Get in Touch
 Duration 14 hours

Course Outline

Foundations of AI Programming

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

Introductory Python for AI

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

Utilizing AI APIs

  • Understanding APIs: Secure access to AI models
  • Transmitting text and structured data to models
  • Working with OpenAI, Cohere, or Hugging Face APIs

Creating Simple AI Tools

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

Evaluating Outputs and Limitations

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

Compliance, Ethics, and Responsible Development

  • Privacy and explainability requirements in government contexts
  • Open-source vs proprietary models: Advantages and disadvantages
  • A checklist for safe experimentation and scaling up

Summary and Next Steps

Requirements

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

Audience

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

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories