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Duration 7 hours
Course Outline
Introduction to Enterprise AI Tools
- Defining enterprise AI: An overview of modern applications
- Categorizing AI tools: Conversational, generative, and predictive types
- Key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools within today's productivity ecosystem
Foundations of Large Language Models (LLMs)
- Defining a Large Language Model
- An overview of 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 length in AI responses
- Addressing limitations and workarounds (e.g., hallucinations, privacy concerns, formatting issues)
Use Cases for Senior Executives
- Composing and replying to professional correspondence
- Condensing Excel spreadsheets and PowerPoint presentations
- Formulating 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
- Licensing frameworks and enterprise security standards
- Assessing ROI and key productivity metrics
Hands-On Exercises
- Live demonstrations 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
- Familiarity with standard office software, including Microsoft Word, Excel, and PowerPoint
- No programming or specialized technical background necessary
Target Audience
- Senior management and executive leadership teams
- Directors and department heads interested in exploring AI-driven workflows
- Decision-makers assessing the enterprise-level adoption of AI tools
