Digital Twins: Enhancing Model-Based Design with AR, VR, and MR Training

Live Online & Classroom Enterprise Training

Learn how to integrate Digital Twin technology with Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) to create intelligent, real-time, and immersive model-based system designs.

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What is Digital Twins: Enhancing Model-Based Design with AR, VR, and MR Course about?

This course provides a comprehensive understanding of Digital Twin concepts and their role in modern model-based design and simulation. Learners will explore how real-world data can be mirrored in virtual environments through AR, VR, and MR technologies to enable predictive maintenance, simulation, and system optimization. The training covers Digital Twin architecture, design workflows, and practical use cases across industries such as manufacturing, automotive, energy, and smart infrastructure. By the end of the course, participants will be able to develop and visualize Digital Twin solutions for advanced engineering and operational insights.

What are the objectives of Digital Twins: Enhancing Model-Based Design with AR, VR, and MR Course ?

Understand the core principles and lifecycle of Digital Twin systems.
Integrate AR, VR, and MR for immersive model-based visualization.
Learn to simulate and optimize real-time systems using twin data.
Explore industrial use cases and design workflows using Digital Twins.
Gain hands-on experience with leading Digital Twin platforms and tools.

Who is Digital Twins: Enhancing Model-Based Design with AR, VR, and MR Course for?

System Engineers and Product Designers.
Data Scientists and Simulation Engineers.
AR/VR/MR Developers exploring industrial applications.
IoT and Automation Professionals.
R&D and Innovation Managers in manufacturing or engineering sectors.

What are the prerequisites for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR Course?

Prerequisites:

Basic understanding of system modeling and simulation concepts.
Familiarity with IoT, AI, or data-driven systems.
Knowledge of 3D visualization or CAD tools (preferred).
Experience with MATLAB/Simulink or similar modeling software.
Foundational knowledge of AR/VR/MR technologies.

Learning Path:

Introduction to Digital Twins and Model-Based Design
Digital Twin Architecture and Data Integration
Applying AR, VR, and MR for Real-Time Visualization
Building Predictive Models and Simulations
Implementing and Managing Digital Twin Solutions

Related Courses:

Internet of Things (IoT) Fundamentals
Model-Based Systems Engineering (MBSE)
AR/VR/MR Application Development
Predictive Analytics and Simulation Modeling

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1: Digital Twin in Model-Based Engineering

Application examples in operations optimisation, control system design, and predictive maintenance

Cloud & deployment in production systems

Module 2: Introduction to MATLAB & Simulink

Analyse data for a digital twin

Run a Simulink model and interpret results

Module 3: Digital Twin Simulation

Approaches to simulation: first principle, componentised, data-driven, simulators

Generating synthetic data from simulations

Module 4: Introduction to Simscape

Create a model for a simple component

Simulate an electrical fault in a motor

The role Digital twins in Model Based Systems Engineering (MBSE) recap

Module 5: Introduction to Data-Driven Modelling

Understanding Data Sources & Feature Engineering

Building & Validating Predictive Models

Module 6: Digital Twin & AI

Fit an ML (machine learning) model to create a surrogate model

Detection

Module 7: Digital Twin & VR-AR-MR

Playback, co-sim, & integration workflows

ROS (Robot Operating System) & ROS Toolbox

Who is the instructor for this training?

The trainer for this Digital Twins: Enhancing Model-Based Design with AR, VR, and MR Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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