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Course Outline

Foundations of AI Programming

  • What is AI programming? Key concepts and examples
  • AI applications in the public sector: chatbots, summarizers, and intelligent search
  • Differences between AI models and traditional programming logic

Introductory Python for AI

  • Writing your first Python scripts
  • Working with data structures and control logic
  • Essential libraries for AI programming: requests, pandas, and json

Using AI APIs

  • Understanding APIs and securely accessing AI models
  • Sending text and structured data to models
  • Working with OpenAI, Cohere, or Hugging Face APIs

Creating Simple AI Tools

  • Building a document summarizer
  • Prototyping a chatbot for citizen services
  • Using AI to automatically label public datasets

Evaluating Outputs and Limitations

  • Understanding probabilistic AI behavior
  • Prompt engineering and managing output quality
  • Testing prototypes for bias and hallucinations

Compliance, Ethics, and Responsible Development

  • Privacy and explainability requirements in government
  • Open-source versus proprietary models: advantages and disadvantages
  • Checklist for safe experimentation and scaling up

Summary and Next Steps

Requirements

  • Basic experience with spreadsheets or structured data
  • Familiarity with public sector service delivery or analysis tasks
  • No prior programming experience is necessary (introductory Python will be covered)

Audience

  • Public servants and analysts exploring AI integration into daily workflows
  • Digital government professionals seeking practical skills in AI integration
  • Innovation, transformation, and research teams within government agencies
 14 Hours

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