Plan Szkolenia

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

Wymagania

  • 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
 14 godzin

Liczba uczestników


cena netto za uczestnika

Propozycje terminów

Powiązane Kategorie