AI Fluency: Practical Copilot for Everyday Users

AI Fluency: Practical Copilot for Everyday Users

Duration: 2-Day In-Person Training | Microsoft 365 Copilot

Description

This two-day immersive program equips everyday users with practical AI fluency focused on real workplace and personal workflows. Participants progress from a foundational understanding of generative AI to hands-on application using Microsoft 365 Copilot, enabling immediate productivity gains, higher-value work, and responsible AI adoption across teams and organizations.

Objectives

  • Understand what GenAI is and is not
  • Design and apply effective prompts for routine and complex tasks
  • Confidently use Microsoft Copilot across core productivity workflows
  • Critically evaluate AI outputs using your own judgment and review controls
  • Build simple Copilot agents to automate repetitive work
  • Apply learnings immediately within your day-to-day role

Course Outline

  • Module 1 – AI Foundations for Everyone
    • AI vs. GenAI: what’s the difference and why it matters
    • How large language models work (high-level, non-technical)
    • What GenAI is not: limits, risks, and common misconceptions
    • Strengths, limitations, and common failure modes
    • Workplace considerations: data privacy, acceptable use, and governance
  • Module 2 – Prompting for Real Work
    • From searching to instructing: a new way of working with AI
    • Prompt structure: context, constraints, and examples
    • Quality control and output verification techniques
    • Using Copilot as a thought partner and creative collaborator
    • Lab: Practical Prompt Engineering — Hands-On Practice
  • Module 3 – Copilot for Everyday Productivity
    • Using Copilot in Word, Outlook, PowerPoint, and Excel
    • Drafting, summarizing, and editing documents faster
    • Managing email and meetings more efficiently
    • Turning data into insights without complex formulas
    • Lab: Your Personal Productivity Suite with Copilot
  • Module 4 – Advanced Review and Analysis
    • Comparing and reviewing documents, reports, and proposals
    • Identifying key changes, gaps, and risks in content
    • Creating concise summaries and briefings for stakeholders
    • Using Copilot as a research and analysis assistant
    • Lab: High-Value Analysis with Copilot
  • Module 5 – Building Your Own Copilot Agents
    • When and why to use Copilot agents
    • Defining scope, knowledge sources, guardrails, and outputs
    • Practical use cases: automating research, updates, and routine tasks
    • Lab: Build Your Own Copilot Agent
  • Module 6 – Responsible Use, Adoption, and Measuring Impact
    • Responsible AI use and human-in-the-loop best practices
    • Driving adoption across your team or organization
    • Tracking productivity gains and building good habits
    • Estimating your personal and team AI ROI
    • Lab: Building Your AI-Fluent Future