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Duration 7 hours
Course Outline
Introduction to AI Tools in the Enterprise
- Defining enterprise AI: An overview of modern AI applications
- Categorising AI tools: Conversational, generative, and predictive
- Key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools in today’s productivity stack
Introduction to Large Language Models (LLMs)
- Defining Large Language Models
- An overview of ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs matter to decision-makers
Practical Application of AI Tools
- Prompting fundamentals: Crafting effective prompts
- Controlling tone, structure, and response length
- Navigating limitations and workarounds (hallucinations, privacy, formatting)
Everyday Use Cases for Senior Executives
- Drafting and responding to professional emails
- Summarising Excel and PowerPoint reports
- Developing and reviewing talking points for meetings
- Extracting insights from lengthy or complex documents
Strategic Integration and Investment Scenarios
- Overview of Microsoft Copilot for enterprise use
- Examples of AI-driven productivity across various industries
- Licensing considerations and enterprise security
- Evaluating ROI and productivity KPIs
Practical Exercises
- Live demonstration using ChatGPT and/or Copilot
- Prompting walkthroughs based on simulated executive tasks
- Group discussion: Strategies for your team to apply LLMs
Requirements
- Experience in strategic or operational management roles
- Basic familiarity with office tools such as Microsoft Word, Excel, and PowerPoint
- No programming or technical background required
Audience
- Senior management and executive leadership
- Directors and department heads exploring AI-driven workflows
- Decision-makers evaluating the enterprise adoption of AI tools
