Whether you’re building a digital twin or just want to explore what-if scenarios, this course shows you how to simulate and compute within your OPM models. In this practical course, You’ll use OPCloud to add dynamic behaviour, integrate code, and bring your system logic to life.
We’ll cover how to define local functions and user inputs, integrate with APIs, run simulations using Python or MATLAB, and query SQL databases. By combining system modelling with computation, you’ll gain the power to build intelligent, responsive system models.
By the end of this course, you’ll:
- Simulate system logic and computations using OPCloud’s built-in tools
- Use APIs, user inputs, and predefined or user-defined functions to drive system behaviour
- Integrate Python, MATLAB, and SQL with your system model for external computation and data exchange
- Build and simulate end-to-end systems using OPCloud and companion code from our GitHub repositories
To get the most out of this course, you’ll be able to sign up for a free temporary OPCloud license and gain access to our GitHub repositories in order to follow along and complete the simulation exercises directly in your browser.
This course is ideal for systems engineers, system modellers, or MBSE practitioners who want to integrate system models with computational logic and real data.
A basic familiarity with OPM is recommended, as this course builds on foundational topics introduced earlier in the Getting Started with OPM series.
Time to bring your models to life — let’s get started!
- Engineers interested in dynamic model simulation
- OPM learners exploring computation with data-driven system models
- MBSE professionals aiming to integrate systems with tools like Python and MATLAB
