I will share with the audience a story on how current Trends in AI and Math Education are starting to shape the way I teach Data Science to post-graduate students. We are exploring the use of Generative AI to personalize learning of basic concepts such as Linear Regression. An Artificial Intelligence tool "looks into'' a YouTube video that we have previously watched, and automatically generates a 10-question quiz that I then use to go through an interactive Q&A session where I play the role of a job interviewer. The target is for the students to practice the necessary skills to explain the algorithm and some of the mathematics behind Linear Regression. The better they can explain it, the more they understand it, and the greater their chances of landing a job when the real-life interview takes place. Generative AI is not perfect, so my students and I discuss how good the tool really is and they get to be the judges on how effective it is for their learning process. Bio: David Espinosa currently serves as a professor of Applied Artificial Intelligence & Machine Learning at the Conestoga College School of Applied Computer Science & Information Technology. He is the former Team Lead of the Toyota Motor Manufacturing Canada Innovation Laboratory and the Manufacturing Engineering & Statistical Process Control group where he implemented projects that fostered the adoption of innovative technology for manufacturing, IoT and Industry 4.0. He is a generalist with more than 35 years’ experience as a cross-disciplinary researcher, academic, industry consultant, systems analyst, and entrepreneur. He holds a PhD in Artificial Intelligence for Education and Service Science. He also holds a master's degree in business, Entrepreneurship & Technology. His current research is on methods, systems, strategies, and policies for providing the current and future manufacturing workforce with ways to adopt new Intelligent Systems for Manufacturing and to better adapt to the factory of the future and AI automation.