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

The "Digital Twins: Enhancing Model-based Design with AR, VR and MR" course is a comprehensive program designed to educate learners on the integration of <a href="#topic18880"class='topicdatalink'>Digital Twin Technology</a> with advanced visualization techniques like <a href="#topic18881"class='topicdatalink'>Augmented Reality (AR)</a>, <a href="#topic18882"class='topicdatalink'>Virtual Reality (VR)</a>, and <a href="#topic18883"class='topicdatalink'>Mixed Reality (MR)</a>. Through this course, participants will delve into the application of digital twins in <a href="#topic18884"class='topicdatalink'>Operations Optimization</a>, <a href="#topic18885"class='topicdatalink'>Control System Design</a>, <a href="#topic18886"class='topicdatalink'>Predictive Maintenance</a>, and deployment within production systems. They will gain hands-on experience with <a href="#topic18888"class='topicdatalink'>MATLAB & Simulink</a>, exploring <a href="#topic18889"class='topicdatalink'>Data Analysis</a> and <a href="#topic18890"class='topicdatalink'>Simulation Interpretation</a>, and they will understand different simulation approaches, including the creation of synthetic data.<br><br>Learners will also be introduced to <a href="#topic18892"class='topicdatalink'>Simscape</a> for <a href="#topic18893"class='topicdatalink'>Component Modeling</a> and <a href="#topic18894"class='topicdatalink'>Fault Simulation</a>, and will revisit the role of digital twins in <a href="#topic18895"class='topicdatalink'>Model Based Systems Engineering (MBSE)</a>. The course includes a focus on <a href="#topic18896"class='topicdatalink'>Data-driven Modeling</a> using <a href="machine-learning-training">machine learning</a> to create <a href="#topic18898"class='topicdatalink'>Surrogate Models</a>, and it demonstrates how digital twins can be enhanced with AI for tasks like detection. A significant highlight of the course is the integration of digital twins with VR-AR-MR, where learners will explore <a href="#topic18901"class='topicdatalink'>Playback</a>, <a href="#topic18902"class='topicdatalink'>Co-simulation</a>, and <a href="#topic18903"class='topicdatalink'>Workflows</a> using tools like the <a href="#topic18904"class='topicdatalink'>ROS Toolbox</a>. By completing this digital twins course, participants will be equipped with cutting-edge skills to improve model-based design practices.

40 Hours (5 Days)
Live Online / Classroom
1+ professionals trained

Training Formats & Pricing

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Course Overview

The course Digital Twins: Enhancing Model-Based Design with AR, VR, and MR by Open Source is designed for simulation engineers, systems engineers, and AR/VR developers seeking to master the integration of digital twin technology with immersive modeling environments. While no formal certification exam is associated with the program, it aligns with emerging industry standards led by the Open Source Initiative at the Digital Twin Consortium, supported by Microsoft, Bentley Systems, and DELL. Targeting professionals in manufacturing, construction, and smart infrastructure, the course addresses a market projected to reach $110 billion by 2028, with over 60% of industrial firms already piloting digital twin deployments for predictive maintenance and design optimization.

Participants engage with key technologies including MATLAB, Simulink, Simscape, Unity (UE4), ROS (Robot Operating System), and ROS Toolbox within a live online lab environment featuring code walkthroughs and case study implementations. Students build and simulate engineering components such as motors with fault conditions, implement data-driven and physics-based models, and integrate Simulink simulations with AR/VR software through playback and co-simulation workflows. A core hands-on project involves designing a digital twin model from specifications and demonstrating its real-time integration within a 3D graphics simulator, exploring fidelity-performance trade-offs and deployment pipelines for production systems.

Upon completion, learners receive a University of Oxford digital certificate, validating expertise in model-based engineering and immersive twin integration—skills increasingly recognized by global engineering firms. Digital Twin Architects command median salaries of $145,000, with strong 30% projected job growth through 2030. Koenig Solutions enhances this Open Source curriculum with Guaranteed-to-Run scheduling, official courseware, and 1-on-1 instructor support, ensuring mastery of AR/VR-enhanced design workflows. Graduates are positioned to lead digital transformation initiatives, bridging physical systems and virtual models in next-generation smart factories, cities, and metaverse applications.

What You'll Learn

Create digital twins with Simscape and Simulink, gaining hands-on skills in model-based design using industry-standard tools
Apply machine learning techniques to develop data-driven models for industry-standard digital twins, enhancing predictive accuracy
Integrate Simulink models with AR, VR, and MR platforms using OpenXR standards to enable immersive visualization
Refine design parameters in Simulink to boost digital twin performance and reliability
Stream simulation outcomes to AR, VR, and MR environments using MQTT and OPC UA protocols for real-time insights
Design deployment pipelines for scalable open-architecture digital twin systems, ensuring efficient production and maintenance

Skills You'll Gain

Digital Twin Lifecycle Management Model Based Design Godot Engine Blender OpenSceneGraph Unity/OpenXR Sensor Data Fusion Spatial Computing Architecture MQTT/CoAP Protocols IFC/BIM Integration USD (Universal Scene Description) Digital Twin Simulation XR Integration Real Time Simulation Virtual Prototyping Extended Reality

Prerequisites

Recommended knowledge before taking this course
  • Understanding of system modeling and simulation concepts is essential for mastering the Digital Twins: Enhancing Model-Based Design with AR, VR, and MR course by Open Source, which covers advanced techniques in digital twin development.
  • Familiarity with IoT, AI, or data-driven systems enhances your ability to leverage digital twin solutions effectively, as the course integrates these technologies to improve model accuracy and real-time data analysis.
  • Experience with MATLAB/Simulink or equivalent modeling environments provides a strong foundation for engaging with the course content, which emphasizes model-based design and simulation in digital twin applications.
  • Knowledge of 3D visualization or CAD tools helps learners grasp the visualization aspects of digital twins, crucial for creating immersive AR, VR, and MR experiences as taught in the Open Source course.
  • Foundational understanding of AR/VR/MR technologies is vital, as the course explores how these extended reality tools enhance digital twin models and user interaction.
  • Basic proficiency in programming or scripting for model implementation enables students to customize and deploy digital twin solutions effectively, aligning with the practical skills taught in the course.
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Certification Exam

Everything you need to know about the Digital Twins: Enhancing Model-Based Design with AR, VR, and MR certification exam

Exam Details
Exam Name
Digital Twins: Enhancing Model-Based Design with AR, VR, and MR
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Foundations of Digital Twins: Enhancing Model-Based Design with AR, VR, and MR
Define Digital Twins: Enhancing Model-Based Design with AR, VR, and MR origins Configure core Model-Based Design principles for engineering Apply open-source frameworks like Godot and USD in industry Distinguish between simulation models and real-time simulators Analyze manufacturing and construction Digital Twin case studies Quantify the ROI of Digital Twins in engineering Integrate Digital Twin data within metaverse environments Balance fidelity versus performance in deployment scenarios
2
Day 2– Foundations of AR, VR, and MR for Digital Twins
Configure Augmented Reality (AR) technical fundamentals Deploy Virtual Reality (VR) immersive architecture Evaluate Mixed Reality (MR) for industrial workflows Survey the open-source AR/VR/MR technology landscape including OpenSceneGraph Leverage AR/VR to optimize Model-Based Design workflows Streamline simulation data playback into AR/VR environments Develop professional-grade AR/VR visualization applications Model complex systems using high-fidelity AR/VR tools
3
Day 3– Advanced Modelling and Integration Protocols
Build physical models from technical schematics Develop data-driven models using experimental datasets Construct system components using MATLAB R2024a and Simscape Compare white, grey, and black-box modelling methodologies Optimize critical design parameters within Simulink R2024a Configure MQTT brokers for real-time data streaming Integrate OPC-UA servers for industrial asset communication Apply agent-based and system dynamics simulation techniques
4
Day 4– Integrating Digital Twins with AR/VR/MR Systems
Interface Digital Twins with AR/VR/MR software suites Execute playback, co-simulation, and integration workflows Configure ROS2 nodes for real-time co-simulation data exchange Embed Simulink physical models into AR/VR interfaces via USD Demonstrate high-performance 3D graphics simulator integration Debug communication latency between physical models and visualization Apply discrete event simulation for process optimization Utilize AI/ML to accelerate Digital Twin development
5
Day 5– Advanced Deployment and Industry Applications
Deploy Digital Twins for proactive predictive maintenance Implement automated anomaly detection for industrial assets Architect scalable deployment pipelines for production Ensure responsible AI governance in Digital Twins Optimize pedagogical delivery in AR/VR training systems Evaluate Digital Twin utility in healthcare and utilities Analyze large-scale construction and manufacturing implementations Critically assess emerging AR/VR/MR technology trends

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Digital Twins: Enhancing Model-Based Design with AR, VR, and MR certified professionals report career advancement within 6 months

Salary Impact

+25%

Average salary increase reported after obtaining the Digital Twins: Enhancing Model-Based Design with AR, VR, and MR certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Digital Twin Engineer
  • AR/VR Digital Twin Expert
  • Model-Based Systems Engineer
  • Extended Reality Developer
  • Digital Twin Architect
  • Simulation Engineer

Companies Hiring

5,000+
Microsoft Siemens GE Digital Boeing Accenture Deloitte PTC Toyota IBM Airbus

and 5,000+ organizations worldwide seeking Digital Twins: Enhancing Model-Based Design with AR, VR, and MR certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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  • ★★★★★

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    Carlos R.

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Digital Twins: Enhancing Model-Based Design with AR, VR, and MR training course

Is the certification exam included in the course fee for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR, and what is the exam cost if separate?
No, the certification exam is not included in the Digital Twins: Enhancing Model-Based Design with AR, VR, and MR course fee. This is a training course, and no formal vendor-certified exam exists for this specific curriculum. Any optional assessment vouchers are purchased separately at an approximate cost of $150 to $250.
What training formats are available for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR, and is Guaranteed-to-Run scheduling offered?
Yes, Digital Twins: Enhancing Model-Based Design with AR, VR, and MR is available via live online, 1-on-1 private, or classroom training, all using a Guaranteed-to-Run model. We offer flexible weekday and weekend scheduling to support busy professionals, ensuring sessions proceed regardless of enrollment numbers.
How long is lab access provided for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR, and what environment is used?
30 days of lab access is provided for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR via the Open Source training platform. You will use cloud-hosted sandboxes pre-configured with MATLAB, Simulink, Simscape, and ROS Toolbox for hands-on practice without local software installation.
What is the total training duration for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR?
This course is 40 hours of instructor-led training. The curriculum is designed to be completed over five full-day sessions or through a flexible schedule tailored to the participant's needs.
What is the rescheduling and cancellation policy for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR training?
One free reschedule is permitted for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR if requested 10+ days before the start date. Changes within 10 days incur a 50% fee, and each session allows only one reschedule.
What is the format, duration, number of questions, and passing score for the Digital Twins: Enhancing Model-Based Design with AR, VR, and MR certification exam?
There is no formal certification exam for this course, as it is a training program rather than a vendor-certified path. Participants receive a certificate of completion based on attendance and successful participation in the 40-hour instructor-led training.
How long is the Digital Twins: Enhancing Model-Based Design with AR, VR, and MR certification valid, and what is the renewal process?
Not applicable, as this is a training course completion certificate rather than a time-bound professional certification. There is no renewal process or expiration date associated with the training certificate provided by Open Source.
What post-training support does Open Source provide after completing Digital Twins: Enhancing Model-Based Design with AR, VR, and MR?
Open Source offers 30 days of post-training support for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR. This includes lab access, session recordings, and email-based mentor support for technical questions, alongside a Happiness Guarantee for a free retake within one year.
What are the prerequisites or prior experience needed for Digital Twins: Enhancing Model-Based Design with AR, VR, and MR?
Participants should have a foundational understanding of system modeling, simulation, and IoT systems. Prior experience with MATLAB/Simulink, 3D visualization, or AR/VR/MR tools is preferred to ensure you can fully grasp the advanced concepts covered in this training.
What is the typical salary and career impact for professionals completing Digital Twins: Enhancing Model-Based Design with AR, VR, and MR?
Graduates of Digital Twins: Enhancing Model-Based Design with AR, VR, and MR often see salaries from $128,000 to over $222,000 for senior roles. Specialists in industrial AR and digital twins frequently command 20–30% salary premiums in manufacturing, aerospace, and smart infrastructure sectors.
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