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 Duration 7 hours

Course Outline

Overview of AI Tools in the Enterprise

  • Defining enterprise AI: A survey of contemporary AI applications
  • Categorizing AI tools: Conversational, generative, and predictive types
  • Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
  • The role of AI tools within the modern productivity stack

Basics of Large Language Models (LLMs)

  • Defining a Large Language Model
  • Gaining insight into ChatGPT, Microsoft Copilot, and Grok
  • Enterprise relevance: Why LLMs are critical for decision-makers

Practical Application of AI Tools

  • Prompting essentials: Strategies for writing effective prompts
  • Managing the tone, structure, and length of AI responses
  • Addressing limitations and workarounds (e.g., hallucinations, privacy, formatting)

Common Use Cases for Senior Executives

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

Strategic Integration and Investment Analysis

  • Overview of Microsoft Copilot for enterprise environments
  • Examples of AI-driven productivity improvements across various industries
  • Considerations for licensing and enterprise security
  • Assessing ROI and productivity KPIs

Hands-On Exercises

  • Live demonstrations using ChatGPT and/or Copilot
  • Prompting walkthroughs based on simulated executive tasks
  • Group discussion: Exploring how your team can leverage LLMs

Requirements

  • Background in strategic or operational management positions
  • Basic proficiency with office applications such as Microsoft Word, Excel, and PowerPoint
  • No programming or specialized technical background required

Target Audience

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

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