Path to production for agents: a Microsoft Azure AI Tech Accelerator
Move AI agents from experimentation to production with trusted architecture, governance, and operations. Many organizations have made progress with AI prototypes, but struggle to turn early success into systems that are secure, reliable, and ready for real-world use. If you want to bridge that gap with practical, engineering-focused guidance across the full AI lifecycle—from foundational governance and architecture to deployment, security, and ongoing operation—don't miss this event. Learn how to establish trust in AI systems, design architectures that scale with control, and operate agentic solutions with confidence over time. Explore proven patterns for building production-ready foundations, managing risk and cost, and maintaining performance in dynamic, non-deterministic environments. Walk away with a clear path forward, offering actionable strategies and playbooks you can use to deliver secure, compliant, and high-performing AI solutions in your organization. I'm in. How do I participate? Sign in to the Tech Community. Click on a session topic below then Add to Calendar to and Attend on that page to receive event reminders. Day 1 - July 27, 2026 TIME TOPIC 8:00 AM PDT 3:00 PM UTC Build an AI Center of Excellence for agent governance 9:00 AM PDT 4:00 PM UTC Design Azure AI Landing Zones for production at scale 10:00 AM PDT 5:00 PM UTC A Microsoft blueprint for scalable agentic AI systems Day 2 - July 28, 2026 TIME TOPIC 8:00 AM PDT 3:00 PM UTC Monitor and govern AI agents in production with AgentOps 9:00 AM PDT 4:00 PM UTC What it looks like: Trusted, compliant AI systems at scale 10:00 AM PDT 5:00 PM UTC How to keep agentic workloads orchestrated, fast, and affordableHow to keep agentic workloads orchestrated, fast, and affordable
Getting AI to production is only half the battle. Once agentic workloads are live, organizations face compounding challenges: token costs that grow non-linearly, latency that degrades user trust, Retrieval-Augmented Generation (RAG) pipelines that return noise instead of signal, and orchestration overhead that multiplies with every agent added to the mesh. This is where the real engineering begins. Wrap up your Path to production Tech Accelerator experience with a practical optimization playbook for agentic AI, from model selection and inference routing to prompt compression, RAG tuning, and caching strategies. Learn how to manage orchestration complexity across multi-agent systems while improving signal quality and response times. Explore FinOps practices for AI, including capacity planning, batch processing, and intelligent model routing. Walk away with actionable techniques to reduce inference costs, cut latency, and scale reliably across regions. How do I participate? Select Add to Calendar to save the date, then click the Attend button to save your spot, receive event reminders, and participate in the Q&A. Not able to attend live? This session will be recorded and available on demand shortly after airing. Don't see Attend or Add to Calendar? Sign in to the Tech Community to join the conversation. This session is part of Path to production for agents: a Microsoft Azure AI Tech Accelerator. View the full agenda for more actionable strategies to help you deliver secure, compliant, and high-performing AI solutions across your organization.What it looks like: Trusted, compliant AI systems at scale
As AI systems move into production, the risk landscape expands beyond traditional app security. Examine emerging threats like prompt injection, data leakage, and autonomous tool misuse—and hear ways to mitigate threats using a defense-in-depth strategy. Find out how to apply layered controls across identity, data protection, orchestration, and runtime environments to keep AI systems secure and controllable. AI security and observability are essential for building trusted, compliant AI systems at scale. That's why we'll also cover how traceability, safety monitoring, and auditability help you maintain trust, prove compliance, and operate with confidence in real-world conditions. How do I participate? Select Add to Calendar to save the date, then click the Attend button to save your spot, receive event reminders, and participate in the Q&A. Not able to attend live? This session will be recorded and available on demand shortly after airing. Don't see Attend or Add to Calendar? Sign in to the Tech Community to join the conversation. This session is part of Path to production for agents: a Microsoft Azure AI Tech Accelerator. View the full agenda for more actionable strategies to help you deliver secure, compliant, and high-performing AI solutions across your organization.Monitor and govern AI agents in production with AgentOps
AgentOps brings discipline and reliability to deploying, monitoring, and scaling agentic AI in production. Getting an AI agent to work once is easy. Keeping it reliable over time is not. Dive into the full lifecycle of running agentic AI in production, from evaluation and CI/CD quality gates to observability, continuous monitoring, and incident response. Learn how to apply DevOps practices to AI’s unique challenges, including non-deterministic behavior, prompt regression, model drift, and tool-calling risks. If you are looking for a practical AgentOps operating model that can increase release confidence, catch issues earlier, and connect agent performance insights back into Microsoft Foundry and Azure Monitor, this is the session for you. How do I participate? Select Add to Calendar to save the date, then click the Attend button to save your spot, receive event reminders, and participate in the Q&A. Not able to attend live? This session will be recorded and available on demand shortly after airing. Don't see Attend or Add to Calendar? Sign in to the Tech Community to join the conversation. This session is part of Path to production for agents: a Microsoft Azure AI Tech Accelerator. View the full agenda for more actionable strategies to help you deliver secure, compliant, and high-performing AI solutions across your organization.A Microsoft blueprint for scalable agentic AI systems
Explore a governance-first, multi-agent architecture that embeds consistent controls and quality checks across every layer. Many AI pilots don't fail because of technology; they fail because the architecture isn't designed for trust. Agentic AI architecture enables trusted, scalable AI systems with built-in governance and control from user interactions and agent orchestration to integrations, data, and models. See how aligning these layers under a unified security and governance framework creates a resilient, enterprise-wide AI fabric. You'll leave with a clear blueprint for building interoperable, trustworthy AI systems that are designed to scale without compromising control. How do I participate? Select Add to Calendar to save the date, then click the Attend button to save your spot, receive event reminders, and participate in the Q&A. Not able to attend live? This session will be recorded and available on demand shortly after airing. Don't see Attend or Add to Calendar? Sign in to the Tech Community to join the conversation. This session is part of Path to production for agents: a Microsoft Azure AI Tech Accelerator. View the full agenda for more actionable strategies to help you deliver secure, compliant, and high-performing AI solutions across your organization.Build an AI Center of Excellence for agent governance
AI governance and Center of Excellence (CoE) strategies are key to scaling trusted AI. Too many AI initiatives stall in the proof of concept graveyard—not because of lack of innovation, but because trust, consistency, and accountability are missing. Learn how to establish an AI Center of Excellence and governance framework that acts as a consistent "quality gate" across every layer of your AI applications. See how this approach helps you deliver a single, organization-wide view of secure, responsible, and trustworthy AI so you can confidently move from experimentation to production and scale with control. How do I participate? Select Add to Calendar to save the date, then click the Attend button to save your spot, receive event reminders, and participate in the Q&A. Not able to attend live? This session will be recorded and available on demand shortly after airing. Don't see Attend or Add to Calendar? Sign in to the Tech Community to join the conversation. This session is part of Path to production for agents: a Microsoft Azure AI Tech Accelerator. View the full agenda for more actionable strategies to help you deliver secure, compliant, and high-performing AI solutions across your organization.Design Azure AI Landing Zones for production at scale
If you’re moving beyond AI experiments, you need more than great models; you need a foundation you can trust. Azure AI Landing Zones enable secure, scalable AI deployment with proven architectures and governance. Learn how to use Landing Zones as your production-ready blueprint for deploying AI applications and agents with built-in guardrails for networking, identity, security, and cost control. Get insights to help you apply the Cloud Adoption Framework and the Azure Well-Architected Framework to design platforms that support innovation without sacrificing compliance. Walk away knowing how to accelerate time-to-production using validated architectures, infrastructure as code (IaC), and seamless integration with your enterprise environment. How do I participate? Select Add to Calendar to save the date, then click the Attend button to save your spot, receive event reminders, and participate in the Q&A. Not able to attend live? This session will be recorded and available on demand shortly after airing. Don't see Attend or Add to Calendar? Sign in to the Tech Community to join the conversation. This session is part of Path to production for agents: a Microsoft Azure AI Tech Accelerator. View the full agenda for more actionable strategies to help you deliver secure, compliant, and high-performing AI solutions across your organization.
Azure Incident Retrospective - Please register! Session 2 - Tracking ID: KHC9-Y0G & KJ59-_5Z
Join our upcoming live webcast for a transparent discussion about this recent Azure service incident — led by our engineering teams. Azure OpenAI request failures in East US 2 Tracking ID: KHC9-Y0G & KJ59-_5Z | Impacted: 27-28 April 2026 Same content presented in both sessions — pick the one that works best for your timezone! What to expect 📚 Understand What happened, how we responded, and what we learned 💬 Ask Live Q&A with our engineering experts throughout the session 🛠 Learn The fixes we've put in place and guidance for workload resiliency Choose your session Same content presented at both times — pick the one that works best for your timezone: Session 1 17:30 UTC Wednesday, 27 May 2026 Register now → Session 2 05:30 UTC Thursday, 28 May 2026 Register now → 9:30 AM US Pacific (PDT) 12:30 PM US Eastern (EDT) 5:30 PM London (BST) 1:30 AM +1 Beijing (CST) 4:30 AM +1 Sydney (AEDT) 6:30 AM +1 Auckland (NZDT) 9:30 PM -1 US Pacific (PDT) 12:30 AM US Eastern (EDT) 5:30 AM London (BST) 1:30 PM Beijing (CST) 4:30 PM Sydney (AEDT) 6:30 PM Auckland (NZDT) Our engineering leaders Chip Locke Principal Architect Azure AI Platform LinkedIn Daniel Huang Senior Software Engineer Azure AI Platform LinkedIn ⚠️ Prepare before the livestream Read the Post Incident Review (PIR) ahead of time so you can ask any follow up questions during the live Q&A Helpful resources 🔔 Azure Service Health Alerts Get alerts for relevant incidents by setting up notifications via email, SMS, or webhook 🎥 Past Retrospective Recordings Watch recordings of previous retrospective livestreams 📄 Azure Post Incident Reviews Learn more about PIRs and the retrospective programAzure Incident Retrospective - Please register! Session 1 - Tracking ID: KHC9-Y0G & KJ59-_5Z
Join our upcoming live webcast for a transparent discussion about this recent Azure service incident — led by our engineering teams. Azure OpenAI request failures in East US 2 Tracking ID: KHC9-Y0G & KJ59-_5Z | Impacted: 27-28 April 2026 Same content presented in both sessions — pick the one that works best for your timezone! What to expect 📚 Understand What happened, how we responded, and what we learned 💬 Ask Live Q&A with our engineering experts throughout the session 🛠 Learn The fixes we've put in place and guidance for workload resiliency Choose your session Same content presented at both times — pick the one that works best for your timezone: Session 1 17:30 UTC Wednesday, 27 May 2026 Register now → Session 2 05:30 UTC Thursday, 28 May 2026 Register now → 9:30 AM US Pacific (PDT) 12:30 PM US Eastern (EDT) 5:30 PM London (BST) 1:30 AM +1 Beijing (CST) 4:30 AM +1 Sydney (AEDT) 6:30 AM +1 Auckland (NZDT) 9:30 PM -1 US Pacific (PDT) 12:30 AM US Eastern (EDT) 5:30 AM London (BST) 1:30 PM Beijing (CST) 4:30 PM Sydney (AEDT) 6:30 PM Auckland (NZDT) Our engineering leaders Chip Locke Principal Architect Azure AI Platform LinkedIn Daniel Huang Senior Software Engineer Azure AI Platform LinkedIn ⚠️ Prepare before the livestream Read the Post Incident Review (PIR) ahead of time so you can ask any follow up questions during the live Q&A Helpful resources 🔔 Azure Service Health Alerts Get alerts for relevant incidents by setting up notifications via email, SMS, or webhook 🎥 Past Retrospective Recordings Watch recordings of previous retrospective livestreams 📄 Azure Post Incident Reviews Learn more about PIRs and the retrospective programSecurity: An essential part of your Azure and AI journey
Robust security is crucial at every stage of your cloud and AI journey. Take a closer look at the importance of embedding security from the initial consideration of Azure to the ongoing management of workloads and AI applications. Join Uli Homann and David Blank-Edelman as they share insights on how to make Zero Trust actionable as you leverage Microsoft’s platform, products and tools to achieve secure and successful Azure and AI adoption. Learn from the leaders about how to build security into your next Azure or AI project. This session is part of the Azure security and AI adoption Tech Accelerator. Increase your skills by checking out more sessions to help you plan, build, manage and optimize your Azure deployments and AI projects with a security-first mindset. Learn more with Microsoft Secure! Find solutions your organization can use to protect your data, defend against cyberthreats, and stay compliant.
