Introduction to AI Programming for Public Sector Innovation Training Course
AI programming involves the practical use of coding tools and techniques to develop intelligent systems that support automation, data analysis, and service improvement.
This instructor-led live training, available online or onsite, targets public sector professionals with little to no prior AI experience. It is designed for those involved in innovation, research, or operational transformation who wish to acquire practical programming skills to explore how AI tools can be constructed and applied within government processes.
Upon completing this training, participants will be able to:
- Grasp fundamental AI concepts, such as large language models, APIs, and intelligent automation.
- Write basic Python scripts to interact with AI services and process structured data.
- Develop prototypes using AI for tasks such as text summarization, classification, and chatbot creation.
- Assess the risks and constraints associated with AI development in the public sector, including privacy, explainability, and regulatory compliance.
Course Format
- Interactive lectures and discussions.
- Practical application of Python and LLM APIs using public sector examples.
- Guided exercises focused on data analysis, content automation, and workflow prototyping.
Customization Options
- To request a tailored version of this course that aligns with your department's specific workflows or internal tools, please contact us to make arrangements.
Course Outline
Foundations of AI Programming
- What is AI programming? Key concepts and real-world 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, json
Using AI APIs
- Understanding APIs and securely accessing AI models
- Sending text and structured data to AI models
- Working with APIs from OpenAI, Cohere, or Hugging Face
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 the probabilistic nature of AI behavior
- Prompt engineering and managing output quality
- Red-teaming your prototypes to identify bias and hallucinations
Compliance, Ethics, and Responsible Development
- Privacy and explainability requirements in government contexts
- Open-source vs proprietary models: pros and cons
- 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 required (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 organizations
Open Training Courses require 5+ participants.
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Testimonials (1)
Knowledge of AI
Agnieszka Socha - Koenig & Bauer (CEE) Sp. z o.o.
Course - AI Tools for Administrative Efficiency (ChatGPT, Copilot, Gemini)
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