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 Duration 14 hours (2 days)

Course Outline

Fundamentals of AI Programming

  • Defining AI programming: essential concepts and real-world examples
  • Leveraging AI in the public sector: chatbots, summarization engines, and intelligent search
  • Distinguishing AI models from traditional programming logic

Python Essentials for AI

  • Developing your initial Python scripts
  • Manipulating data structures and control flow
  • Core libraries for AI development: requests, pandas, and json

Integrating AI APIs

  • Understanding APIs: secure access to AI models
  • Transmitting text and structured data to models
  • Utilizing APIs from OpenAI, Cohere, or Hugging Face

Developing Basic AI Tools

  • Constructing a document summarization tool
  • Prototyping a chatbot for citizen-facing services
  • Applying AI for automated labeling of public datasets

Assessing Outputs and Constraints

  • Comprehending the probabilistic nature of AI
  • Prompt engineering strategies and output quality management
  • Red-teaming prototypes to identify bias and hallucinations

Compliance, Ethics, and Responsible AI Development

  • Government requirements for privacy and explainability
  • Comparing open-source and proprietary models: advantages and trade-offs
  • A checklist for safe experimentation and scaling solutions

Recap and Future Directions

Requirements

  • Basic proficiency with spreadsheets or structured data
  • Experience with public sector service delivery or analytical tasks
  • No previous programming knowledge is necessary (basic Python is included)

Target Audience

  • Civil servants and analysts integrating AI into their daily operations
  • Digital government specialists seeking practical AI integration skills
  • Government teams focused on innovation, transformation, and research

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