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.

This lab provides a comprehensive overview of building, deploying, and securing AI agents. We will start by creating a single agent with Azure Functions and Foundry Agent Service in Microsoft Foundry, then enhance it with Model Context Protocol (MCP) and add data grounding with Azure Cosmos DB. You will also combine the single agents to form a multi-agent system. You will then deploy, manage and secure the application on a Flex Consumption plan.

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.

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.

This hands-on lab guides you through how developers and partners can build solutions, agents and extensibility features that can be delivered through Dragon Copilot, leveraging Microsoft’s scale to expand reach and engagement.

In this hands-on lab, discover how to govern AI Apps & Agents using AI Gateway in Azure API Management. Learn to apply governance best practices by onboarding AI models, monitoring and controlling token usage, enforcing safety and compliance, and boosting performance with semantic caching. You’ll also govern MCP-based agent architectures by creating secure, efficient servers from APIs or connecting to backend MCP servers, equipping you to deliver responsible, resilient AI solutions at scale.

Explore insider risk management and adaptive protection with Microsoft Purview. In this lab you will learn how to configure policies to detect and respond to internal threats and apply dynamic protection based on user risk levels.

Build a smarter image classification app with Windows ML, now available generally available. This hands-on lab walks through dynamically downloading execution providers (EPs) for NPUs, compiling models for hardware-specific EPs, and running inference locally. Learn to deploy, debug, and optimize your app using WinML APIs. Ideal for developers exploring AI acceleration on Windows devices—no pre-distributed EPs required.

As manufacturers and supply chain leaders navigate the dual pressures of operational efficiency and sustainability, geospatial intelligence (GSI) is emerging as a transformative force. This lab session explores how the integration of Earth observation data, AI, and cloud-scale analytics is enabling smarter, faster, and greener decision-making across industrial ecosystems.

This lab introduces key data classification and protection tools in Microsoft Purview. Participants learn to create and customize sensitive information types to identify sensitive data, and apply sensitivity labels to enforce encryption, access controls, and content marking. Gain hands-on experience in building and managing policies that secure data across Microsoft 365.

Build a multi-agent application leveraging MCP (Model Context Protocol) with the Microsoft Agent Framework in C# or LangGraph in Python, integrated with Azure Cosmos DB for scalable and high-performance data persistence and retrieval. Define agents, functions, and external service integrations, implement memory, state management, and semantic search using Azure Cosmos DB. By the end, you’ll have a robust AI agent system designed for real-world applications.

Build confidence in managing AKS at scale with next‑gen ops tools. In this hands‑on lab, you’ll simulate a production service hit by traffic spikes, discover how AI‑driven alerts surface hidden bottlenecks, and deploy agents that self‑heal nodes. Using open‑source tools and the aks‑mcp server, you can automate cluster scaling, patch management, and real‑time troubleshooting—letting the AI orchestrate Kubernetes and Azure resources with natural‑language commands and pre‑built MCP integrations.

This lab guides participants through configuring Data Loss Prevention (DLP) policies using Microsoft Purview. Learn how to identify sensitive data, apply policy templates, and enforce protection across Microsoft 365 services. By the end, you will be able to review policy matches, refine rules, and ensure compliance with organizational data protection standards.

In this lab, you'll get hands-on with the AI Toolkit (AITK) and Microsoft Foundry in VS Code to explore and compare the latest multimodal and reasoning models from the Model Catalog. Learn how to augment models for a real-world business scenario, using prompt and context engineering. Prototype an agent using the AITK Agent Builder, and equip the agent with the right tools via the Model context Protocol (MCP).

This hands-on workshop will introduce participants to the fundamentals of automated AI red teaming generative AI systems for safety and security risks using Microsoft Foundry. Attendees will learn how to apply automated attack techniques to identify safety issues and security vulnerabilities across multiple risk dimensions before deployment. Participants will engage in hands-on walkthroughs and guided exercises to apply these concepts in realistic development scenarios.

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.

Take a motivational tour through the healthcare AI sample repository and set yourself up for success with multimodal AI for Health & Life Sciences. Dive into notebooks and sample solutions for problems like image search, cancer grading based on radiology and pathology images, outlier detection, and exam parameter classification. Deploy a model, plug it into an agentic flow, and evaluate it with human feedback. A hands-on journey from setup to deployment and refinement.

Learn how Cisco collaboration devices and Microsoft Teams combine to deliver smarter, AI-driven collaboration in your workspaces. We'll highlight how to improve workplace efficiency and employee engagement by integrating advanced AI capabilities with Cisco's intuitive collaboration devices. Experience how these tools create a seamless experience for employees, whether working in the office or remotely, and why this integration is a game-changer for today's work.

AI agents run on non-human identities: service principals, managed identities, tokens. If you can’t see them, you can’t govern them. Oasis gives Microsoft-native guardrails: discover every agent across Entra, Azure, M365, and GitHub; right-size roles; eliminate long-lived secrets; and automate lifecycle with owners, purpose, TTL, rotation, and evidence. Same developer speed, far less standing privilege.

IT teams today are under constant pressure to do more with less. TeamViewer AI improves efficiency through autonomous action — detecting, diagnosing and resolving IT issues with minimal oversight. The result: faster resolution, lower ticket costs and proactive prevention all leading to a frictionless digital environment. See how partnering TeamViewer AI with Microsoft prepares enterprises for an autonomous future.

With Eon on Azure, backups don’t just sit idle—they become a first-class data source. Eon transforms cloud backups into Iceberg tables in Blob Storage, instantly queryable through Microsoft Fabric and OneLake. Learn how backup data flows into Fabric engines like SQL, Spark, and KQL, and how it fuels AI innovation with Azure OpenAI. See how organizations can collaborate more effectively by unifying protection, analytics, and AI on Eon’s data lake.

Whether you're building a chat application, a RAG system, or other AI tools, monitoring remains crucial. We'll show you how Datadog's comprehensive Azure monitoring can help you:

• Get started with PostgresSQL on Azure • Track PostgreSQL performance metrics that matter for GenAI workloads • Create dashboards and alerts that provide meaningful insights

Unlock the next level of performance and scalability with Azure Databases—engineered for speed, reliability, and seamless integration across your stack. At Ignite, Shireesh Thota, CVP of Azure Databases, will unveil breakthrough features and releases for Azure Databases, SQL Server 2025, and Fabric Databases for SQL and Cosmos DB. Get an inside look at how these advancements empower you to build and deploy cutting-edge applications and AI agents—faster, smarter, and at enterprise scale.

In this 10-minute Microsoft Ignite broadcast, PwC leaders Jim Randall and Dan Priest discuss how PwC is helping clients responsibly scale AI while transforming its own operations through one of the world’s largest Copilot deployments. Dan outlines PwC’s external AI strategy and the role of Microsoft Copilot in enabling trusted, measurable, enterprise-wide value; Jim then shares insights from PwC’s 230,000-user global Copilot rollout.

Slalom shows how enterprises can transform the SDLC by giving GitHub Copilot a “memory bank” of project context, standards, and design rules. Learn how context frameworks, Mermaid diagrams, and MCP servers help Copilot deliver code aligned with enterprise practices. We’ll share real-world results, including how one client boosted code quality and consistency through this approach.