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Duration 7 hours
Course Outline
Introduction to AI Tools in Enterprise Settings
- Defining enterprise AI: An overview of modern AI applications.
- Categorizing AI tools: Conversational, generative, and predictive types.
- Key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic.
- The role of AI tools in today's productivity stack.
Overview of Large Language Models (LLMs)
- What defines a Large Language Model?
- Getting to know 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 tone, structure, and response length.
- Understanding limitations and workarounds (e.g., hallucinations, privacy, formatting issues).
Use Cases for Senior Executives
- Drafting and replying to professional correspondence.
- Summarizing Excel and PowerPoint reports.
- Developing and reviewing talking points for meetings.
- Extracting key insights from lengthy or complex documents.
Strategic Integration and Investment Considerations
- Overview of Microsoft Copilot for enterprise use.
- Examples of AI-driven productivity improvements across various industries.
- Licensing requirements and enterprise security considerations.
- Evaluating ROI and productivity KPIs.
Hands-on Exercises
- Live demonstration using ChatGPT and/or Copilot.
- Walkthroughs of prompting techniques using simulated executive tasks.
- Group discussion: Strategies for your team to apply LLMs.
Requirements
- Background in strategic or operational management roles.
- Basic proficiency with office software such as Microsoft Word, Excel, and PowerPoint.
- No prior programming or technical experience is necessary.
Target Audience
- Senior management and executive leadership.
- Directors and department heads investigating AI-driven workflows.
- Decision-makers assessing the enterprise adoption of AI tools.
