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Duration 7 hours
Course Outline
Overview of Artificial Intelligence (AI) Applications in the Enterprise
- Defining enterprise AI and reviewing current application landscapes
- Categorization of AI systems: conversational, generative, and predictive models
- Major providers including OpenAI, Microsoft, Google, Meta, and Anthropic
- Integration of AI capabilities within contemporary productivity frameworks
Fundamentals of Large Language Models (LLMs)
- Explanation of Large Language Model architecture and function
- Analysis of specific platforms: ChatGPT, Microsoft Copilot, and Grok
- Strategic significance of LLMs for executive decision-making
Operationalizing AI Tools in Professional Settings
- Core principles of prompting: techniques for generating effective instructions
- Managing output parameters: tone, structure, and length control
- Mitigating constraints such as hallucinations, data privacy risks, and formatting issues
Routine Applications for Senior Leadership
- Composing and responding to professional correspondence
- Condensing data from Excel spreadsheets and PowerPoint presentations
- Developing and evaluating discussion points for formal meetings
- Extracting key insights from extensive or complex documentation
Strategic Deployment and Investment Analysis
- Overview of Microsoft Copilot capabilities for enterprise environments
- Illustrations of AI-enhanced productivity across various sectors
- Addressing licensing compliance and enterprise security protocols
- Assessing Return on Investment (ROI) and key productivity metrics
Applied Practical Exercises
- Live demonstration using ChatGPT and/or Copilot interfaces
- Guided prompting sessions utilizing simulated executive responsibilities
- Facilitated group discussion on team-specific LLM implementation strategies
Conclusion and Subsequent Actions
Requirements
- Background in strategic or operational management functions
- Foundational proficiency with standard office applications, including Microsoft Word, Excel, and PowerPoint
- No programming experience or specialized technical background is required
Target Audience
- Senior management and executive leadership personnel
- Directors and department heads investigating AI-driven workflow enhancements
- Decision-makers assessing the enterprise-wide adoption of AI tools for government