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Course Outline

Introduction to Microsoft 365 Copilot

  • Overview of Microsoft 365 Copilot
  • Understanding generative AI and Copilot capabilities
  • Copilot licensing and available features
  • Best practices for working with AI in Microsoft 365

Understanding AI Agents

  • What are AI agents?
  • How agents differ from prompts and chat interactions
  • Business use cases for AI agents
  • When to use Microsoft-built versus custom agents

Exploring Microsoft-Built Agents

  • Using the Researcher agent
  • Using the Analyst agent
  • Working with Word, Excel, PowerPoint, Outlook, and Teams agents
  • Selecting the right agent for different business tasks

Designing Effective AI Agents

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

Creating and Managing Custom Agents

  • Building a custom agent with no 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 for a real business scenario
  • Test and improve the agent through iterative prompting
  • Troubleshoot common issues
  • Share and demonstrate your completed agent

Best Practices and Next Steps

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

Requirements

  • Basic knowledge of Microsoft 365 applications (Word, Excel, Outlook, Teams)
  •  Access to Microsoft Copilot (free version or Microsoft 365 Copilot)
  • No coding or technical background required
  • No additional licences or tools are needed
 7 Hours

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