Welcome to Physical AI Learning#
Start building autonomous robots, digital twins, and AI-powered systems with free, self-paced courses from NVIDIA. Choose a learning path below to begin your physical AI journey.
All learning paths are free to access for self-paced learning. You can also join the NVIDIA community of developers building physical AI systems and get support from experts and the community.
NVIDIA’s Brev Platform
Don’t have access to a local GPU? Get started immediately with Brev — instant access to cloud-based development environments preconfigured for NVIDIA Isaac Sim™, Omniverse™, and physical AI workflows.
Kit App Template Launchable
Build custom Omniverse applications using Kit libraries and APIs.
Isaac Launchable
Run Isaac™ Lab and Isaac Sim in the cloud, no local install required.
Learning Paths#
Assembling Digital Twins With Omniverse and OpenUSD
Learn to assemble complex industrial scenes using NVIDIA Omniverse and OpenUSD standards for factories and warehouses. Apply scene composition, asset organization, and collaborative workflows.
Level: Intermediate
Time: 3-4 hours
Key Skills: OpenUSD, scene composition, asset organization, pipeline development
Getting Started With Isaac Sim
Explore the NVIDIA Isaac Sim interface. Build a robot from scratch, configure physics properties, add sensors, and run your first simulation.
Level: Beginner
Time: 2-3 hours
Key Skills: Physics simulation, sensor integration, environment setup
Getting Started With Isaac Lab
Dive into reinforcement learning and GPU-accelerated training. Understand how NVIDIA Isaac Lab trains thousands of robots in parallel, achieving convergence in hours instead of days.
Level: Intermediate
Time: 3-4 hours
Key Skills: Reinforcement learning, GPU acceleration, policy training
Getting Started With Isaac ROS
Accelerate ROS 2 development with NVIDIA Isaac ROS GEMs and NITROS for production-grade perception and navigation systems. Deploy AI policies on real hardware with real-time constraints.
Level: Intermediate
Time: 2-3 hours
Key Skills: ROS 2, NITROS acceleration, production robotics
Going Further With Robotics
Develop OpenUSD interoperability skills. Convert URDF to USD, optimize robotic assets, and build enterprise-grade digital twins that scale to complex multi-robot systems.
Level: Advanced
Time: 4-5 hours
Key Skills: USD interoperability, asset optimization, enterprise deployment
Getting Started With Isaac for Healthcare
Explore robotics applications in healthcare environments. Learn safety-critical system design, regulatory considerations, and healthcare-specific sensor integration approaches.
Level: Intermediate
Time: 3-4 hours
Key Skills: Healthcare-specific robotics, safety protocols, domain adaptation
Learn OpenUSD
Explore Universal Scene Description (USD) for complex 3D workflows. This free curriculum covers asset structure, composition arcs, and pipeline development—preparing you for OpenUSD certification.
Level: Beginner to Advanced
Format: Self-paced, open-source
Key Skills: USD fundamentals, asset modularity, data exchange
Recommended Learning Resources#
Understanding Physical AI Fundamentals
What is Physical AI?
Comprehensive overview of physical AI concepts, comparing generative AI with physical AI, and exploring real-world applications across robots, autonomous vehicles, and smart spaces.
Developing OpenUSD & 3D Workflows
Learn OpenUSD
A complete curriculum for diving into Universal Scene Description (USD) for complex 3D projects. Essential for anyone building digital twins, optimizing simulation assets, or working with Omniverse.
Why This Matters: OpenUSD is the universal data standard enabling interoperability across the physical AI stack. Whether you’re assembling digital twins, training robots at scale, or optimizing assets, strong USD knowledge accelerates your development.
Get Certified
Prepare for the NVIDIA OpenUSD Development Professional Certification to validate your skills and stand out in the industry.
FAQs#
What if I don’t have background in AI or robotics?
These courses are designed for learners at various levels. Start with Building Your First Robot in Isaac Sim — it assumes no prior experience and builds foundational concepts.
Is OpenUSD required for all paths?
OpenUSD is essential for digital twin and industrial automation projects. For other paths, it’s helpful but not strictly necessary. However, we recommend exploring Learn OpenUSD to understand the standards underlying modern 3D workflows.