Workshops - Trainings

Artificial intelligence is being applied in more and more areas of our lives, including virtual product development. However, few engineers have received comprehensive training in this field, making it difficult to assess opportunities and suitable applications of AI. This software-independent course bridges this gap by linking the fundamentals of machine learning with practical exercises based on open-source libraries, thus opening the door to this megatrend. From the structure and training of neural networks to sensitivity analyses and probabilistic machine learning models, this course prepares you to understand and use modern AI tools in Ansys (such as Stochos). These tools allow you to replace simulations with trained AI models, making predictions for new designs with comparable accuracy in a fraction of the time.

Whether you are a fluid mechanic, structural mechanic, or electromagnetics engineer, this course is suitable for any engineer with basic Python skills, regardless of their physical work area.