Generative artificial intelligence (AI) technologies, such as large language models (LLMs) and diffusion model image and video generators, can transform learning and teaching experiences by providing students and instructors with access to a vast amount of information and create innovative learning and teaching materials in a very efficient way (e.g., U.S. Department of Education, 2023; Kasneci et al., 2023; Mollick & Mollick, 2023; Nikolic et al., 2023). For example, Google Bard and OpenAI ChatGPT are LLMs that can generate natural language texts for various purposes, such as summaries of research papers (e.g., OpenAI, 2023). At the same time, Midjourney and DeepBrain AI are diffusion models that can create diagrams (e.g., concept maps), images, and videos from textual or visual inputs. Engineering education, in particular, can benefit from integrating and utilizing generative AI technologies to improve instructional resources, develop new technology-enhanced learning environments, reduce instructors' workloads, and provide students with opportunities to design and develop their learning experiences. These technologies can help educators to create more personalized, effective, and engaging learning experiences for engineering students.