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Building in Microsoft Copilot Studio

Building in Microsoft Copilot Studio

1h 1mIntermediate2025-03-28

Authors

Bryan Li

Bryan Li

Founder of Cyber Tech & Risk, Chief Catalyst at Enlighteni

Course details

Microsoft Copilot Studio is a low-code, easy-to-use platform that lets you quickly create and publish AI-powered agents based on your own unique business needs. In this course, instructor Bryan Li shows you how to get started.

Explore the rise of generative AI, the core concepts of Copilot Studio, and why it can be leveraged so effectively to improve your workflow. Bryan shows you how to build and deploy an AI agent, create generative answers with a variety of data sources, control conversation flow for business topics, and publish your agent on multiple channels, monitoring its performance for improvement as you go. By the end of this course, you’ll be prepared to leverage the powerful functionalities of Microsoft Copilot Studio to drive innovation and business growth.

Learning objectives
Explain what Microsoft Copilot Studio is and why it is important.
Use Microsoft Copilot Studio to build your AI agent.
Add knowledge and actions to your AI agent.
Create and manage topics within your AI agent.
Publish your AI agent and monitor its performance.

Skills covered

Microsoft Copilot StudioMicrosoft CopilotAI Productivity ToolsGenerative AIArtificial Intelligence for BusinessFoundationsArtificial Intelligence (AI)Business Software and ToolsMicrosoft

Concepts

0. Introduction

  • 01 - Build your AI agents with Microsoft Copilot Studio

1. Overview of Microsoft Copilot Studio

  • 02 - Generative AI, Copilot, and AI agents
  • 03 - What is Microsoft Copilot Studio

2. Building AI Agents

  • 04 - Create an AI agent
  • 05 - Add knowledge to your AI agent
  • 06 - Create actions for your AI agent
  • 07 - Manage topics in your AI agent
  • 08 - Use variables and entities
  • 09 - Create a topic from scratch
  • 10 - Create a topic from a description with Copilot

3. Deploying AI Agents

  • 11 - Set up authentication for your AI agent
  • 12 - Publish your AI agent on multiple channels
  • 13 - Monitor and improve your AI agent

Conclusion

  • 14 - Course conclusion

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