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Duration 7 hours
Course Outline
Introduction to Enterprise AI Tools
- Defining enterprise AI: An overview of contemporary AI applications
- Categorizing AI tools: Conversational, generative, and predictive systems
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the modern productivity stack
Foundations of Large Language Models (LLMs)
- Defining what a Large Language Model is
- Gaining insights into ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Prompting essentials: Strategies for writing effective prompts
- Modulating the tone, structure, and length of AI responses
- Addressing limitations and workarounds (e.g., hallucinations, privacy, formatting)
Everyday Use Cases for Senior Executives
- Composing and replying to professional correspondence
- Condensing Excel spreadsheets and PowerPoint reports
- Developing and reviewing meeting talking points
- Extracting key insights from lengthy or complex documents
Strategic Integration and Investment Considerations
- Overview of Microsoft Copilot for enterprise environments
- Examples of AI-driven productivity gains across various industries
- Addressing licensing requirements and enterprise security standards
- Assessing ROI and productivity Key Performance Indicators (KPIs)
Practical Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Step-by-step prompting walkthroughs using simulated executive tasks
- Group discussion: Exploring how your team can apply LLMs
Requirements
- Experience in strategic or operational management positions
- Basic proficiency with standard office software such as Microsoft Word, Excel, and PowerPoint
- No prior programming or technical background is necessary
Target Audience
- Senior management and executive leadership teams
- Directors and department heads investigating AI-driven workflows
- Decision-makers evaluating the enterprise-wide adoption of AI tools