“With a background in Marine Engineering and a PhD in Control, I was curious to explore how Artificial Intelligence (AI) and transformer-based technologies could help tackle complex engineering problems.” The timing of the program made it a natural choice. What stood out immediately were Sandjai’s clear explanations of both fundamental and state-of-the-art AI concepts. Combined with hands-on coding exercises, the course “significantly accelerated my learning curve” and bridged the gap between theory and practice.
Direct Impact on Research and Practice
Working in maritime safety and intelligent systems, I found the modules on Retrieval-Augmented Generation (RAG) and Agentic AI particularly valuable. These topics align closely with future applications where qualitative knowledge—such as regulations—and quantitative models, like vessel dynamics, must be integrated. The course also sparked the ambition to transfer this knowledge to peers and students.
“I would definitely recommend this course to anyone looking to refresh their knowledge, steer or jump-start their career in AI.” My advice for future participants? Trial and error—experiment, learn from mistakes, and make use of the collaborative learning environment.
