NVIDIA Omniverse Training in Kuala Lumpur, Malaysia

This course introduces participants to NVIDIA Omniverse, a powerful real-time 3D collaboration and simulation platform built on Pixar’s Universal Scene Description (USD). The training emphasizes creating collaborative 3D workflows, developing digital twins, integrating AI simulation, and connecting tools like Blender, Revit, Unreal Engine, and robotics simulators. It includes hands-on labs with Omniverse Create, Isaac Sim, and Nucleus.

Getting Started with Omniverse

Introduction to NVIDIA Omniverse

• Overview of the platform and ecosystem

• Key components: Nucleus, USD, Kit, Create, View, Isaac Sim

• Industries and use cases

Setting Up Omniverse

• Installing Omniverse Launcher and Create

• Navigating the UI, layers, and assets

• Introduction to Universal Scene Description (USD)

Creating Your First Scene in Omniverse Create

• Importing assets from Blender/Revit/3ds Max

• Using lighting, materials, and physics

• Camera animation and rendering basics

Collaboration, Robotics, and Simulation

Omniverse Nucleus and Collaboration

• What is Nucleus?

• Setting up shared folders and permissions

• Real-time co-editing across Blender, Maya, and Omniverse

Robotics with Omniverse Isaac Sim

• Introduction to Isaac Sim for robotics simulation

• Simulating environments, sensors (LiDAR, cameras)

• Integrating robotics AI with Isaac Gym and RL frameworks

Multi-User Collaboration and XR

• Working in teams with shared USD assets

• VR/AR integration (optional preview)

• Performance optimization techniques

Digital Twins, Extensions, and Customization

Digital Twins and Industrial Use Cases

• Creating and managing digital twins in Omniverse

• Integrating real-time IoT data

• Using Omniverse for smart factories, cities, and energy systems

Omniverse Extensions and Scripting

• Using and customizing extensions

• Basics of Python scripting in Omniverse Kit

• Introduction to developing your own tools

Deployment, Enterprise Scaling & Future Trends

• Omniverse on Workstation vs Cloud (AWS/GCP/Azure)

• Scaling across departments

• What’s coming next: RTX, Path Tracing, Modulus integration

Hands-on Exercises

Summary and Conclusion