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Duration 7 hours
Course Outline
Introduction to Enterprise AI Tools
- Defining enterprise AI: A comprehensive overview of contemporary AI applications
- Categorizing AI tools: Conversational, generative, and predictive systems
- Key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools within the current productivity ecosystem
Introduction to Large Language Models (LLMs)
- Defining Large Language Models (LLMs)
- An overview of ChatGPT, Microsoft Copilot, and Grok
- Enterprise significance: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Prompting essentials: Techniques for writing effective prompts
- Managing response tone, structure, and length
- Addressing limitations and workarounds (e.g., hallucinations, privacy concerns, formatting issues)
Daily Use Cases for Senior Executives
- Drafting and responding to professional correspondence
- Summarizing data from Excel and PowerPoint presentations
- Developing and reviewing meeting talking points
- 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
- Considerations regarding licensing and enterprise security
- Evaluating ROI and productivity KPIs
Practical Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Guided prompting sessions using simulated executive tasks
- Group discussions on applying LLMs to team workflows
Requirements
- Background in strategic or operational management roles
- Familiarity with standard office applications such as Microsoft Word, Excel, and PowerPoint
- No prior programming or technical expertise required
Audience
- Senior management and executive leadership
- Directors and department heads interested in AI-driven workflows
- Decision-makers assessing the enterprise adoption of AI tools
