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Duration 7 hours
Course Outline
Introduction to Enterprise AI Tools
- Defining enterprise AI and an overview of current AI applications.
- Categorizing AI tools: conversational, generative, and predictive types.
- Key industry leaders: OpenAI, Microsoft, Google, Meta, and Anthropic.
- The role of AI tools within modern productivity stacks.
Fundamentals of Large Language Models (LLMs)
- Definition and core concepts of Large Language Models.
- Exploring ChatGPT, Microsoft Copilot, and Grok.
- Relevance to the enterprise: why LLMs are critical for decision-makers.
Practical Application of AI Tools
- Prompting basics: techniques for writing effective instructions.
- Managing response tone, structure, and length.
- Navigating limitations and workarounds, including hallucinations, privacy concerns, and formatting issues.
Everyday Use Cases for Senior Executives
- Composing and replying to professional correspondence.
- Condensing Excel spreadsheets and PowerPoint presentations.
- Developing and refining talking points for meetings.
- Deriving insights from lengthy or complex documentation.
Strategic Integration and Investment Analysis
- An overview of Microsoft Copilot for enterprise environments.
- Cross-industry examples of AI-driven productivity gains.
- Considerations regarding licensing and enterprise security.
- Assessing ROI and key productivity indicators (KPIs).
Hands-on Exercises
- Live demonstrations using ChatGPT and/or Copilot.
- Step-by-step prompting exercises based on simulated executive tasks.
- Group discussions on potential team applications for LLMs.
Requirements
- Background experience in strategic or operational management positions.
- Fundamental knowledge of standard office applications like Microsoft Word, Excel, and PowerPoint.
- No coding skills or technical background are necessary.
Target Audience
- Senior management and executive leadership teams.
- Directors and department heads seeking to explore AI-driven workflows.
- Decision-makers assessing the enterprise-wide adoption of AI tools.
