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Explore how to leverage multi-agent systems in your applications to optimize operations, automate recommendations, and enhance customer experience. The solution utilizes Microsoft Agent Framework, OpenAI ChatKit and NVIDIA Nemotron model on Azure AI Foundry to seamlessly connect with store databases, integrate human oversight, and deploy scalable chat agents. This approach enables real-time analytics, predictive insights, and personalized interactions, resulting in improved decision-making, operational efficiency, and a superior user experience for application developers and users 📌 This episode is a part of a series. Learn more: https://aka.ms/AIAgentsApps/y-MSFT 00:06 - Welcome & Housekeeping 01:04 - Introduction to AI Apps & Agents Dev Days 02:29 - Agenda Overview: Agents, Frameworks & Blueprints 04:55 - What Are AI Agents? Key Concepts Explained 07:10 - Why Agentic Workflows? Specialization vs. Single Model 09:18 - Building Agents with Microsoft Agent Framework 12:01 - Options for Agent Deployment: IaaS, PaaS & SaaS 16:07 - Workflow Patterns: Sequential, Concurrent & Advanced 19:22 - Tools & Memory in Agent Framework 23:00 - Enterprise-Ready Features: Telemetry & Security 23:51 - Demo: Building Your First Agent with AI Toolkit 28:25 - NVIDIA AI Blueprints: Getting Started 33:04 - Under the Hood: Models, NIM Containers & Deployment 38:35 - Real-World Integration: From Workflow to App 47:20 - Structured Output vs. Text Output in Agents 50:39 - How to Get Started & Resources 52:50 - Upcoming Episodes & Closing Remarks #microsoftreactor #learnconnectbuild [eventID:26557]