Courses Digital Twin & Simulation
🔁 Intermediate Digital Twin

Digital Twin & Simulation

Design, deploy, and synchronise high-fidelity digital twins of real-world robotic systems.

4 Days 💰 $1,600 USD 🎓 Certificate Included ☁️ GPU Lab Included

Course Overview

Digital Twin & Simulation teaches you to build live virtual replicas of physical robot systems using NVIDIA Omniverse and USD. You will learn how to calibrate physics to match real hardware, stream sensor data between the physical and virtual world, and integrate digital twins into CI/CD pipelines for continuous testing. This course is ideal for engineers who already understand simulation basics and are ready to go production-grade.

Key Highlights

Architect a complete digital twin for a real robot cell
Import CAD assets and configure physics materials accurately
Calibrate joint friction, damping, and inertia from real data
Stream live sensor data between physical robot and digital twin
Implement CI/CD pipelines that run robot tests in simulation
Visualise real-time telemetry overlaid on the digital twin

Course Syllabus

Learning Outcomes

01

Design and build complete digital twins of robot systems

02

Calibrate simulation physics to real-world measurements

03

Stream and synchronise live sensor data between environments

04

Run automated robot test suites in simulation via CI/CD

05

Detect anomalies by comparing physical vs virtual telemetry

06

Deliver production-grade digital twin deployments

Who Is This For?

👤 Robotics Engineers building production automation systems
👤 DevOps Engineers adding simulation to robot CI/CD pipelines
👤 Factory Automation Specialists modernising existing lines
👤 R&D Teams needing reproducible test environments

Prerequisites

  • Completion of Isaac Sim Essentials or equivalent experience
  • Basic ROS 2 knowledge
  • Familiarity with any CI/CD tool (GitHub Actions, Jenkins, etc.)
Course Fee
$1,600
USD per participant
What's Included
  • ☁️ Dedicated GPU Cloud Lab (4 Days)
  • 📚 Full course materials & recordings
  • 📜 Certificate of Completion
  • 💬 Instructor Q&A support
  • 🔄 Lifetime access to course updates
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⏱ 4 Days intensive training