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 Duration 7 hours

Course Outline

Introduction to Enterprise AI Tools

  • Defining enterprise AI: An overview of contemporary AI applications
  • Categorization of AI tools: conversational, generative, and predictive
  • Leading providers: OpenAI, Microsoft, Google, Meta, and Anthropic
  • The role of AI tools within the current productivity ecosystem

Foundations of Large Language Models (LLMs)

  • Defining a Large Language Model
  • An overview of ChatGPT, Microsoft Copilot, and Grok
  • Business relevance: Why LLMs are critical for decision-makers

Practical Engagement with AI Tools

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

Applications for Senior Executives

  • Composing and replying to professional emails
  • Summarizing data from Excel and PowerPoint reports
  • Developing and reviewing talking points for meetings
  • Deriving insights from extensive or complex documents

Strategic Integration and Investment Analysis

  • Introduction to Microsoft Copilot for enterprise use
  • Cross-industry examples of AI-driven productivity
  • Considerations regarding licensing and enterprise security
  • Assessing ROI and productivity key performance indicators (KPIs)

Hands-On Exercises

  • Live demonstrations utilizing ChatGPT and/or Copilot
  • Guided prompting sessions based on simulated executive tasks
  • Group discussion: Exploring LLM application within your team

Requirements

  • Background in strategic or operational management
  • Familiarity with standard office applications such as Microsoft Word, Excel, and PowerPoint
  • No prior programming or technical expertise required

Target Audience

  • Senior management and executive leadership
  • Directors and department heads investigating AI-driven workflows
  • Decision-makers assessing the enterprise adoption of AI tools

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