Introduction to AI Programming for Public Sector Innovation Training Course
AI Programming involves the practical application of programming tools and techniques to develop intelligent systems that facilitate automation, analysis, and service improvement.
This instructor-led live training (available online or on-site) is designed for public sector professionals with limited or emerging experience in AI. It targets those involved in innovation, research, or operational transformation who wish to acquire practical programming skills to explore the development and application of AI tools within government workflows.
By the end 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 interact with AI services and process structured data.
- Create prototypes using AI for tasks such as summarization, classification, or chatbot development.
- Evaluate risks and constraints associated with AI development in the public sector, including privacy, explainability, and compliance.
Format of the Course
- Interactive lectures and discussions.
- Hands-on experience with Python and LLM APIs using public sector examples.
- Guided exercises focused on data analysis, content automation, and workflow prototyping.
Course Customization Options
- To arrange customized training for this course tailored to your department's workflows or internal tools, please contact us.
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 versus 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 versus 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 is required (introductory Python will be covered).
Audience
- Public servants and analysts exploring the use of AI in daily workflows.
- Digital government professionals seeking hands-on skills in AI integration.
- Innovation, transformation, and research teams within 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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