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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
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.