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 Duration 14 hours

Course Outline

Fundamentals of AI Programming

  • Defining AI programming: Key concepts and real-world examples.
  • AI applications in the public sector, such as chatbots, summarizers, and intelligent search.
  • Comparing AI models with traditional programming logic.

Introductory Python for AI Applications

  • Writing your first Python scripts.
  • Managing data structures and control flow.
  • Essential libraries for AI programming: requests, pandas, and json.

Utilizing AI APIs

  • Understanding APIs and securely accessing AI models.
  • Transmitting text and structured data to models.
  • Working with APIs from providers such as OpenAI, Cohere, or Hugging Face.

Developing Basic AI Tools

  • Creating a document summarization tool.
  • Prototyping a chatbot for citizen services.
  • Applying AI to automatically label public datasets.

Assessing Outputs and Limitations

  • Understanding the probabilistic nature of AI behavior.
  • Prompt engineering and strategies for managing output quality.
  • Conducting red-teaming exercises to identify bias and hallucinations in prototypes.

Compliance, Ethics, and Responsible Development

  • Privacy and explainability requirements within government contexts.
  • Comparing open-source and proprietary models: advantages and disadvantages.
  • A checklist for safe experimentation and scaling up implementations.

Course Summary and Next Steps

Requirements

  • Basic proficiency in working with spreadsheets or structured data.
  • Familiarity with public sector service delivery or analytical tasks.
  • No prior programming background is necessary, as introductory Python concepts will be covered.

Target Audience

  • Public servants and analysts interested in integrating AI into their daily routines.
  • Digital government professionals looking to acquire hands-on AI integration skills.
  • Government teams focused on innovation, transformation, and research.

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