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 Duration 7 hours

Course Outline

AI Tools in the Enterprise Landscape

  • Defining enterprise AI: A look at modern applications
  • Categories of AI tools: Conversational, generative, and predictive
  • Leading industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
  • The position of AI tools within the current productivity ecosystem

Large Language Models (LLMs): An Introduction

  • Defining Large Language Models
  • Overview of ChatGPT, Microsoft Copilot, and Grok
  • Relevance to enterprises: Why LLMs matter to decision-makers

Practical Application of AI Tools

  • Prompt engineering basics: Crafting effective instructions
  • Managing response tone, structure, and length
  • Addressing limitations and workarounds (including hallucinations, privacy, and formatting)

Practical Use Cases for Senior Executives

  • Composing and replying to professional correspondence
  • Condensing insights from Excel and PowerPoint presentations
  • Formulating and reviewing key points for meetings
  • Deriving insights from lengthy or complex documents

Strategic Integration and Investment Analysis

  • Overview of Microsoft Copilot for enterprise environments
  • Cross-industry examples of AI-driven productivity gains
  • Considerations regarding licensing and enterprise security
  • Assessing ROI and productivity KPIs

Hands-On Exercises

  • Live demos using ChatGPT and/or Copilot
  • Prompting walkthroughs based on simulated executive tasks
  • Group discussion: Strategies for your team’s LLM adoption

Requirements

  • Background in strategic or operational management positions
  • Familiarity with standard office applications like Microsoft Word, Excel, and PowerPoint
  • No coding skills or technical expertise required

Target Audience

  • Senior leadership and executive teams
  • Directors and department heads exploring AI-enhanced workflows
  • Decision-makers assessing the enterprise-level adoption of AI tools

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