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This module introduces the various Microsoft Copilot products available today and helps you understand where and how each one fits into the Microsoft 365 ecosystem. You will gain insights into licensing, extensibility and the Copilot Studio platform.
This chapter explains how declarative agents let you extend Microsoft 365 Copilot with custom instructions, knowledge, and tools, using Agent Builder, SharePoint, Teams or Copilot Studio. It covers the full lifecycle from creation and configuration to publishing, sharing, and usage.
Microsoft Copilot Studio is a low-code tool within the Power Platform that allows you to create, customize and manage AI-powered agents. In this module, you will discover how Copilot Studio leverages Power Platform features such as environments and solutions to support enterprise-grade governance and lifecycle management.
Learn how to build your first custom agent using Microsoft Copilot Studio. This chapter introduces you to the core components of an agent — Knowledge, Topics, and Tools — and guides you through the process of creating, configuring and publishing your first agent.
To make your agent truly intelligent, you can connect it to various knowledge sources — including websites, SharePoint, documents, and Dataverse. This chapter explains how to ground your agent in organizational data and configure secure access to enterprise knowledge.
Topics define how your agent interacts with users. They represent structured conversations your agent can handle. In this chapter, you’ll learn how to create, configure, and manage topics, define triggers, and design engaging conversation flows.
Tools enable your agents to interact with external systems, perform actions, and extend their functionality beyond simple conversations. This module explores how to define, configure, and use Tools in Microsoft Copilot Studio, including connectors, flows, and Model Context Protocol (MCP) servers.
Autonomous agents are capable of executing actions automatically based on events or triggers, without human intervention. This module teaches how to configure agents that respond to real-world signals such as incoming emails, new data entries, or scheduled events.
Once your agent is developed, it’s essential to thoroughly test its performance before making it available to users. After testing, you can publish your agent across multiple platforms and monitor how it performs through detailed analytics. This chapter walks you through the full process: testing your agent, configuring authentication, sharing it with others, publishing to various channels, and analyzing its overall effectiveness.
This module introduces the Power CAT Copilot Studio Kit and Component Collections, key capabilities and guidance that help standardize, reuse, and govern agent components across your organization. You will learn how these concepts enable scalable agent development by centralizing tools, prompts, and configurations, ensuring consistency, compliance, and simplified lifecycle management across environments.
This course teaches you how to build smart AI agents with Microsoft Copilot Studio, using technologies like generative AI and large language models to automate tasks and improve productivity in Microsoft 365 and beyond. You will learn how to turn your organization's data into useful, conversational solutions that support users in their daily work. With a low-code approach and built-in integrations, you can easily extend existing systems and create agents tailored to your business needs.
This 3-day course is intended for power users, Power Platform developers, business users, and solution architects who want to build agents using Copilot Studio. Basic familiarity with the Power Platform or Power Automate is helpful but not required.