Get in Touch

Course Outline

Fundamentals of AI Programming

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

Beginner Python for AI

  • Creating your initial Python scripts
  • Handling data structures and control flow
  • Essential libraries for AI coding: requests, pandas, json

Utilizing AI APIs

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

Developing Basic AI Tools

  • Constructing a document summarization tool
  • Prototyping a chatbot for citizen-facing services
  • Automating the labeling of public datasets using AI

Assessing Outputs and Limitations

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

Compliance, Ethics, and Responsible Development

  • Government requirements for privacy and explainability
  • Open-source vs. proprietary models: Advantages and drawbacks
  • A checklist for safe experimentation and scaling

Recap and Future Steps

Requirements

  • Basic familiarity with spreadsheets or handling structured data
  • Understanding of public sector service delivery or analytical tasks
  • No prior coding experience is necessary (beginner Python will be introduced)

Target Audience

  • Government officials and analysts looking to integrate AI into daily operations
  • Digital government specialists seeking practical skills in AI implementation
  • Government teams focused on innovation, transformation, and research
 14 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories