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Microsoft Copilot Studio Training is a practical program designed to help professionals develop the skills needed to create, customize, and manage AI-powered copilots and intelligent agents for modern business environments.

 

Duration 3 days – 21 hrs

 

Overview

The Microsoft Copilot Studio Training Course is designed to equip participants with the knowledge and practical skills required to design, build, customize, deploy, and manage AI-powered copilots using Microsoft Copilot Studio. Participants will learn how to create conversational AI solutions that can automate business processes, answer user inquiries, integrate with enterprise data sources, and improve employee and customer experiences.

This hands-on training covers the fundamentals of conversational AI, generative AI capabilities, topic creation, knowledge sources, Power Platform integration, workflow automation, security, governance, analytics, and deployment best practices. Through practical exercises and real-world use cases, participants will gain experience in building intelligent copilots for business operations, customer service, IT support, HR, finance, and other enterprise functions.

 

Learning Objectives

  • Understand the capabilities and architecture of Microsoft Copilot Studio. 
  • Design and build AI-powered conversational copilots. 
  • Create topics, intents, entities, and conversation flows. 
  • Leverage generative AI capabilities to enhance user interactions. 
  • Connect copilots to enterprise knowledge sources and business data. 
  • Integrate Copilot Studio with Microsoft Power Platform services. 
  • Automate business processes using Power Automate. 
  • Implement security, governance, and compliance controls. 
  • Monitor copilot performance using analytics and insights. 
  • Deploy and maintain enterprise-grade copilots.

 

Target Audience

    • Business Analysts 
    • Citizen Developers 
    • IT Professionals 
    • Digital Transformation Teams 
    • Process Improvement Specialists 
    • Customer Service Managers 
    • HR Professionals 
    • Operations Managers 
    • Application Developers 
    • Power Platform Developers 
    • AI and Innovation Teams

 

Prerequisites 

  • Basic understanding of business processes 
  • Familiarity with Microsoft 365 and Power Platform concepts 
  • Basic knowledge of automation workflows (recommended) 
  • No prior AI or programming experience required for fundamentals 
  • Basic Power Automate experience is beneficial but not mandatory

 


Course Outline 

 

Day 1 – Introduction to Copilot Studio and Conversational AI

Module 1: Introduction to Microsoft Copilot Studio

  • Overview of Microsoft Copilot Ecosystem 
  • What is Microsoft Copilot Studio? 
  • Business Use Cases and Benefits 
  • Copilot Studio Architecture 
  • Licensing and Environment Setup 
  • Understanding AI-Powered Assistants 

Module 2: Fundamentals of Conversational AI

  • Conversational Design Principles 
  • User Experience Considerations 
  • Understanding Topics and Intents 
  • Natural Language Processing Concepts 
  • Conversation Lifecycle 

Module 3: Navigating the Copilot Studio Environment

  • User Interface Overview 
  • Creating a New Copilot 
  • Managing Environments 
  • Configuring Basic Settings 
  • Publishing and Testing 

Module 4: Building Your First Copilot

  • Creating Topics 
  • Trigger Phrases 
  • Conversation Nodes 
  • Variables and Conditions 
  • User Input Collection 

      Hands-On Lab

  • Create and Publish Your First Copilot 
  • Build Basic Question-and-Answer Scenarios 


Day 2 – Advanced Copilot Development and Automation

Module 5: Generative AI Features

  • Generative Answers 
  • AI-Assisted Conversation Design 
  • Knowledge Grounding 
  • Prompt Engineering for Copilot Responses 
  • Managing AI Response Quality 

Module 6: Working with Knowledge Sources

  • Connecting SharePoint 
  • Connecting Websites 
  • Connecting Documents 
  • Connecting Microsoft Dataverse 
  • Managing Enterprise Knowledge 

Module 7: Advanced Conversation Design

  • Variables and Memory 
  • Branching Logic 
  • Error Handling 
  • Escalation Workflows 
  • Multi-Turn Conversations 

Module 8: Integrating with Power Automate

  • Introduction to Power Automate Integration 
  • Triggering Flows from Copilot 
  • Business Process Automation 
  • Approval Workflows 
  • Data Retrieval Scenarios 

     Hands-On Lab

  • Create AI-Powered Knowledge Assistant 
  • Integrate Copilot with Power Automate Workflow 


Day 3 – Enterprise Integration, Security, Governance, and Analytics

Module 9: Enterprise Integrations

  • Connecting Business Applications 
  • Microsoft 365 Integration 
  • Dynamics 365 Integration 
  • Dataverse Integration 
  • API and Connector Concepts 
  • Custom Connectors Overview 

Module 10: Security and Governance

  • Authentication and Authorization 
  • Role-Based Access Control (RBAC) 
  • Data Privacy Considerations 
  • Compliance Requirements 
  • Responsible AI Practices 
  • Governance Framework 

Module 11: Monitoring and Analytics

  • Copilot Performance Metrics 
  • User Engagement Analysis 
  • Conversation Success Rates 
  • Error Tracking 
  • Continuous Improvement Strategies 

Module 12: Deployment and Lifecycle Management

  • Testing and Validation 
  • Publishing and Version Control 
  • Managing Updates 
  • Environment Promotion Strategies 
  • Operational Best Practices 

Module 13: Real-World Business Use Cases

  • Employee Self-Service Copilot 
  • IT Help Desk Copilot 
  • HR Information Assistant 
  • Customer Support Copilot 
  • Sales and Marketing Assistant 
  • Operations and Knowledge Management Assistant 

Capstone Workshop

  • Design and Build an Enterprise Copilot 
  • Integrate Knowledge Sources and Automation 
  • Deploy and Demonstrate Business Solution 

Hands-On Exercises

  • Create multiple copilots from scratch. 
  • Build conversational workflows. 
  • Configure generative AI responses. 
  • Connect enterprise knowledge sources. 
  • Integrate Power Automate workflows. 
  • Analyze copilot performance metrics. 
  • Implement governance and security controls. 
  • Develop a complete business-focused AI assistant.

 

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