Teaching Engineering of AI-intensive Systems

With AI increasingly affecting software systems, there is a pressing need to prepare the next generation of software engineers to build AI-intensive systems proficiently. This work outlines our instructional approach in the “Engineering of AI-intensive Systems” course for postgraduate computer science students to bridge the knowledge gap between software engi-neering (SE) and artificial intelligence (AI) disciplines. Our paper elaborates on the course's framework, pedagogical strategies, and evaluation methods, emphasizing the benefits of this interdisci-plinary educational model.