10:00 ÖS - 11:00 ÖS (UTC)

The Azure AI Agent Service is a seamless blend of service and SDK that simplifies the development of robust AI-driven solutions. In this session, you'll learn how to build your own code-first AI agent with Azure and C# that can answer questions, perform data analysis, and integrate external data sources. You'll also explore more complex architectures, including multiple agents working together. Follow along: Create agentic AI solutions by using Azure AI Foundry Practical Foundation for AI Agents: A Developer's Guide on Azure AI Foundry, Apps, and Data

7:00 ÖS - 8:00 ÖS (UTC)

In this session we will share some of the most exciting developments on the .NET platform around Agents. Discover the current status of .NET, including its new features and enhancements. Explore the powerful AI Agent capabilities. And we will do some live coding with Agents and.NET Aspire.

11:00 ÖÖ - 12:00 ÖS (UTC)

We will walk you through a multi-agent application in C# that is built on top of the Semantic Kernel framework. You will understand the concepts behind agentic applications, understand the implementation details and nuances, and learn how to integrate Azure Cosmos DB as the database for various use-cases. Learn Module

7:00 ÖS - 8:00 ÖS (UTC)

Unlock the power of AI by constructing an AI agent from the ground up using T-SQL, without altering your existing applications. This hands-on session will guide you through the entire process of building an AI agent from scratch, providing you with a deep understanding of how AI agents function. Additionally, we’ll explore alternative approaches for greenfield applications by implementing the same solution using Semantic Kernel and .NET. By the end of this session, you will possess a comprehensive grasp of AI agents and practical skills to enhance your data with advanced AI capabilities efficiently.

10:00 ÖS - 11:00 ÖS (UTC)

This session explores patterns for modern RAG applications to bring together diverse data sources such as Blob Storage, SQL, Cosmos DB, and PostgreSQL. We will work through three primary patterns: indexing all data to conform to same schema (with Azure AI Search), consolidating into a single store (with Fabric), and finally, using multi-agent orchestrations. Follow along: Create agentic AI solutions by using Azure AI Foundry

7:00 ÖS - 8:00 ÖS (UTC)

Following chat bots, voice agents/bots have become the latest craze. Imagine the convenience of conversing with an AI agent that interacts like a human and efficiently assists you in placing orders or resolving queries. In this session, we will guide you through the process of creating a voice agent using the latest GPT-4o Realtime API for speech and Azure Communication Services.