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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 contributors: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the modern productivity ecosystem
Basics of Large Language Models (LLMs)
- Definition and scope of Large Language Models
- An overview of ChatGPT, Microsoft Copilot, and Grok
- Enterprise significance: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Prompting basics: Techniques for crafting effective prompts
- Managing tone, structure, and response length
- Addressing limitations and mitigations (e.g., hallucinations, privacy, formatting)
Practical Use Cases for Senior Executives
- Composing and replying to professional correspondence
- Condensing Excel and PowerPoint reports
- Developing and reviewing discussion points for meetings
- Deriving insights from extensive or complex documentation
Strategic Integration and Investment Analysis
- Overview of Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-driven productivity enhancements
- Licensing implications and enterprise security considerations
- Assessing ROI and productivity key performance indicators (KPIs)
Hands-On Exercises
- Live demonstration using ChatGPT and/or Copilot
- Guided prompting sessions using simulated executive tasks
- Group discussion: Strategies for applying LLMs within your team
Requirements
- Background in strategic or operational management roles
- Basic proficiency with office applications such as Microsoft Word, Excel, and PowerPoint
- No prior programming or technical expertise required
Target Audience
- Senior management and executive leadership
- Directors and department heads exploring AI-driven workflows
- Decision-makers assessing enterprise-wide AI tool adoption
