Microsoft Build 2026

Build AI-powered video applications using the NVIDIA Video Search and Summarization (VSS) blueprint. In this hands-on lab, you’ll design vision agents that combine VLMs and LLMs to index, search, and summarize video streams, enabling natural language interaction with visual data at scale.

Agentic workflows in GitHub Copilot can run complex tasks with broad access to local systems. In this session, see how to enforce policy and governance for agents operating in CLI environments. You’ll walk through how NVIDIA OpenShell™ applies kernel-level controls, isolates agent processes, and limits permissions based on task context. Learn how to apply zero-trust principles to secure agent-driven development workflows.

Build and deploy intelligent AI agents using NVIDIA AI-Q Blueprint and Nemotron™ on Azure Kubernetes Service (AKS). In this hands-on lab, you’ll create an agent for enterprise research that combines AI reasoning, multimodal data extraction, and retrieval-augmented generation to synthesize data into actionable insights. Learn how to connect data sources and run inference at scale—then apply these patterns to your own production workflows.

Optimize enterprise agentic AI with a tiered system-of-models architecture in Azure AI Foundry. This session demonstrates a plan-and-execute pattern routing tasks across frontier models for reasoning, NVIDIA Nemotron for complex subtasks, and local models for latency-sensitive execution. Learn to route workloads across cloud and edge tiers to minimize cost-per-task while maximizing quality. Dive into using special agents and post-trained open source models to achieve faster task completion.