Course Outline
1. Overview of Artificial Intelligence
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Defining Artificial Intelligence
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Common applications in daily operations
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Strategic importance of AI
2. Fundamentals of AI Operations (Simplified)
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Core framework: data → model → output
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Learning methodologies:
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Supervised learning
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Unsupervised learning
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Reinforcement learning
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3. AI Applications in Public Service and Professional Contexts
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Automated text generation
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Image and document analysis capabilities
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Voice and video recognition technologies
4. Interaction with AI Systems
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Understanding system prompts
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Guidelines for effective prompt construction
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Illustrative case studies
5. Ethical Considerations and Accountability in AI
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Identified risks and operational challenges
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Protocols for data protection
6. Selection and Implementation of AI Tools
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Catalog of available systems suitable for government use
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Procedures for verifying safety standards and regulatory compliance
7. Future Directions in AI and Workforce Preparedness
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Emerging technological trends
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Essential competencies for future readiness
8. AI Impact on Organizational Operations
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Potential efficiency gains in workflow management
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Operational challenges and mitigation strategies
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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
Testimonials (2)
the trainer, the amount and the quality of information
ALINA UNGURU
Course - Introduction to Artificial Intelligence for Non-technical users
Hands on examples