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 Duration 7 hours

Course Outline

Introduction to Enterprise AI Tools

  • Defining enterprise AI: An overview of modern AI applications
  • Categories of AI tools: Conversational, generative, and predictive
  • Major players: OpenAI, Microsoft, Google, Meta, Anthropic
  • Positioning AI tools within the current productivity stack

Overview of Large Language Models (LLMs)

  • What constitutes a Large Language Model?
  • Exploring ChatGPT, Microsoft Copilot, and Grok
  • Enterprise relevance: Why LLMs are critical for decision-makers

Practical Application of AI Tools

  • Prompting essentials: Crafting effective prompts
  • Managing tone, structure, and response length
  • Addressing limitations and workarounds (hallucinations, privacy, formatting)

Everyday Use Cases for Senior Executives

  • Composing and replying to professional emails
  • Summarizing reports in Excel and PowerPoint
  • Developing and reviewing talking points for meetings
  • Extracting key insights from lengthy or complex documents

Strategic Integration and Investment Scenarios

  • Overview of Microsoft Copilot for enterprise environments
  • Examples of AI-driven productivity across various industries
  • Licensing requirements and enterprise security considerations
  • Assessing ROI and productivity KPIs

Practical Exercises

  • Live demonstration using ChatGPT and/or Copilot
  • Prompting walkthroughs based on simulated executive tasks
  • Group discussion: Strategies for applying LLMs within your team

Requirements

  • Background in strategic or operational management roles
  • Basic familiarity with office suites such as Microsoft Word, Excel, and PowerPoint
  • No programming or technical background is required

Target Audience

  • Senior management and executive leadership
  • Directors and department heads exploring AI-driven workflows
  • Decision-makers evaluating enterprise adoption of AI tools

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