| | SESSION TYPE | CODE | TITLE | ABSTRACT | SESSION TYPE | SESSION LEVEL |
| Developer Tools & Frameworks | Breakout | BRK200 | Why your AI code doesn’t ship: Closing the gap to production | AI isn't just autocompleting your code anymore — it's writing plans, shipping PRs, fixing pipelines, and patching prod. In this demo-heavy session, we'll show AI agents working across the entire dev lifecycle: planning, coding, CI/CD, and live operations. You'll see how to move faster, keep agents on a leash, and build systems that fix themselves. | Breakout | (300) Advanced |
| Breakout | BRK203 | From CLI to PR: Automating the path to merged code | Everyone talks about agents, but the real challenge is applying them to daily sprints. Moving beyond chat, we'll show how GitHub Copilot functions as an agentic partner in your workflow by live-coding a full cycle—from planning in the terminal to delegating work to the cloud and automating PR reviews. No high-level abstractions here. Just technical mechanics: context management, advanced features with Copilot CLI, and the patterns that make agentic workflows actually stick. | Breakout | (400) Expert |
| Breakout | BRK206 | Your agent, anywhere: MultiClient, MultiDevice with GitHub Copilot SDK | Agents are powerful on your machine, but what happens when you need them everywhere else? In this session, we'll show how GitHub Copilot SDK lets you build an agent, embed it in an app, and take it with you across devices and into the cloud. You'll see how to go from a local agent to one you can access on your phone, move between machines, and run across multiple clients. If you've been working with agents locally and wondering what the next step looks like, this is it. | Breakout | (300) Advanced |
| Lab | LAB501 | From zero to deployed on Azure with AI agents | What happens when you let AI agents do the building? In this hands-on lab, you'll go from an empty terminal to a deployed app on Azure — with GitHub Copilot CLI and coding agents handling the scaffolding, coding, debugging, and deployment. You'll use the new Azure skills to provision resources and wire up services through natural language, no portal required. This isn't a demo you watch. You'll walk out with a real, working dev workflow you can take straight to your next project. | Lab | (300) Advanced |
| Cloud Platform & Data | Breakout | BRK221 | Idea to production-ready agent in seconds on AI-native runtime | Agentic apps behave differently from traditional services. They make decisions, coordinate steps, and react to changing inputs. This session shows how to run agentic workloads on a fast, AI native runtime on Azure Container Apps. The focus is on reliability and speed so you can move from idea to production‑ready agents. We’ll cover patterns for deployment, configuration, safe scaling for bursty traffic, and observability so teams can run agentic systems in production without surprises. | Breakout | (300) Advanced |
| Breakout | BRK222 | The honest practitioner's take on agentic AI on Kubernetes | Agentic AI workloads don't behave like normal services. They're stateful, bursty, multi-step, and often span more than a single cluster. Most teams figure this out the hard way. This session is for developers building agentic AI in production. We'll show you how to get the most out of Kubernetes for training, inference, and agent orchestration, covering purpose-built tooling, managed options, open-source inference at scale, and AI-assisted dev tools that support real-world AI operations. | Breakout | (300) Advanced |
| Breakout | BRK223 | From rows to reasoning: Designing databases for AI apps and agents | AI applications and agents require data platforms designed for reasoning, not just transactions. Traditional architectures force developers to stitch data systems together, adding latency and complexity. In this demo‑rich session, we’ll show the latest innovations in SQL Database and Cosmos DB, then build an app on Azure HorizonDB, Azure’s new cloud‑native PostgreSQL service, to show how AI apps built directly in the database simplifies design and enables reasoning over operational data. | Breakout | (300) Advanced |
| Lab | LAB512 | Hands-on with the latest Cobalt VMs – from code to cloud deployment | Roll up your sleeves and get hands-on with the latest Azure Cobalt VMs. Provision your first Cobalt VM and explore what makes Arm tick in the Cloud. From there you'll build multi-arch container images with Docker, push them to ACR, and deploy to AKS clusters running on Cobalt VMs. Next, wire up a CI/CD pipeline that builds, tests, and deploys to Arm. Then go further—deploy a full-stack web app and serve AI predictions using ONNX Runtime on Arm. Walk out ready to build on Cobalt VMs. | Lab | (200) Intermediate |
| Working with Models | Breakout | BRK230 | Confident model selection and integration with Microsoft Foundry | Discover how to quickly choose, integrate, and validate AI models inside Microsoft Foundry. Learn techniques for navigating thousands of model options, benchmarking performance, and streamlining your workflow with deep IDE support. Build faster, ship smarter, and stay on top of the evolving AI landscape. | Breakout | (300) Advanced |
| Breakout | BRK231 | Deploy. Observe. Learn. Reinforcement learning for production agents | Agents don't fail in demos — they fail in production. In this breakout, see how teams use fine-tuning and reinforcement learning on Microsoft Foundry to improve production agents using real usage signals. We cover when fine-tuning reduces cost and latency, when RL delivers deeper gains, and how Foundry makes it easy to train, evaluate, and redeploy safely. Johnson & Johnson shares their journey from RL experiments to production. | Breakout | (200) Intermediate |
| Lab | LAB520 | Get Started with Models in Microsoft Foundry to Build AI Apps | In this hands-on lab, you will build a production-ready AI application using Microsoft Foundry, with no fine-tuning or deep machine learning expertise required. You will discover and select models, provision a Foundry project, and connect to a hosted model using the OpenAI SDK. You’ll implement a comment moderation workflow, compare model outputs, and package the solution as a hosted agent using Python, ready for real-world integration. | Lab | (300) Advanced |
| Agents & Apps | Breakout | BRK240 | Build context‑aware agents at scale with Microsoft IQ | High performance agents are built on intelligence that brings together context, enterprise data, orchestration, and governance. Learn how Foundry IQ, Fabric IQ, and Work IQ provide the enterprise intelligence layer for AI agents. Design agents that can search across organizational knowledge, reason over business data, and operate with awareness of people and work signals. Take action within trusted boundaries, providing a practical foundation for building scalable and reliable agents. | Breakout | (200) Intermediate |
| Breakout | BRK241 | Build and host enterprise-grade AI agents with Microsoft Foundry | AI agents are transforming how developers build software—but shipping production-grade agents demands more. This session walks through the end-to-end lifecycle of building AI agents with Foundry Agent Service and Microsoft Agent Framework. See how to go from local prototyping to enterprise-grade hosted deployment with identity, secure networking, evaluations, and lifecycle management. Learn how coding agents like GitHub Copilot integrate directly into the workflow. | Breakout | (300) Advanced |
| Breakout | BRK243 | Claw agents and multi-agent systems on Foundry | Go deep on multi-agent systems built on Microsoft Foundry, featuring Claw agent patterns and the hosted agents architecture. Explore long-running agents with triggers, state management, and file access—all natively supported on Foundry. See how coding agents built with GitHub Copilot SDK and Claude Agent SDK integrate into multi-agent workflows using Microsoft Agent Framework. Learn how to coordinate, host, and operate these systems with observability and continuous evals. | Breakout | (400) Expert |
| Responsible AI | Breakout | BRK252 | Observability for AI agents on any framework | Nondeterministic, multi-agent systems break traditional monitoring. As agents move into production, developers need observability built into the workflow, not bolted on after failures. This session explores what modern observability looks like for AI agents: how tracing and evaluation must work across any framework, why the inner loop deserves the same rigor as the outer, how context-specific evals evolve with your agent, and how always-on signals tie behavior to business outcomes. | Breakout | (300) Advanced |
| Lab | LAB540 | Observe, optimize and protect your hosted agents in Microsoft Foundry | Modern agents fail in ways traditional monitoring can’t catch. In this hands-on lab, learn how Microsoft Foundry Observability helps you move from prototype → production with context-specific evaluation suites (auto-generated evaluators + test datasets) wired into developer workflows via skills/MCP tooling for hosted agents. Then scale quality with continuous evaluation, trace-linked analysis, and adaptive red teaming—and walk away with a sandbox to explore additional features on your own. | Lab | (300) Advanced |
Log in
