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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 types.
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic.
- The role of AI tools in the modern productivity stack.
Foundations of Large Language Models (LLMs)
- What constitutes a Large Language Model?
- An in-depth look at ChatGPT, Microsoft Copilot, and Grok.
- Enterprise relevance: Why LLMs are critical for decision-makers.
Practical Application of AI Tools
- Prompting basics: Techniques for writing effective prompts.
- Managing response tone, structure, and length.
- Navigating limitations and implementing workarounds (e.g., hallucinations, privacy concerns, formatting issues).
Everyday Use Cases for Senior Executives
- Composing and replying to professional emails.
- Summarizing data from Excel sheets and PowerPoint presentations.
- Developing and reviewing meeting talking points.
- Extracting key insights from lengthy or complex documents.
Strategic Integration and Investment Analysis
- Overview of Microsoft Copilot for enterprise environments.
- Cross-industry examples of AI-driven productivity gains.
- Considerations regarding licensing and enterprise security.
- Evaluating ROI and productivity KPIs.
Hands-On Exercises
- Live demonstrations featuring ChatGPT and/or Copilot.
- Prompting walkthroughs using simulated executive tasks.
- Group discussion: Strategies for your team to apply LLMs effectively.
Requirements
- Background in strategic or operational management roles.
- Familiarity with standard office software such as Microsoft Word, Excel, and PowerPoint.
- No prior programming experience or technical background is necessary.
Target Audience
- Senior management and executive leadership teams.
- Directors and department heads interested in implementing AI-driven workflows.
- Decision-makers evaluating the enterprise adoption of AI tools.
