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Duration 7 hours
Course Outline
Introduction to Enterprise AI Tools
- Defining enterprise AI: A broad look at contemporary AI applications
- Categorizing AI tools: Conversational, generative, and predictive models
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the current productivity ecosystem
Foundations of Large Language Models (LLMs)
- Defining what a Large Language Model is
- Exploring key platforms: ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Prompting essentials: Techniques for writing high-impact prompts
- Managing response tone, structure, and length
- Navigating limitations and finding solutions (addressing hallucinations, privacy concerns, and formatting issues)
Practical Use Cases for Senior Executives
- Composing and replying to professional correspondence
- Condensing insights from Excel and PowerPoint presentations
- Developing and refining discussion points for meetings
- Deriving key insights from extensive or complex documentation
Strategic Integration and Investment Perspectives
- An overview of Microsoft Copilot’s enterprise capabilities
- Cross-industry examples of AI-driven productivity gains
- Considering licensing requirements and enterprise security standards
- Measuring ROI and tracking productivity KPIs
Hands-on Exercises
- Live demonstration using ChatGPT and/or Copilot
- Step-by-step prompting exercises based on simulated executive duties
- Group discussion: Strategies for applying LLMs within your team
Requirements
- Experience in strategic or operational leadership roles
- Fundamental proficiency with office suites like Microsoft Word, Excel, and PowerPoint
- No prior programming or technical expertise required
Target Audience
- Senior management and executive leadership teams
- Directors and department heads investigating AI-powered workflows
- Key decision-makers assessing enterprise-wide AI tool adoption
