Digital Twin and Real-Time Simulation

About this course

Build digital twin simulation models that mirror physical systems in real time. Integrate sensor data, update model parameters dynamically, and use simulation for predictive decision-making and anomaly detection.

• 20 lessons
• 2 h
• advanced

What you'll learn

• Define a digital twin and differentiate it from a static or one-way simulation model
• Describe the layered architecture of a real-time digital twin pipeline
• Select an appropriate physics modeling formulation for a given asset type
• Identify state variables, parameters, and inputs for a physical model
• Choose a solver and step size that meet real-time constraints
• Describe fixed-step vs. variable-step execution strategies

Finishing the course

• 80 knowledge-check questions along the way, so you know the ideas stuck before you move on.
• Watching is free and needs no account. Sign in to save your progress. Pass each lesson's quiz (60%+) to earn the certificate. Each certificate has its own public verification link to share, marked quiz-verified.

Created by