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 Duration 7 hours

Course Outline

1. Introduction to Artificial Intelligence

  • Defining Artificial Intelligence

  • Examples in daily operations

  • Strategic significance of AI

2. Operational Mechanics of AI

  • Core process: data → model → output

  • Learning methodologies:

    • Supervised learning

    • Unsupervised learning

    • Feedback-directed optimization

3. Applications in Public and Professional Sectors

  • Text generation and synthesis

  • Visual and document analytics

  • Audio and video identification systems

4. Interaction Protocols with AI Systems

  • Definition and structure of prompts

  • Best practices for prompt engineering

  • Illustrative use cases

5. Ethical Standards and Accountability in AI

  • Risk assessment and mitigation

  • Data security and privacy safeguards

6. Selection and Utilization of AI Tools

  • Accessible platform examples

  • Compliance verification and security standards

7. Future Trajectory and Preparedness

  • Emerging technological trends

  • Critical competencies for future roles

8. AI Impact on Organizational Operations

  • Operational efficiencies and enhancements

  • Workplace disruptions and challenges

  • Cross-industry case studies

This curriculum applies to various AI architectures, including widely adopted platforms such as ChatGPT, Copilot, and comparable systems.

Requirements

Basic computer proficiency

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