Learn how to build an advanced AI agent using Azure Database for PostgreSQL and the new Microsoft Agent Framework. This hands-on lab walks you through integrating Retrieval-Augmented Generation (RAG), semantic re-ranking, Semantic Operators, and GraphRAG (using Apache AGE) to enable intelligent legal question-answering using real case data. Gain practical AI implementation skills with your own PostgreSQL-backed applications.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this hands-on lab, you’ll build a Knowledge Base using agentic RAG, the next evolution of retrieval in Azure AI Search. Connect your agentic retrieval engine to your data through smart source selection across multiple indexes and storage systems. Learn how to enhance planning using natural language guidance and generate grounded responses with citations or extractive answers tailored to your use case. By the end, you’ll have a fully functional Knowledge Base that responds over enterprise data.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this hands-on workshop, you’ll learn to build domain-specific AI agents with Foundry Agent Service. Starting from a simple agent, you’ll add system prompts, custom instructions, and knowledge with RAG. You’ll extend it with tool calling (like a pizza calculator) and connect external services via MCP for live menu and order handling. By the end, you’ll have a working Contoso PizzaBot that can answer questions, recommend pizzas, and manage orders.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Start building your next agent with the latest knowledge features from Azure AI Search. In this session, we will demo how to connect your agentic retrieval engine to new knowledge sources like Sharepoint, web and blob. We will also walk through new controls available to improve your RAG performance, across query planning, retrieval and answer generation. Join this code-focused breakout for samples and step-by-step guidance on connecting knowledge to your next agent.

Delivered in a silent stage breakout.

Looking to add on-device AI to your apps? Not sure how to get started? Join our lab to learn how to integrate local AI capabilities into your Windows apps using Windows AI APIs. Discover how to implement Semantic Search and Retrieval-Augmented Generation (RAG) to power intelligent information retrieval, and use Phi Silica for on-device text processing. This lab will walk you through key APIs, and best practices to build on-device AI solutions for Copilot+ PCs. Developers of all levels welcome.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this hands-on lab, you’ll build a Knowledge Base using agentic RAG, the next evolution of retrieval in Azure AI Search. Connect your agentic retrieval engine to your data through smart source selection across multiple indexes and storage systems. Learn how to enhance planning using natural language guidance and generate grounded responses with citations or extractive answers tailored to your use case. By the end, you’ll have a fully functional Knowledge Base that responds over enterprise data.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Learn how to implement agentic RAG in real-world enterprise workflows. Transform you enterprise through:

• Retrieval: How does a RAG agent decide when to search and which sources matter most for your specific question? • Generation: Using large language models, the system generates responses based on the information it has retrieved. • Autonomy: The system makes decisions about when to look for information, what actions to take, and how to handle multi-step tasks.

Learn how to build an advanced AI agent using Azure Database for PostgreSQL and Semantic Kernel. This hands-on lab walks you through integrating Retrieval-Augmented Generation (RAG), semantic re-ranking, Semantic Operators, and GraphRAG (using Apache AGE) to enable intelligent legal question answering using real case data. Gain practical AI implementation skills with your own PostgreSQL-backed applications.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join Microsoft’s product team for a hands-on lab where you'll design and deploy an AI-powered application using SQL Database in Microsoft Fabric. This session dives into HTAP capabilities, enabling seamless transactional and analytical processing. You'll provision a SaaS-native SQL Database, use Copilot to generate schema and queries, and implement advanced patterns like RAG with vector search. Walk away with practical skills and a working solution you can apply immediately.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Most enterprises sit on mountains of unstructured content that is hard to search and even harder to use in AI applications. In this session, join me in transforming raw content into enriched, searchable data using Azure AI Search with text extraction, entity recognition, and image analysis. Combined with vector search and Retrieval Augmented Generation (RAG) see how to build more relevant, trustworthy responses. Integrate and leverage the platforms to unlock entirely new AI-driven solutions.

In this hands-on workshop, you’ll learn to build domain-specific AI agents with Foundry Agent Service. Starting from a simple agent, you’ll add system prompts, custom instructions, and knowledge with RAG. You’ll extend it with tool calling (like a pizza calculator) and connect external services via MCP for live menu and order handling. By the end, you’ll have a working Contoso PizzaBot that can answer questions, recommend pizzas, and manage orders.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Dataverse holds rich, contextual business data that powers digital workers—intelligent agents that collaborate with humans in the flow of work. Learn how Model Context Protocol (MCP) enables secure, structured access to enterprise data, enhanced by semantic indexing, vector search, and retrieval-augmented generation (RAG). We’ll explore how to prepare data for agent-readiness and connect Dataverse and business files to Agent 365 for scalable, intelligent automation.

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Looking to add on-device AI to your apps? Not sure how to get started? Join our lab to learn how to integrate local AI capabilities into your Windows apps using Windows AI APIs. Discover how to implement Semantic Search and Retrieval-Augmented Generation (RAG) to power intelligent information retrieval, and use Phi Silica for on-device text processing. This lab will walk you through key APIs, and best practices to build on-device AI solutions for Copilot+ PCs. Developers of all levels welcome.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this hands-on lab, you’ll build a Knowledge Base using agentic RAG, the next evolution of retrieval in Azure AI Search. Connect your agentic retrieval engine to your data through smart source selection across multiple indexes and storage systems. Learn how to enhance planning using natural language guidance and generate grounded responses with citations or extractive answers tailored to your use case. By the end, you’ll have a fully functional Knowledge Base that responds over enterprise data.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Learn how to build an advanced AI agent using Azure Database for PostgreSQL and the new Microsoft Agent Framework. This hands-on lab walks you through integrating Retrieval-Augmented Generation (RAG), semantic re-ranking, Semantic Operators, and GraphRAG (using Apache AGE) to enable intelligent legal question-answering using real case data. Gain practical AI implementation skills with your own PostgreSQL-backed applications.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this hands-on workshop, you’ll learn to build domain-specific AI agents with Foundry Agent Service. Starting from a simple agent, you’ll add system prompts, custom instructions, and knowledge with RAG. You’ll extend it with tool calling (like a pizza calculator) and connect external services via MCP for live menu and order handling. By the end, you’ll have a working Contoso PizzaBot that can answer questions, recommend pizzas, and manage orders.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

This hands-on workshop teaches how to build and deploy intelligent AI agents for enterprise research using AI-Q NVIDIA Blueprint and NVIDIA Nemotron on Azure Kubernetes Service (AKS). Learn to leverage AI reasoning, multimodal data extraction, and retrieval-augmented generation to uncover actionable insights from enterprise data. Ideal for developers aiming to accelerate AI-driven knowledge discovery and decision-making.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join Microsoft’s product team for a hands-on lab where you'll design and deploy an AI-powered application using SQL Database in Microsoft Fabric. This session dives into HTAP capabilities, enabling seamless transactional and analytical processing. You'll provision a SaaS-native SQL Database, use Copilot to generate schema and queries, and implement advanced patterns like RAG with vector search. Walk away with practical skills and a working solution you can apply immediately.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Looking to add on-device AI to your apps? Not sure how to get started? Join our lab to learn how to integrate local AI capabilities into your Windows apps using Windows AI APIs. Discover how to implement Semantic Search and Retrieval-Augmented Generation (RAG) to power intelligent information retrieval, and use Phi Silica for on-device text processing. This lab will walk you through key APIs, and best practices to build on-device AI solutions for Copilot+ PCs. Developers of all levels welcome.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.