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Duration 7 hours
Course Outline
Enterprise AI Tools: An Introduction
- Defining enterprise AI: A survey of contemporary AI applications
- Categories of AI tools: Conversational, generative, and predictive
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The position of AI tools within the modern productivity ecosystem
Understanding Large Language Models (LLMs)
- What constitutes a Large Language Model?
- An overview of ChatGPT, Microsoft Copilot, and Grok
- Relevance to the enterprise: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Prompting basics: Strategies for writing effective prompts
- Managing response tone, structure, and length
- Navigating limitations and workarounds (hallucinations, privacy concerns, formatting issues)
Daily Use Cases for Senior Executives
- Drafting and replying to professional correspondence
- Condensing reports in Excel and PowerPoint
- Formulating and reviewing meeting talking points
- Deriving insights from lengthy or complex documentation
Strategic Integration and Investment Analysis
- Introduction to Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-driven productivity gains
- Licensing frameworks and enterprise security considerations
- Assessing ROI and key productivity indicators (KPIs)
Hands-On Exercises
- Live demos using ChatGPT and/or Copilot
- Prompting walkthroughs based on simulated executive tasks
- Group discussion: Strategies for applying LLMs within your team
Requirements
- Background in strategic or operational management roles
- Basic proficiency with standard office applications like Microsoft Word, Excel, and PowerPoint
- No prior programming or technical experience is necessary
Target Audience
- Senior management and executive leadership
- Directors and department heads exploring AI-enhanced workflows
- Decision-makers assessing the enterprise adoption of AI tools
