Description
AI/ML for Fluid dynamics: An online course
Course Type: Learn at Your Pace
Machine Learning (ML) and Artificial Intelligence (AI) are transforming fluid dynamics, enabling faster simulations, smarter turbulence modeling, and innovative flow-control strategies. For CFD engineers and students, upskilling in AI is essential to stay competitive, accelerate research, and contribute to the next generation of engineering solutions. In this course, you will learn the fundamentals and the new trends in machine learning for fluid dynamics and engineering. With a practical style, combining master classes and code development, you will receive training and support from two world-leading scientists in the field. The course covers basic neural networks, physics-informed architectures, spatial and temporal predictions, control, reduced-order models, and much more.Key information:
- Course Instructor:Â Prof Ricardo Venuesa and Prof Sergio Hoyas
- Course content:Â 10 Lessons (~15 hours of content), including theory and practical sessions involving coding and implementation.
- Active discussion forum: You can directly interact with Prof. Ricardo Venuesa and Prof. Sergio through the discussion forum and clear all your doubts and questions
- Total access period: 12 Months from the day of enrollment
- Access to the course: Once you make the payment, your login ID and password will be sent automatically via email.
- How to access: Once enrolled, you can immediately access by logging in to the portal
Key feature:
Active discussion with experts: Directly interact with the instructors, Prof. Ricardo and Prof. Sergio, via the discussion forum to clarify all your questionsInstructors
Prof. Ricardo Vinuesa : Professor Ricardo Vinuesa is a leading researcher at the intersection of fluid dynamics, artificial intelligence (AI), and sustainability. He is currently an Associate Professor of Aerospace Engineering at the University of Michigan, USA.
Prof. Sergio Hoyas Calvo: Professor Sergio Hoyas Calvo is a Professor of Aerospace Engineering at the Universitat Politècnica de València (UPV) in Spain. He holds a degree and PhD in Mathematical Sciences from the Complutense University of Madrid, completing his doctorate in 2003. His academic career includes research and teaching roles at several Spanish universities, and he also serves as a Lecturer in Mathematics internationally.








