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.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

See how Microsoft Foundry on Windows makes enabling local AI easy on Copilot+ PCs with Windows AI APIs — no cloud, hosting, or ML expertise needed. Use built-in models on Copilot+ PCs like Phi Silica to integrate built-in language and vision capabilities. Enable turnkey features like summarization, rewriting, and image understanding with minimal code. Customize AI models with own proprietary data using LoRA (low rank adapter) fine-tuning and app content search.

SQL Server 2025 redefines what's possible for the enterprise data platform. With developer-first features and seamless integration with analytics and AI models, SQL Server 2025 accelerates AI innovation using the data you already own. Build modern apps with native JSON and REST APIs and harness AI with built-in vector search. Increase application availability with optimized locking and use Fabric mirroring for near real-time analytics. Join us to see why this is the most advanced SQL Server.

Building intelligent AI agents is no simple task. With Microsoft Foundry Agent Service, you can rapidly create and deploy robust agents with the security, scalability, and integrations of Azure. In this walkthrough, we’ll build an agent that combines live data, reasoning, and dynamic tool usage. Using Azure Functions for real APIs and W&B Weave for detailed tracking, you’ll learn setup, tool registration, data endpoints, and Python-based interaction.

DevEx 2.0 means giving developers guardrails that accelerate delivery instead of slowing it. This session shows how continuous security integrates with Azure and GitHub pipelines. You’ll see IDE coaching and SAST at commit. With Microsoft Copilot and Azure OpenAI using GPT-5, developers can cut through false positives and receive actionable fixes directly in the code. Builds include SBOM generation, container scans, and dependency checks. Staging environments add DAST and API testing.

AI is reshaping NetOps from scripted automation to intelligent, data driven workflows. We will show uses: incident triage, knowledge retrieval, traffic analysis, prediction, and contrast legacy monitoring with ML, NLP, and LLMs. See how RAG, text to SQL, and agent workflows enable real time insights across hybrid data. We will outline data pipelines and MLOps, address accuracy, reliability, cost, compliance, and weigh build vs buy. We will cover API integration and human in the loop guardrails.

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.

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.

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.