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Duration 7 hours
Course Outline
Introduction to Enterprise AI Tools
- Defining enterprise AI: An overview of contemporary applications.
- Categorizing AI tools: Conversational, generative, and predictive systems.
- Key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic.
- The role of AI tools in the modern productivity ecosystem.
Basics of Large Language Models (LLMs)
- Defining a Large Language Model.
- An overview of ChatGPT, Microsoft Copilot, and Grok.
- Strategic relevance: Why LLMs are critical for decision-makers.
Practical Application of AI Tools
- Core prompting techniques: Crafting effective instructions.
- Managing response tone, structure, and length.
- Addressing limitations and solutions regarding hallucinations, privacy, and formatting.
Daily Use Cases for Senior Executives
- Drafting and managing professional email correspondence.
- Summarizing key insights from Excel and PowerPoint reports.
- Developing and refining talking points for meetings.
- Extracting critical information from lengthy or complex documents.
Strategic Integration and Investment Analysis
- An overview of Microsoft Copilot in an enterprise context.
- Cross-industry examples of AI-driven productivity gains.
- Considerations for licensing and enterprise security.
- Assessing ROI and productivity KPIs.
Hands-On Exercises
- Live demonstrations using ChatGPT and/or Copilot.
- Walkthroughs of prompting strategies for simulated executive tasks.
- Group discussion: Strategies for applying LLMs within your team.
Requirements
- Experience in strategic or operational management positions.
- Familiarity with standard office suites like Microsoft Word, Excel, and PowerPoint.
- No prior programming or technical expertise is required.
Target Audience
- Senior management and executive leaders.
- Directors and department heads investigating AI-driven workflows.
- Decision-makers assessing the enterprise adoption of AI tools.
