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Duration 7 hours
Course Outline
Introduction to AI Tools in the Enterprise
- Defining enterprise AI: An overview of contemporary AI applications
- Categorizing AI tools: conversational, generative, and predictive
- Major players in the ecosystem: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within today’s productivity stack
Introduction to Large Language Models (LLMs)
- What constitutes a Large Language Model?
- Exploring ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs matter to decision-makers
Practical Application of AI Tools
- Prompting fundamentals: Strategies for writing effective prompts
- Managing the tone, structure, and length of AI responses
- Navigating limitations and workarounds (e.g., hallucinations, privacy concerns, formatting issues)
Everyday Use Cases for Senior Executives
- Drafting and responding to professional emails
- Summarizing reports in Excel and PowerPoint
- Formulating and reviewing talking points for meetings
- Extracting key insights from lengthy or complex documents
Strategic Integration and Investment Scenarios
- Overview of Microsoft Copilot for enterprise environments
- Examples of AI-driven productivity gains across various industries
- Licensing considerations and enterprise security protocols
- Evaluating ROI and productivity KPIs
Practical Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Prompting walkthroughs based on simulated executive tasks
- Group discussion: Exploring how your team can apply LLMs
Requirements
- Experience in strategic or operational management roles
- Basic familiarity with office suites such as Microsoft Word, Excel, and PowerPoint
- No programming or technical background is required
Audience
- Senior management and executive leadership
- Directors and department heads exploring AI-driven workflows
- Decision-makers evaluating the enterprise adoption of AI tools
