This presentation introduces how generative AI and large language models can support scientific work, from writing and coding to data analysis and literature research. It explains the functioning and limitations of AI systems, highlights the importance of effective prompt engineering, and compares commercial and data‑secure academic tools. Emphasis is placed on critical evaluation, responsible use, and transparent reporting of AI‑generated content. Practical exercises illustrate how researchers can safely integrate AI into their workflows.