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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
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.