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 Duration 7 hours

Course Outline

AI Tools in the Enterprise: An Introduction

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

Understanding Large Language Models (LLMs)

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

Practical Work with AI Tools

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

Everyday Use Cases for Senior Executives

  • Drafting and replying to professional correspondence
  • Summarizing reports in Excel and PowerPoint
  • Developing and reviewing meeting talking points
  • Extracting key insights from lengthy or complex documents

Strategic Integration and Investment

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

Practical Exercises

  • Live demonstrations using ChatGPT and/or Copilot
  • Guided prompting sessions based on simulated executive tasks
  • Group discussion: Potential applications of LLMs within your team

Requirements

  • Experience in strategic or operational management positions
  • Basic proficiency with office applications such as Microsoft Word, Excel, and PowerPoint
  • No prior programming or technical background is necessary

Target Audience

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

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