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
Enterprise AI Tools: An Introduction
- Defining enterprise AI and an overview of contemporary applications
- Categorizing AI tools: conversational, generative, and predictive
- Leading industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the modern productivity stack
Large Language Models (LLMs) Explained
- Foundational concepts of Large Language Models
- An analysis of ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs are critical for decision-makers
Practical AI Tool Utilization
- Prompt engineering fundamentals: crafting effective inputs
- Managing response tone, structure, and length
- Navigating limitations and mitigating risks (hallucinations, privacy, formatting)
Executive Use Cases in Daily Operations
- Drafting and replying to professional correspondence
- Condensing insights from Excel and PowerPoint reports
- Developing and reviewing talking points for meetings
- Extracting key insights from lengthy or complex documentation
Strategic Integration and Investment
- Overview of Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-driven productivity gains
- Licensing considerations and enterprise security protocols
- Assessing ROI and key productivity indicators
Hands-on Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Step-by-step prompting sessions based on simulated executive tasks
- Group discussions on applying LLMs within your organization
Requirements
- Experience in strategic or operational management roles
- Familiarity with standard office software, including 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 interested in AI-driven workflows
- Decision-makers assessing the enterprise-wide adoption of AI tools
