This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity. The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye. We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results. Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria. A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented. The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor. The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission. The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.

Many students today use AI tools like ChatGPT, but often in an unsafe or improvised way. Legitimate questions arise: Is it allowed? How can mistakes be avoided? How can AI be used without losing control of one's own thinking? This course isn't about shortcuts or "machine-done work." It focuses on understanding AI as a tool and learning to use it consciously and responsibly. We work with concrete examples from the university setting and show how AI can support learning without compromising academic integrity. One of the course's central themes is AI as a research tool. We'll explore how to define topics, formulate effective research questions, and structure a project from the outset. AI can help gain an overview and organize ideas, but we'll also clearly analyze its limitations and the need for critical self-reflection. From there, we move on to academic writing. From developing outlines and arguments to improving style and clarity, AI can be a valuable tool. We demonstrate how to work with drafts, detect inconsistencies, and avoid common errors that often cause problems in academia. Another section is dedicated to learning with AI. Explaining complex texts, clarifying concepts, reviewing content, and checking one's own understanding are especially valuable uses if the right questions are asked. The goal is to use AI actively, not passively. Finally, we use AI as an intellectual sparring partner. Not as a substitute for our own thinking, but as an interlocutor that helps to compare arguments, raise objections, and explore other perspectives. This is where AI's greatest real value often lies: thinking better, not thinking less. The course is designed for students of any discipline. No prior knowledge is required. The goal is to gain confidence in using AI and learn how to integrate it productively and responsibly into university studies.

This course is designed for individuals who want to learn how to use ChatGPT effectively and consciously, both personally and professionally. It explains the system's basic operation, the different available models and their differences, as well as the tool's capabilities and limitations. We cover environment configuration, the correct use of prompts, adapting language to the objective, and creating custom GPTs. We also introduce image generation and the responsible use of AI in daily work. The approach is practical and critical: it's not about "automating everything," but about learning to use AI as a genuine support for thought and work processes.

Introduction to Linux as a work environment course. This course is designed for people who want to use Linux productively in their daily work, whether as an alternative to Windows or macOS, or as their first introduction to free and open-source operating systems. We start from scratch and explain in an easy-to-understand way how a Linux system works, how the desktop, file system, and user management are organized, and how to install and use common software for everyday tasks. The goal is not just to learn how to "use" Linux, but to understand it well enough to work independently, securely, and efficiently.