Microsoft Copilot Agents are quickly becoming a core part of modern enterprise applications, blending AI with workflow automation to accelerate digital transformation. With Microsoft Copilot Studio, developers and solution architects can design, extend, and integrate custom AI-powered assistants that operate securely within the Microsoft ecosystem. This session takes a deep dive into the technical capabilities of Copilot Studio and demonstrates how to build Copilot agents that go far beyond simple Q&A. We’ll cover end-to-end development patterns authoring conversational logic, integrating with Power Platform connectors, calling APIs and plugins, and leveraging Dataverse for secure data access. Attendees will also learn how to apply responsible AI principles, manage lifecycle deployment, and optimize performance in real-world scenarios. Technical Takeaways: By the end of this session, attendees will be able to: 1. Author and Customize Copilot Agents – Build a Copilot agent from scratch in Copilot Studio, design conversation flows, and implement prompt engineering patterns. 2. Integrate with Power Platform – Automate approvals, orchestrate workflows, and trigger Power Automate flows directly from Copilot interactions. 3. Connect to Data Sources – Use Dataverse, SharePoint, SQL, and external APIs to fetch, update, and process business-critical data securely. 4. Extend Functionality – Implement custom connectors, plugins, and API calls to extend Copilot beyond Microsoft 365 and tailor it for industry-specific use cases. 5. Enhance Productivity with AI – Embed capabilities like document summarization, knowledge mining, translation, and report generation into enterprise workflows. 6. Manage Governance and Deployment – Apply AI ethics, responsible usage, security, and monitoring practices to ensure compliance and scalable adoption. This session is designed for developers, solution architects, and IT professionals who want to move past demos and actually build enterprise-grade Copilot agents. Through real-world use cases and technical walkthroughs, attendees will leave with a blueprint for integrating Copilot Studio into modern business solutions.

Overview of .NET 10 focusing on cloud-native and intelligent app development, productivity enhancements, streamlined deployments, and accelerated AI integration, highlighting features from the release.

Computer vision is becoming a key enabler of smart manufacturing, from quality inspection to robotic automation. Yet traditional development of AI models often requires large datasets, specialized expertise, and significant time. In this talk, we explore how no-code computer vision platforms are changing this landscape allowing engineers, operators, and domain experts to build, train, and deploy models without deep AI backgrounds. We’ll look at real examples from manufacturing and robotics to show how faster iteration, simpler data workflows, and scalable deployment can move automation projects from concept to production.

Episode 4 – Deploy AI Agents to Production.

Deploy AI Agents to Production

Deploy AI Agents to Production

Guidance on deploying AI agents to production environments on GCP.

Deploying to Vertex AI Agent Engine — fourth session covering deployment to Vertex AI Agent Engine.

Deploying to Vertex AI Agent Engine: deploying AI agents on Google Cloud Vertex AI Agent Engine.

Tools for building and deploying smart contracts and using Anchor Platform for integration.

Overview of deploying LLM products at GetYourGuide with a focus on scalability and reliability.

Experience a hands-on segment where you'll work on setting up a minimal LLM Agent, addressing real-world automation tasks, and understanding the step-by-step process of agent development and deployment.