-foundry","azure-ai-foundry-models","azure-ai-search","azure-openai","distillation-model","observability","quality-evaluation","safety-evaluation"],"license":"MIT","category":"analytics","readme_excerpt":"Microsoft Ignite 2025 Learn how to observe, manage, and scale agentic AI apps using Azure [!IMPORTANT] Check out the msignite2025-v1.0 release tag to see the exact version of this lab that was delivered at Microsoft Ignite 2025. The main line may be getting a refresh soon to reflect the latest changes and feature updates from Microsoft Ignite. Session Description This hands-on workshop will provide participants with the skills to effectively manage, govern, and scale agentic AI applications using Azure and Azure AI Foundry. The session will cover observability capabilities, model management policies, agent functionalities, and governance strategies. Participants will engage in practical exercises to apply these concepts in real-world scenarios. - Level: 300-400 - Duration: 4 hours Application Scenario Imagine this. You are an AI engineer at Zava, an enterprise retail store specializing in home improvement goods for DIY enthusiasts. Your team is building Cora , a shopping assistant AI to answer customer queries in-store and online. You have three requirements: 1. The solution must reflect the Zava brand with a custom tone & style 1. It should be cost-effective to deploy given the simple, narrow task 1. It should support end-to-end observability to ensure trustworthy AI 🧠 Learning Outcomes By the end of this session, you will be able to - Build and deploy an agentic AI retail chatbot on Azure AI Foundry - Evaluate the quality, safety & agentic efficacy of chatbot operation - F","default_branch":null,"files":null,"tree":[],"storefront":"/r/microsoft","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/microsoft/ignite25-PREL13-observe-manage-and-scale-agentic-ai-apps-with-microsoft-foundry/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}