Courses NVIDIA Omniverse & USD
🌐 Intermediate Platform

NVIDIA Omniverse & USD

Master the open 3D platform connecting simulation, design, and AI across your entire robotics workflow.

3 Days 💰 $1,400 USD 🎓 Certificate Included ☁️ GPU Lab Included

Course Overview

NVIDIA Omniverse & USD dives deep into the platform that underpins Isaac Sim and the broader robotics simulation ecosystem. You will learn Universal Scene Description (USD) authoring, Omniverse Nucleus for collaborative workflows, custom Kit extension development, and Omniverse Connectors for integrating with CAD tools like SolidWorks and Blender. The course also covers RTX rendering for photorealistic synthetic data generation.

Key Highlights

Understand Omniverse architecture: Kit, Nucleus, RTX Renderer
Author and compose USD scenes programmatically with Python API
Build custom Omniverse Kit extensions in Python
Set up multi-user collaborative simulation sessions
Create Omniverse Connectors for external tool integration
Generate photorealistic synthetic datasets for AI training

Course Syllabus

Learning Outcomes

01

Compose and manipulate complex USD scenes programmatically

02

Build custom Omniverse Kit extensions for your workflow

03

Set up collaborative multi-user Omniverse sessions

04

Connect external CAD and DCC tools to Omniverse

05

Generate high-quality synthetic datasets for AI training

06

Architect scalable Omniverse-based simulation infrastructure

Who Is This For?

👤 Platform Engineers building robotics simulation infrastructure
👤 Technical Artists creating simulation environments
👤 AI Teams needing synthetic data pipelines
👤 Enterprise Architects evaluating Omniverse for their organisation

Prerequisites

  • Python programming proficiency
  • Basic familiarity with 3D concepts (meshes, transforms, materials)
  • Isaac Sim Essentials (recommended but not required)
Course Fee
$1,400
USD per participant
What's Included
  • ☁️ Dedicated GPU Cloud Lab (3 Days)
  • 📚 Full course materials & recordings
  • 📜 Certificate of Completion
  • 💬 Instructor Q&A support
  • 🔄 Lifetime access to course updates
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⏱ 3 Days intensive training