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 Duration 7 hours

Course Outline

Enterprise AI Tools: An Overview

  • Defining enterprise AI: A survey of contemporary AI applications
  • Categorizing AI tools: Conversational, generative, and predictive models
  • Leading providers: OpenAI, Microsoft, Google, Meta, and Anthropic
  • The role of AI tools within the modern productivity ecosystem

Fundamentals of Large Language Models (LLMs)

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

Practical Application of AI Tools

  • Prompting basics: Techniques for crafting effective prompts
  • Managing response tone, structure, and length
  • Navigating limitations and solutions (addressing hallucinations, privacy, and formatting issues)

Common Use Cases for Senior Leadership

  • Composing and replying to professional correspondence
  • Condensing Excel and PowerPoint reports
  • Developing and reviewing talking points for meetings
  • Deriving insights from lengthy or complex documentation

Strategic Integration and Investment Analysis

  • Insights into Microsoft Copilot for enterprise environments
  • Cross-industry examples of AI-enhanced productivity
  • Reviewing licensing terms and enterprise security protocols
  • Assessing ROI and key productivity metrics (KPIs)

Hands-On Exercises

  • Live demonstrations using ChatGPT and/or Copilot
  • Guided prompting sessions focused on simulated executive duties
  • Collaborative discussion: Strategizing LLM application within your team

Requirements

  • A background in strategic or operational management
  • Familiarity with standard office applications like Microsoft Word, Excel, and PowerPoint
  • No programming or advanced technical expertise required

Target Audience

  • Senior management and executive leaders
  • Directors and department heads interested in AI-driven workflows
  • Decision-makers assessing the enterprise adoption of AI technologies

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