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 Duration 14 hours

Course Outline

Foundations of Artificial Intelligence in Organizational Operations

  • Defining Artificial Intelligence: Core concepts and practical implementations
  • Categories of AI systems utilized in the workplace (intelligent agents, process automation, data analytics, etc.)
  • Risk assessment, operational limitations, and ethical governance standards

Operational Integration of AI: Security, Workflow Efficiency, and Communication

  • Leveraging AI for the automation of internal administrative processes
  • Enhancing internal and external communication strategies through AI assistance
  • Information security: Establishing best practices for the responsible use of AI tools
  • Specific use cases and recommended toolsets for various departmental functions

AI-Enhanced Productivity: Optimizing Workflows

  • Utilizing AI for the generation of documents, executive summaries, and presentation materials
  • Employing AI as an assistant for research, information organization, and task scheduling
  • Integration with standard productivity suites (Google Workspace, Microsoft 365, etc.)

Fundamentals of Prompt Engineering

  • Definition of prompts and their significance in AI interaction
  • Constructing effective prompts: Ensuring clarity, providing necessary context, and issuing specific directives
  • Practical applications for administrative and operational roles
  • Guided practice using tools such as ChatGPT, Gemini, Copilot, etc.

Strategic Guidelines and Planning for AI Adoption

  • Methods for training staff to ensure safe and strategically aligned AI usage
  • Establishing usage boundaries and internal policy frameworks
  • Roadmap for scalable and sustainable implementation

Summary and Conclusion

Requirements

  • Foundational knowledge of organizational workflows and communication protocols
  • General computer literacy
  • Proficiency in exploring AI tools for productivity enhancement and strategic deployment

Audience

  • Administrative personnel
  • Operations specialists
  • Team leaders and internal support staff

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