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Duration 7 hours
Course Outline
Introduction to Enterprise AI Tools
- Defining Enterprise AI: An overview of contemporary AI applications
- Categorizing AI tools: Conversational, generative, and predictive systems
- Key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the modern productivity stack
Foundations of Large Language Models (LLMs)
- Defining Large Language Models (LLMs)
- Exploring ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: The critical importance of LLMs for decision-makers
Practical Application of AI Tools
- Prompting fundamentals: Techniques for creating effective prompts
- Managing response tone, structure, and length
- Navigating limitations and workarounds (e.g., hallucinations, privacy, formatting issues)
Practical Use Cases for Senior Executives
- Drafting and managing professional email communications
- Summarizing insights from Excel spreadsheets and PowerPoint presentations
- Developing and reviewing talking points for strategic meetings
- Extracting key insights from lengthy or complex documentation
Strategic Integration and Investment Analysis
- Overview of Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-driven productivity enhancements
- Licensing requirements and enterprise security protocols
- Assessing ROI and productivity Key Performance Indicators (KPIs)
Hands-On Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Step-by-step prompting walkthroughs based on simulated executive tasks
- Group discussion: Strategies for applying LLMs within your team
Requirements
- Professional experience in strategic or operational management roles
- Familiarity with standard office productivity suites, including Microsoft Word, Excel, and PowerPoint
- No prior programming experience or technical background is necessary
Target Audience
- C-suite executives and senior management teams
- Directors and department heads interested in exploring AI-driven workflows
- Key decision-makers assessing the enterprise-level adoption of AI tools
