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

Introductory Python for AI

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

Utilizing AI APIs

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

Building Simple AI Tools

  • Developing a document summarizer
  • Prototyping a chatbot for citizen services
  • Automating the labeling of public datasets using AI

Assessing Outputs and Limitations

  • Understanding probabilistic behavior in AI
  • Prompt engineering and optimizing output quality
  • Conducting red-team exercises to identify bias and hallucinations in prototypes

Compliance, Ethics, and Responsible Development

  • Privacy and explainability requirements within government frameworks
  • Open-source vs proprietary models: Advantages and disadvantages
  • Checklists 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 experience is necessary, as introductory Python concepts will be covered

Target Audience

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

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories