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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
  • Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
  • Positioning AI tools within the modern productivity ecosystem

Understanding Large Language Models (LLMs)

  • What defines a Large Language Model?
  • Overview of key platforms: ChatGPT, Microsoft Copilot, and Grok
  • Relevance to business: Why LLMs are critical for decision-makers

Practical Application of AI Tools

  • Essential prompting principles: Crafting effective instructions
  • Managing response parameters: Tone, structure, and length
  • Navigating limitations and mitigations: Addressing hallucinations, privacy, and formatting issues

Use Cases for Senior Leadership

  • Drafting and managing professional email communications
  • Condensing data from Excel and PowerPoint reports
  • Formulating and reviewing meeting talking points
  • Deriving key insights from lengthy or complex documentation

Strategic Integration and Investment Analysis

  • Introduction to Microsoft Copilot for enterprise environments
  • Cross-industry examples of AI-driven productivity enhancements
  • Reviewing licensing frameworks and enterprise security protocols
  • Measuring ROI and productivity performance indicators (KPIs)

Hands-On Exercises

  • Live demonstrations using ChatGPT and/or Copilot
  • Guided prompt exercises based on simulated executive tasks
  • Collaborative discussion: Strategic applications for your team

Requirements

  • Professional experience in strategic or operational management positions
  • Basic proficiency with standard office applications, including Microsoft Word, Excel, and PowerPoint
  • No prior programming knowledge or technical background is necessary

Target Audience

  • Senior management and executive leadership teams
  • Directors and department heads investigating AI-enhanced workflows
  • Key decision-makers assessing the enterprise-scale adoption of AI tools

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