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 Duration 7 hours

Course Outline

Enterprise AI: An Overview

  • Defining enterprise AI and exploring the scope of modern applications
  • Categorizing AI tools: conversational, generative, and predictive
  • Identifying key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
  • Positioning AI tools within the contemporary productivity ecosystem

Large Language Models (LLMs) Explained

  • Defining the concept of a Large Language Model
  • Analyzing specific platforms: ChatGPT, Microsoft Copilot, and Grok
  • Business relevance: Why LLMs are critical for strategic decision-makers

Practical Application of AI Tools

  • Mastering prompt engineering: Techniques for writing effective instructions
  • Managing output parameters: Adjusting tone, structure, and response length
  • Navigating limitations: Addressing hallucinations, privacy concerns, and formatting issues

Use Cases for Senior Leadership

  • Composing and replying to professional correspondence
  • Condensing insights from Excel and PowerPoint presentations
  • Developing and refining talking points for executive meetings
  • Extracting key insights from extensive or complex documentation

Strategic Implementation and Investment

  • Reviewing Microsoft Copilot’s enterprise capabilities
  • Examining cross-industry examples of AI-driven productivity gains
  • Considering licensing structures and enterprise security protocols
  • Measuring ROI and tracking productivity Key Performance Indicators (KPIs)

Hands-On Practice

  • Live demonstration utilizing ChatGPT and/or Copilot
  • Guided prompt walkthroughs based on simulated executive scenarios
  • Collaborative discussion: Strategizing how your team can leverage LLMs

Requirements

  • Background in strategic or operational management positions
  • Familiarity with standard office productivity suites, including Microsoft Word, Excel, and PowerPoint
  • No prior programming experience or technical expertise is necessary

Target Audience

  • Senior executives and C-suite leadership
  • Directors and department heads looking to incorporate AI-driven workflows
  • Key decision-makers assessing the enterprise-wide implementation of AI tools

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