Azure Decoded

8:00 下午 - 9:00 下午 (UTC)

Ready to build AI that actually does things? In this hands-on session, Aaron Stark walks you through creating your first AI agent using Microsoft Foundry—Microsoft’s unified platform for building, deploying, and managing AI applications. You’ll learn how to move beyond simple chat completions to agents that can reason, plan, and take action. We’ll cover the core concepts of agentic AI, explore Microsoft Foundry’s agent capabilities, and build a working agent live—from prompt engineering to tool integration to deployment. Whether you’re an AI-curious developer or already building with Azure OpenAI, this session gives you the practical skills to start building agents that can transform how your applications interact with the world. What you’ll learn: What makes an AI agent different from a chatbot Microsoft Foundry’s agent development capabilities How to design agent workflows with reasoning and tool use Connecting agents to external data and APIs Best practices for testing and deploying agents in production

8:00 下午 - 9:00 下午 (UTC)

Migration isn’t just “move it to Azure.” In this Azure Decoded session, we’ll walk through a holistic, foundation-first approach to migrating and modernizing an on-prem estate — compute, databases, and apps — and then show what to do after you land: security, resiliency, monitoring, and optimization. We’ll also highlight where newer “agentic” capabilities (Azure Copilot / GitHub Copilot–assisted workflows) fit into the journey, and how the new Migrate & Modernize Foundation VTD is structured to help practitioners pick the right path without drowning in theory. What you’ll learn: Choose the right migration path. (rehost vs. replatform vs. refactor/re-architect) and see how CAF + landing zones and Azure Migrate fit into a practical plan. Map your workload mix to Azure targets — VM/AVS options for compute, and clear choices across SQL/Oracle/PostgreSQL/MySQL migration approaches and tooling. Modernize after the move: how to prioritize security + resiliency (e.g., Defender for Cloud concepts), plus the operational basics (monitoring, scaling, backup/DR) so the migration actually sticks. Explore other related events

8:00 下午 - 9:00 下午 (UTC)

One agent is powerful. Multiple agents working together? That's transformational. In this session, we explore multi-agent orchestration patterns: how to design agent teams, delegate tasks, and coordinate complex workflows. Using Microsoft Agent Framework and Microsoft Foundry, you'll see how to build agent systems that divide and conquer problems too complex for a single agent. What you'll learn: • When single agents aren't enough (and when they are) • Multi-agent architecture patterns: delegation, collaboration, debate • Building agent teams with Microsoft Agent Framework • Coordinating complex workflows across agents • Real-world use cases: research assistants, code review teams, customer service escalation Who should attend: Developers who've built their first agent and want to scale up to multi-agent solutions. Explore the Learn paths: Build a foundation to build AI agents and extend Microsoft 365 Copilot Develop AI agents on Azure

7:00 下午 - 8:00 下午 (UTC)

The Migrate & Modernize Summit is where Microsoft brings together the latest thinking on how to move faster on Azure — using AI‑powered, agentic approaches to modernize infrastructure, databases, and applications. In this Azure Decoded episode, you’ll get a sneak peek at what’s coming: the key themes you’ll hear across Summit keynotes and breakouts, the real‑world migration and modernization scenarios being spotlighted, and why this event matters if you’re planning your next move to Azure. We’ll also highlight the skilling opportunities connected to the Summit, including the Migrate & Modernize Foundations Virtual Training Day, so you’ll know how to get ready, what to focus on during the event, and how to turn what you learn into action afterward. What you’ll learn: What to expect at the Migrate & Modernize Summit — key themes like agentic AI, Azure Copilot, Azure Migrate, and modernization pathways across compute, data, and apps. How Microsoft approaches migration and modernization today — from assessment and planning to modernization, security, and optimization after the move. How to skill up before and after the Summit — including how the Migrate & Modernize Foundations VTD and learning paths help turn Summit insights into hands‑on capability. Explore the Learn Path Azure Skilling - Build Your Azure Migrate and Modernize Skills Microsoft Azure Summit: Migrate and Modernize with Agentic AI

7:00 下午 - 8:00 下午 (UTC)

Start your journey to secure AI workloads in the cloud. Learn how Defender for Cloud provides foundational protection for your AI solutions and why it’s essential for modern security strategies. What you’ll learn: Identify the layers that make up AI workloads in Azure Recognize security risks unique to AI, including prompt injection, data leakage, and model misuse Explain how Microsoft Foundry provides guardrails and observability for AI models Describe how Microsoft Defender for Cloud, Microsoft Purview, and Microsoft Entra ID work together to secure and govern AI workloads Summarize how these services align to create a unified, defense-in-depth strategy for AI security in Azure Who should attend: Developers, Security Engineers, and technical professionals who want to learn how Defender for Cloud provides foundational protection for AI solutions and why it’s essential for modern security strategies. Enable threat protection for AI services Defender for Cloud - AI threat protection

7:00 下午 - 8:00 下午 (UTC)

In this session, you’ll learn how Azure Databricks, Microsoft Fabric, and OneLake come together to deliver a unified, modern Lakehouse architecture. We’ll walk through how data flows seamlessly between platforms, how metadata stays consistent, and how shared governance is enforced end‑to‑end using Unity Catalog and Microsoft Purview. You’ll see how security, lineage, and access controls extend across both ecosystems—enabling teams to operate with a single governance framework while taking advantage of each platform’s strengths. What you’ll learn: How Azure Databricks, Microsoft Fabric, and OneLake align to deliver a cohesive Lakehouse architecture. How unified governance works across both platforms using Unity Catalog and Microsoft Purview. Practical patterns for integrating Databricks and Fabric, including cross-platform data sharing and metadata consistency. Who should attend: Developers, solution architects, and technical professionals who want to prepare for DP-750 Azure Databricks Data Engineer certification. Secure Unity Catalog objects Govern Unity Catalog objects

7:00 下午 - 8:00 下午 (UTC)

In this episode of Azure Decoded, our team breaks down what Fabric IQ unlocks: a shared semantic foundation that helps teams and AI reason over data. You’ll see a practical demo of how Fabric IQ unifies business semantics across data, models, and rules; then powers data agents that ground natural-language questions in consistent definitions of entities, relationships, and metrics for more trustworthy answers. We’ll also cover how these agents can be used inside and outside Fabric (including via Microsoft Foundry), so data engineers, developers, and AI devs can move faster from insight to action with less prompt wrangling. What you’ll learn: • How Fabric IQ creates a shared semantic foundation that unifies business entities, relationships, and metrics across data, models, and systems • How to build and use Fabric IQ–powered data agents that ground natural‑language questions in business context and return more accurate, trustworthy insights across tabular, graph, and real‑time data. • How to apply Fabric IQ in real-world developer workflows, including a live demo showing how data engineers and AI developers can move faster from data to decisions using Fabric, Foundry, and agent-ready architectures. Who should attend: Developers, AI Developers, Data Engineers, solution architects, and technical professionals Understand Microsoft Fabric IQ fundamentals