Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Foundations of AI Programming
- What is AI programming? Key concepts and examples
- AI applications in the public sector: chatbots, summarizers, and intelligent search
- Differences between AI models and traditional programming logic
Introductory Python for AI
- Writing your first Python scripts
- Working with data structures and control logic
- Essential libraries for AI programming: requests, pandas, and json
Using AI APIs
- Understanding APIs and securely accessing AI models
- Sending text and structured data to models
- Working with OpenAI, Cohere, or Hugging Face APIs
Creating Simple AI Tools
- Building a document summarizer
- Prototyping a chatbot for citizen services
- Using AI to automatically label public datasets
Evaluating Outputs and Limitations
- Understanding probabilistic AI behavior
- Prompt engineering and managing output quality
- Testing prototypes for bias and hallucinations
Compliance, Ethics, and Responsible Development
- Privacy and explainability requirements in government
- Open-source versus proprietary models: advantages and disadvantages
- Checklist for safe experimentation and scaling up
Summary and Next Steps
Requirements
- Basic experience with spreadsheets or structured data
- Familiarity with public sector service delivery or analysis tasks
- No prior programming experience is necessary (introductory Python will be covered)
Audience
- Public servants and analysts exploring AI integration into daily workflows
- Digital government professionals seeking practical skills in AI integration
- Innovation, transformation, and research teams within government agencies
14 Hours
Testimonials (1)
I got to learn more about Microsoft Copilot, something that I thought was the same as chatGPT but I got to discover more exciting options that I will forever use to make my life easy.