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Duration 14 hours (2 days)
Course Outline
Foundations of AI Programming
- Defining AI programming: key concepts and real-world examples
- Public sector applications of AI: chatbots, summarizers, and intelligent search
- Distinguishing between AI models and traditional programming logic
Introductory Python for AI
- Writing your initial Python scripts
- Managing data structures and control logic
- Essential libraries for AI programming: requests, pandas, json
Utilising AI APIs
- Understanding APIs: securely accessing 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 behaviour
- Prompt engineering and managing output quality
- Red-teaming prototypes to identify bias and hallucinations
Compliance, Ethics, and Responsible Development
- Privacy and explainability requirements in government
- Open-source versus proprietary models: advantages and trade-offs
- A checklist for safe experimentation and scaling up
Summary and Next Steps
Requirements
- Foundational experience with spreadsheets or structured data
- Awareness of public sector service delivery or analytical tasks
- No previous programming background is necessary (introductory Python is included)
Target Audience
- Civil servants and analysts integrating AI into their daily operations
- Digital government professionals looking for practical skills in AI integration
- Government teams focused on innovation, transformation, and research
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.
