Predictive Maintenance with Digital Twins and Machine Learning

This course introduces predictive maintenance, combining core concepts with practical tools. You’ll learn data preprocessing, feature extraction, and fault classification, supported by hands-on MATLAB examples. We’ll cover forecasting Remaining Useful Life (RUL) and using Simulink to generate and analyze fault scenarios. You’ll also explore deployment and integration strategies to apply your models in real operations. A set of useful resources will help you continue learning and refining your skills after the course. Organized in collaboration with CES Simulations, the authorized reseller of MathWorks and Speedgoat in the Middle East.

Live session is scheduled on  11 September 2025 at 6pm Dubai time.