Prompt Engineering in Practice: From Prompt to Result

• users who already have basic experience with AI tools (ChatGPT, Claude, Gemini)
• professionals who regularly use AI for writing, analysis and communication
• anyone who wants to systematically improve the quality and consistency of their prompts
• those who want to build a reusable library of prompt templates

We will teach participants how to systematically create, test and maintain high-quality prompts for various types of tasks — moving them from a trial-and-error approach to becoming a prompt engineer who understands why a prompt works or doesn't.

Basic knowledge of working with a PC and common office tools is assumed.

The course begins with understanding the fundamental principles of how LLM models work and learning the CRISP framework for structured prompt creation. Using concrete real-world examples (emails, articles, document summarisation), participants will practise rewriting everyday prompts into professional templates. They will then explore advanced prompt engineering techniques, including chain-of-thought prompting, few-shot learning and role prompting, which significantly improve the quality and consistency of AI outputs. A key part of the course is the systematic testing and optimisation of prompts using proven methodologies, enabling participants to create increasingly better and more reliable prompts. The course concludes with organising and maintaining a personal Prompt Library, allowing participants to make long-term effective use of their templates and continuously develop their prompt engineering skills.