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Course Outline

1. Overview of Artificial Intelligence

  • Defining Artificial Intelligence

  • Common applications in daily operations

  • Strategic importance of AI
     

2. Fundamentals of AI Operations (Simplified)

  • Core framework: data → model → output

  • Learning methodologies:

    • Supervised learning

    • Unsupervised learning

    • Reinforcement learning
       

3. AI Applications in Public Service and Professional Contexts

  • Automated text generation

  • Image and document analysis capabilities

  • Voice and video recognition technologies
     

4. Interaction with AI Systems

  • Understanding system prompts

  • Guidelines for effective prompt construction

  • Illustrative case studies
     

5. Ethical Considerations and Accountability in AI

  • Identified risks and operational challenges

  • Protocols for data protection
     

6. Selection and Implementation of AI Tools

  • Catalog of available systems suitable for government use

  • Procedures for verifying safety standards and regulatory compliance
     

7. Future Directions in AI and Workforce Preparedness

  • Emerging technological trends

  • Essential competencies for future readiness
     

8. AI Impact on Organizational Operations

  • Potential efficiency gains in workflow management

  • Operational challenges and mitigation strategies

  • Sector-specific implementation examples
     

This curriculum applies to all categories of AI systems, including widely utilized platforms such as ChatGPT, Copilot, and other comparable technologies.

Requirements

Basic competency in information technology
 7 Hours

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Price per participant

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