LivestreamAI Agents That Know Your Business (Option 2)
What if your AI agents actually understood your business?
Trusted data, governed semantics, and business context can turn generic AI into experiences grounded in the way your organization really works. The result: answers and insights that are more relevant, more useful, and ready to put to work.
Registration and detailsLivestream.NET Conf 2026 Day 2
Join us for an applied deep dive with product teams from across Microsoft and learn how to get the most out of .NET at scale. Explore practical guidance for building secure, cloud-native applications with Azure, AI, testing, and containers—and take away proven techniques you can apply to modern development projects.
Registration and detailsLivestreamDon’t Just Study. Prepare to Pass. (Option 1)
What does it really take to prepare for a certification exam? We go straight to people who’ve taken and passed exam after exam.
We’re talking study strategies, favorite resources, what’s actually worth your time, what isn’t, and the mistakes they wouldn’t make twice.
Steal their best strategies, learn from the mistakes they wouldn’t make twice, and make whatever exam comes next a little less painful and a lot more prepared.
For more information on Data Days and all it has to offer, visit https://aka.ms/DataDays
Explore certification resources at https://aka.ms/dd/Cert
Registration and detailsLivestreamCopilot como tu primer asistente de IA: diseña un asistente para una tarea real
¿Qué pasaría si no tuvieras que explicarle a Copilot desde cero lo que necesitas cada vez que trabajas con él?
En esta sesión práctica aprenderemos a diseñar un asistente de IA especializado utilizando Microsoft Copilot. Partiremos de una necesidad concreta y construiremos paso a paso su propósito, contexto, instrucciones, tareas, límites y resultados esperados.
Trabajaremos con una estructura sencilla: Propósito → Rol → Contexto → Instrucciones → Tareas → Límites → Resultado esperado El objetivo no será construir un agente autónomo complejo, sino comprender y experimentar con los elementos fundamentales que necesitamos para convertir Copilot en un asistente diseñado para un propósito específico.
Registration and detailsHybridUpdate Conference Prague 2026
Update Conference Prague 2026Registration and detailsLivestreamGitHub Copilot Budgets and Tokenomics: Room to Build, No Bill Shock
GitHub Copilot has grown from an assistant in your editor into a set of agents that can work through multi-step tasks across your repositories, and the bill has changed to match.
Copilot is now billed on what you actually use, measured in AI credits and driven by tokens. The models your developers choose, how much context they send and how long their agents run all show up on the invoice.
In this New Breakpoint episode, host Michelle Sandford is joined by Scott Holden from Microsoft Australia to explain Copilot tokenomics. Scott will walk through how the shared credit pool works and what actually drives cost. He'll also show how to set up budgets so they really cap spending instead of just sending alerts.
Live in the GitHub billing settings, you'll see user, cost centre and enterprise budgets side by side, along with how to spot runaway agent usage early. Scott will also cover what developers see when they reach a limit.
Whether you're a developer, an engineering leader, a GitHub admin or the person finance asks about the Copilot bill, you'll leave knowing how to give your teams room to build without any surprises at the end of the month.
In this session you'll learn:
How usage-based billing and AI credits work, and what still comes free with every Copilot seat
Copilot tokenomics: why model choice, context size and agent sessions change what you pay
How to set budgets that cap spending, and the default settings worth checking today
How to monitor usage, find spikes and give power users more room without blowing the budget
How to talk about Copilot spend and value with finance
Speakers
Michelle Sandford, Microsoft Developer Engagement Lead, Australia, New Zealand and Asia.
Scott Holden, Microsoft Australia Solution Engineering Manager.
Join us live and post your questions in the chat. Michelle and Scott will answer them during the show.
Registration and detailsLivestreamAI Genius | Operate & Scale: Self-Healing ZeroOps and Enterprise-Wide Modernization
From legacy modernization to AI operations: Modernize applications and operate AI systems at scale with self-healing agents and enterprise-grade operational intelligence
Session Introduction
Modernizing legacy applications at scale is only half the journey — the AI systems that follow demand continuous monitoring, rapid incident response, and dependable day-to-day operations, all without adding engineering burden.
In this session, you’ll follow that path end to end: modernize legacy applications with automated, reviewable upgrades, then operate and scale AI systems using self-healing agents and enterprise-grade operational intelligence. You’ll see how AI can streamline large-scale application updates, connect runtime signals to remediation, and make complex operational work easier to review and govern.
You Will Learn
• How to scale legacy application assessments and upgrades with Copilot Modernize CLI
• How stacked pull requests can make large automated migrations easier to review
• How the Azure SRE Agent can help diagnose issues and propose tested remediations
• How to track operational impact using token efficiency, recovery time, and acceptance signals
Technologies Used
• Azure SRE Agent
• Copilot App Modernization Agent & Modernize CLI
• Stacked Pull Requests
• Human-in-the-Loop Governance Patterns
Who Should Attend
• Teams modernizing legacy applications across multiple repositories
• Developers and platform engineers operating AI systems in production
• Site reliability and DevOps teams exploring agent-assisted remediation
• Technology leaders focused on scalable, resilient AI operations
Registration and detailsLivestreamAI Genius - Episode 3 | 레거시 현대화에서 AI 운영까지
세션 소개
레거시 애플리케이션 현대화에서 한 단계 더 나아가, 이제 AI 시스템을 안정적으로 운영하고 확장할 차례입니다. 지속적인 모니터링과 신속한 인시던트 대응, 안정적인 일상 운영까지 엔지니어링 부담을 늘리지 않으면서 지원할 수 있어야 합니다.
이 세션에서는 레거시 애플리케이션 현대화부터 AI 시스템의 운영과 확장까지 전체 과정을 살펴봅니다. 자동화된 업그레이드, 셀프 힐링 에이전트, 엔터프라이즈급 운영 인텔리전스를 활용해 대규모 업데이트를 효율화하고, 런타임 신호를 문제 해결로 연결하며, 복잡한 운영을 효과적으로 관리하는 방법을 알아봅니다.
주요 학습 내용
Copilot Modernize CLI를 활용해 레거시 애플리케이션 평가와 업그레이드를 확장하는 방법
Stacked Pull Requests를 활용해 대규모 자동 마이그레이션의 검토 효율성을 높이는 방법
Azure SRE Agent를 활용해 문제를 진단하고, 검증된 해결 방안을 제안하는 방법
토큰 효율성, 복구 시간, 승인 신호를 활용해 운영 효과를 추적하는 방법
활용 기술
Azure SRE Agent
Copilot App Modernization Agent & Modernize CLI
Stacked Pull Requests
Human-in-the-Loop 거버넌스 패턴
추천 대상
여러 리포지토리에 걸쳐 레거시 애플리케이션을 현대화하고 있는 팀
프로덕션 환경에서 AI 시스템을 운영하는 개발자 및 플랫폼 엔지니어
에이전트를 활용한 문제 해결 및 복구를 검토하고 있는 SRE 및 DevOps 팀
확장 가능하고 안정적인 AI 운영에 주력하는 기술 리더
Registration and detailsLivestreamAI Genius | 从 legacy 应用现代化到 AI 运维：探索 Agent 驱动的应用现代化与规模化运营
课程介绍
规模化实现legacy应用现代化只是整个转型旅程的一半。随之而来的 AI 系统还需要持续监控、快速响应故障，并保障日常稳定运行，同时尽可能减少额外的工程负担。
本场课程将带你端到端了解这一完整过程：首先通过自动化且可审查的升级方式实现legacy应用现代化，随后利用自愈型 Agent 和企业级运维智能，对 AI 系统进行规模化运营和管理。
你将了解 AI 技术如何简化大规模应用更新，将运行时信号与问题修复相连接，并让复杂的运维工作更加易于审查和治理。
你将学到
・如何使用 Copilot Modernize CLI，规模化开展legacy应用评估与升级
・如何利用堆叠式拉取请求，让大规模自动化迁移更易于审查
・如何借助 Azure SRE Agent 诊断问题，并提出经过测试验证的修复方案
・如何通过 Token 效率、恢复时间和接受度信号，衡量和追踪实际运维成效
涉及技术
・Azure SRE Agent
・Copilot App Modernization Agent & Modernize CLI
・Stacked Pull Requests
・Human-in-the-Loop Governance Patterns
适合人群
・需要跨多个代码仓库推进legacy应用现代化的团队
・负责生产环境 AI 系统运行的开发者和平台工程师
・希望探索 Agent 辅助问题修复的 SRE 和 DevOps 团队
・关注 AI 运维规模化与系统韧性的技术领导者
Registration and details
Developer
