Digital
Twins and 3D Visualization Fundamentals
Understanding
Digital Twins
• What is a
Digital Twin?
• Digital Twin
maturity levels
• Industry use
cases and success stories
• Business
value and ROI
Introduction
to 3D Visualization
• Understanding
3D graphics concepts
• 2D vs 3D
visualization
• Real-time
rendering concepts
• Visualization
technologies overview
Introduction
to NVIDIA Omniverse
• What is
Omniverse?
• Platform
architecture overview
• OpenUSD
fundamentals
• Omniverse
ecosystem
Getting
Started with Omniverse
• Installation
and setup
• User
interface walkthrough
• Understanding
assets and scenes
• Creating a
simple scene
Hands-On Lab
Building
Digital Twin Experiences
Components
of a Digital Twin
• Physical
assets
• Digital
representations
• Data sources
• Visualization
layers
Creating a
Simple Digital Twin
• Asset
organization
• Scene
composition
• Environment
creation
• Working with
lighting and materials
Bringing
Existing Assets into Omniverse
• Importing and Working with Sample CAD Assets
• Using Blender
assets
• Importing Existing Engineering Drawings into Omniverse
• Asset
optimization concepts
Data-Driven
Visualization
• Understanding
operational data
• Sample
datasets and visualization
• Simulating
asset status updates
• Monitoring
and dashboard concepts
Hands-On Lab
3D
Transformation and Enterprise Adoption
Understanding
2D-to-3D Workflows
• Types of 2D
source content
• Drawings,
floor plans and images
• Converting 2D
concepts into 3D environments
• Common
challenges and limitations
Enterprise
3D Visualization Strategies
• Embedding 3D
experiences into applications
• Web and
desktop visualization approaches
• User
experience considerations
• Performance
considerations
Omniverse in
Enterprise Environments
• Collaboration
concepts
• Asset
management
• Integration
possibilities
• Future
roadmap and capabilities
Digital Twin
Adoption Roadmap
• Planning a
Digital Twin initiative
• Team roles
and responsibilities
• Technology
considerations
• Best
practices
Software Requirements -
The hands-on exercises will be conducted using NVIDIA Omniverse applications. Participants may use the freely available installation appropriate for learning and evaluation purposes. Sample assets and datasets required for the exercises will be provided during the training.
