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Course Outline

Overview of Artificial Intelligence in Organizational Settings

  • Definition of AI: Foundational principles and practical implementations
  • Categories of AI deployed within enterprises (e.g., conversational agents, automation, analytics)
  • Associated risks, operational constraints, and ethical guidelines

Operational Applications: Security, Workflow Automation, and Communication

  • Automating internal workflows using AI technologies
  • Enhancing internal and external communication channels with AI assistance
  • Information security protocols for the responsible use of AI tools
  • Department-specific use cases and recommended software solutions

Enhancing Productivity: Tools for Work Optimization

  • Leveraging AI for document generation, summarization, and presentation development
  • Utilizing AI as an assistant for research, data organization, and task scheduling
  • Integration with standard productivity platforms (e.g., Google Workspace, Microsoft 365)

Principles of Prompt Engineering

  • Defining prompts and their significance in achieving desired outcomes
  • Components of effective prompts: precision, context, and instruction
  • Practical examples tailored for administrative and operational functions
  • Interactive exercises utilizing platforms such as ChatGPT, Gemini, and Copilot

Best Practices and Strategies for AI Adoption

  • Training personnel to ensure safe, strategic, and compliant AI usage
  • Establishing organizational boundaries and usage policies
  • Strategic next steps for scalable implementation within a government context for government

Summary and Conclusion

Requirements

  • Foundational knowledge of corporate operational procedures and communication protocols
  • Proficiency in general computer applications
  • Commitment to leveraging artificial intelligence capabilities for enhanced productivity and strategic decision-making within government contexts

Audience

  • Administrative personnel
  • Operations specialists
  • Team supervisors and internal support staff
 14 Hours

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