Introduction to AI Programming for Public Sector Innovation Training Course
AI programming involves the practical use of coding tools and methods to develop intelligent systems that support automation, data analysis, and improved service delivery.
This instructor-led live training (available online or in-person) is designed for public sector professionals who have little to no prior AI experience but are involved in innovation, research, or operational transformation. The course aims to build practical coding skills so participants can explore how AI tools can be developed and integrated into government processes.
Upon completion of 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 handle structured data.
- Develop AI prototypes for tasks like summarization, classification, or creating chatbots.
- Assess risks and constraints related to AI development in the public sector, including privacy, transparency, and compliance.
Course Format
- Interactive lectures and group discussions.
- Practical exercises using Python and LLM APIs with public sector scenarios.
- Guided activities focused on data analysis, content automation, and workflow prototyping.
Customization Options
- To arrange customized training tailored to your department's specific workflows or internal tools, please contact us.
Course Outline
AI Programming Foundations
- 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
Introduction to Python for AI
- Writing your first Python scripts
- Working with data structures and control flow
- Essential libraries for AI programming: requests, pandas, json
Utilizing AI APIs
- Understanding APIs and securely accessing AI models
- Sending text and structured data to AI models
- Working with OpenAI, Cohere, or Hugging Face APIs
Building Simple AI Tools
- Creating a document summarizer
- Prototyping a chatbot for citizen services
- Using AI to automatically label public datasets
Evaluating Outputs and Limitations
- Understanding the probabilistic nature of AI behavior
- Prompt engineering and managing output quality
- Testing prototypes for bias and hallucinations
Compliance, Ethics, and Responsible Development
- Privacy and transparency requirements in government contexts
- Open-source versus proprietary models: advantages and disadvantages
- Checklist for safe experimentation and scaling up
Summary and Next Steps
Requirements
- Basic experience using spreadsheets or working with structured data
- Familiarity with public sector service delivery or analytical tasks
- No prior programming experience is necessary (introductory Python will be taught)
Target Audience
- Public servants and analysts exploring the use of AI in their daily work
- Digital government professionals looking to gain hands-on AI integration skills
- Government innovation, transformation, and research teams
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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