AI for Work: ChatGPT, Gemini, or Copilot?

Category:

Description

Duration: 1 Day

Course Overview:

This course introduces participants to the practical use of leading AI-powered productivity tools, ChatGPT, Google Gemini, and Microsoft Copilot. The training explores how these tools can enhance workplace efficiency, creativity, and decision-making. Through demonstrations and guided practice, participants will learn how to leverage AI for content creation, communication, research, data analysis, and task automation.

Course Objective:

By the end of this course, participants will be able to:

  1. Understand the capabilities and limitations of ChatGPT, Gemini, and Copilot.
  2. Identify the best use cases for each AI tool in a professional context.
  3. Generate text, summaries, and reports using AI assistance.
  4. Use AI to enhance communication, idea generation, and problem-solving.
  5. Apply responsible and ethical AI practices in the workplace.

Methodology:

  • Interactive demonstrations
  • Hands-on practical exercises
  • Group design challenges
  • Peer reviews and feedback sessions
  • Guided walkthroughs and live design critiques

 

Course Outline:

Module 1: Introduction to AI for Work

  • What AI is and isn’t: clearing misconceptions

  • Overview of ChatGPT, Gemini, and Copilot

  • How AI fits into modern workplace tools

Module 2: Content Creation & Communication

  • Drafting emails, reports, and presentations with AI

  • Brainstorming and idea generation

  • Language refinement and tone adjustment

Module 3: Productivity & Research Applications

  • Summarizing long documents and extracting insights

  • Analyzing data and generating simple reports

  • Using AI for scheduling and task management

Module 4: Comparing the Tools in Practice

  • Strengths and limitations of ChatGPT, Gemini, and Copilot

  • Practical exercises: when to use which tool

  • Integration into Microsoft 365, Google Workspace, and other platforms

Module 5: Responsible AI Use

  • Accuracy, reliability, and fact-checking

  • Data privacy and security considerations

  • Ethical AI practices at work

 

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