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Duration 7 hours
Course Outline
Enterprise AI Tools: An Introduction
- Defining enterprise AI: A review of contemporary AI applications
- Categorizing AI tools: Conversational, generative, and predictive models
- Major industry leaders: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the modern productivity ecosystem
Understanding Large Language Models (LLMs)
- Defining the Large Language Model
- Analyzing ChatGPT, Microsoft Copilot, and Grok
- Strategic importance: Why LLMs are critical for decision-makers
Practical Engagement with AI Tools
- Prompt engineering basics: Techniques for crafting effective instructions
- Managing response tone, structure, and length
- Addressing constraints and solutions (e.g., hallucinations, privacy, formatting)
Applications for Senior Leadership
- Composing and managing professional correspondence
- Condensing insights from Excel and PowerPoint presentations
- Developing and refining meeting talking points
- Extracting key insights from extensive or complex documentation
Strategic Integration and Investment Analysis
- Overview of Microsoft Copilot for enterprise environments
- Case studies of AI-driven productivity across various sectors
- Licensing frameworks and enterprise security protocols
- Measuring ROI and key productivity indicators
Hands-On Activities
- Live demonstrations utilizing ChatGPT and/or Copilot
- Guided prompt exercises based on simulated executive challenges
- Collaborative discussion: Strategies for team-level LLM implementation
Requirements
- Proven experience in strategic or operational leadership roles
- Foundational knowledge of standard office applications like Microsoft Word, Excel, and PowerPoint
- No prior coding or technical expertise is necessary
Target Audience
- Senior executives and leadership teams
- Directors and department managers seeking to integrate AI-driven processes
- Key stakeholders evaluating the enterprise-wide adoption of AI technologies
