Introduction to AI Programming for Public Sector Innovation Training Course
AI programming involves the practical application of coding tools and methods to develop intelligent systems that facilitate automation, analysis, and service improvement.
This instructor-led live training, available either online or onsite, is designed for public sector professionals who have limited or developing experience in AI. It targets those involved in innovation, research, or operational transformation who wish to acquire practical programming skills to explore how AI tools can be constructed and integrated into government workflows.
Upon completion of this training, participants will be capable of:
- Grasping fundamental AI concepts, such as large language models, APIs, and intelligent automation.
- Writing basic Python scripts to interact with AI services and process structured data.
- Developing prototypes using AI for functions like summarization, classification, or chatbot creation.
- Assessing the risks and constraints associated with AI development in the public sector, including privacy, explainability, and compliance issues.
Course Format
- Interactive lectures and discussions.
- Practical application of Python and LLM APIs using public sector examples.
- Guided exercises centered on data analysis, content automation, and workflow prototyping.
Course Customization Options
- To request tailored training for this course that aligns with your department's specific workflows or internal tools, please contact us to arrange.
Course Outline
Foundations of AI Programming
- What constitutes AI programming? Key concepts and examples.
- Public sector applications of AI: chatbots, summarizers, and intelligent search.
- Differences between AI models and traditional programming logic.
Introductory Python for AI
- Writing your first Python scripts.
- Working with data structures and control logic.
- Essential libraries for AI programming: requests, pandas, and json.
Using AI APIs
- Understanding APIs and securely accessing AI models.
- 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.
- Conducting red-team tests on prototypes for bias and hallucinations.
Compliance, Ethics, and Responsible Development
- Privacy and explainability requirements in government.
- Open-source vs proprietary models: advantages and disadvantages.
- Checklist for safe experimentation and scaling 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 necessary (introductory Python will be covered).
Audience
- Public servants and analysts exploring the use of AI in their 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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