Course description

The objective of the course is to develop students’ practical and critical competence in using generative artificial intelligence in academic and professional contexts. Students learn how to apply AI tools to research synthesis, document drafting, presentation design, and workflow optimization without programming requirements. The course strengthens the ability to evaluate the quality and limitations of AI-generated outputs, verify information, document AI use transparently, and manage ethical and legal risks. It prepares students to integrate generative AI responsibly and effectively into interdisciplinary study and workplace practice.     

This course introduces students to the applied and responsible use of generative artificial intelligence in academic and professional environments. Through hands-on workshops, students learn how to support research, writing, analysis, and communication tasks with AI tools while maintaining critical judgment and human accountability. The course focuses on designing reliable workflows, verifying AI-generated outputs, transparently documenting AI use, and managing ethical, legal, and data protection risks. No programming skills are required. Students work with multiple AI tools and interdisciplinary case studies, developing transferable competencies for real-world academic and workplace applications.