Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 7 hours
Course Outline
AI Tools in the Enterprise Context
- Defining enterprise AI: An overview of contemporary applications
- Categorizing AI tools: Conversational, generative, and predictive types
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the modern productivity stack
Fundamentals of Large Language Models (LLMs)
- What constitutes a Large Language Model?
- Examining 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 response tone, structure, and length
- Navigating limitations and finding workarounds (e.g., hallucinations, privacy, formatting)
Use Cases for Senior Executives
- Composing and replying to professional correspondence
- Condensing Excel and PowerPoint reports
- Developing 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
- Addressing licensing and enterprise security considerations
- Measuring ROI and tracking productivity KPIs
Hands-on Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Step-by-step prompting sessions based on simulated executive tasks
- Group discussion: Strategies for applying LLMs within your team
Requirements
- Background in strategic or operational management
- Basic proficiency with standard office applications such as Microsoft Word, Excel, and PowerPoint
- No programming or specialized technical experience is required
Target Audience
- Senior management and C-suite executives
- Directors and department heads interested in AI-enhanced workflows
- Key decision-makers evaluating enterprise-wide AI adoption
