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Course Outline

Introduction to Microsoft 365 Copilot

  • Overview of Microsoft 365 Copilot
  • Grasping generative AI and Copilot capabilities
  • Copilot licensing and available features
  • Best practices for leveraging AI in Microsoft 365

Understanding AI Agents

  • What defines an AI agent?
  • Differences between agents, prompts, and chat interactions
  • Business use cases for AI agents
  • When to choose Microsoft-built versus custom agents

Exploring Microsoft-Built Agents

  • Utilizing the Researcher agent
  • Utilizing the Analyst agent
  • Working with Word, Excel, PowerPoint, Outlook, and Teams agents
  • Selecting the appropriate agent for various business tasks

Designing Effective AI Agents

  • Planning an agent for a specific business process
  • Writing clear instructions and prompts
  • Establishing goals, knowledge sources, and expected outputs
  • Testing and refining agent responses

Creating and Managing Custom Agents

  • Building a custom agent without coding
  • Configuring instructions and behaviours
  • Sharing agents with colleagues and teams
  • Updating, managing, and removing agents

Hands-on Lab: Build Your Own AI Agent

  • Create an AI agent tailored to a real business scenario
  • Test and enhance the agent via iterative prompting
  • Troubleshoot common issues
  • Share and demonstrate your completed agent

Best Practices and Next Steps

  • Governance, security, and responsible AI considerations
  • Tips for developing reliable and reusable agents
  • Identifying opportunities to automate everyday work
  • Course review, questions, and further learning resources

Requirements

  • Fundamental knowledge of Microsoft 365 applications (Word, Excel, Outlook, Teams)
  • Access to Microsoft Copilot (either the free version or Microsoft 365 Copilot)
  • No programming or technical background is necessary
  • No additional licenses or tools are required
 7 Hours

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