Introduction to AI Programming for Public Sector Innovation Training Course
AI Programming involves the practical application of coding tools and techniques to develop intelligent systems that facilitate automation, data analysis, and the enhancement of services.
This instructor-led live training, available online or onsite, is designed for public sector professionals with limited or emerging experience in AI who support innovation, research, or operational transformation. It aims to provide practical programming skills to explore how AI tools can be constructed and applied within government workflows.
Upon completion of this training, participants will be able to:
- Grasp core AI concepts, including large language models, APIs, and intelligent automation.
- Write simple Python scripts to call AI services and process structured data.
- Create prototypes using AI for tasks such as summarization, classification, or chatbot development.
- Evaluate the risks and constraints of AI development in the public sector, including privacy, explainability, and compliance.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises using Python and LLM APIs with public sector examples.
- Guided exercises focused on data analysis, content automation, and workflow prototyping.
Customization Options
- To request customized training tailored to your department's workflows or internal tools, please contact us to arrange.
Course Outline
Foundations of AI Programming
- What is AI programming? Key concepts and examples
- Public sector applications of AI: chatbots, summarizers, intelligent search
- AI models vs traditional programming logic
Introductory Python for AI
- Writing your first Python scripts
- Working with data structures and control logic
- Libraries for AI programming: requests, pandas, json
Using AI APIs
- What is an API? Accessing AI models securely
- 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 auto-label public datasets
Evaluating Outputs and Limitations
- Understanding probabilistic AI behavior
- Prompt engineering and managing output quality
- Red-teaming your prototypes for bias and hallucinations
Compliance, Ethics, and Responsible Development
- Privacy and explainability requirements in government
- Open-source vs proprietary models: pros and cons
- Checklist for safe experimentation and scale-up
Summary and Next Steps
Requirements
- Basic experience working with spreadsheets or structured data
- Familiarity with public sector service delivery or analysis tasks
- No prior programming experience required (introductory Python will be covered)
Audience
- Public servants and analysts exploring AI use in daily workflows
- Digital government professionals seeking hands-on skills in AI integration
- Innovation, transformation, and research teams in government
Open Training Courses require 5+ participants.
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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.
Thato Malapane - MSP Mine Support Products (Pty) ltd
Course - AI Tools for Administrative Efficiency (ChatGPT, Copilot, Gemini)
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