Get in Touch
 Duration 14 hours

Course Outline

Foundations of AI Programming

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

Introduction to Python for AI

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

Utilizing AI APIs

  • Understanding APIs: Securely accessing AI models
  • Transmitting text and structured data to models
  • Interfacing with OpenAI, Cohere, or Hugging Face APIs

Developing Basic AI Tools

  • Constructing a document summarizer
  • Prototyping a chatbot for citizen services
  • Employing AI to automatically label public datasets

Assessing Outputs and Limitations

  • Understanding the probabilistic nature of AI behavior
  • Prompt engineering and controlling output quality
  • Red-teaming prototypes to identify bias and hallucinations

Compliance, Ethics, and Responsible Development

  • Privacy and explainability standards in government contexts
  • Open-source versus proprietary models: Advantages and drawbacks
  • Checklist for safe experimentation and scaling

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 experience is required, as introductory Python will be covered

Target Audience

  • Public servants and analysts looking to integrate AI into their daily workflows
  • Digital government professionals seeking practical skills in AI integration
  • Government teams focused on innovation, transformation, and research

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories