# Physical AI Learning Start building autonomous robots, digital twins, and AI-powered systems with free, self-paced courses from NVIDIA. Choose a course below to begin your physical AI journey. ## Courses ![Unitree G1 humanoid robot placing an apple on a plate](images/apple_to_plate.gif) **How to Develop and Deploy Humanoid Robots End-to-End with NVIDIA Isaac GR00T and Unitree G1** This course introduces the GR00T reference workflow: a validated, open, and reproducible sim-first to deployment workflow for the Unitree G1 humanoid robot. **Level:** Intermediate
\\\\ **Time:** 4-12 hours
\\\\ **Key Skills:** NVIDIA Isaac GR00T, Isaac Lab-Arena, Isaac Teleop, Isaac ROS, Jetson Thor, Unitree G1 [Start Learning](https://docs.nvidia.com/learning/physical-ai/gr00t-e2e-workflow/latest/index.html) ![SO-101 vial to rack task](images/so101_vial_to_rack_task.gif) **Train an SO-101 Robot From Sim-to-Real With NVIDIA Isaac** Explore a complete sim-to-real workflow using the SO-101 arm and an affordable physical workspace you can build yourself. Configure and calibrate the robot, then perform demonstrations to post-train a GR00T policy for centrifuge vial pick-and-place. Evaluate with Isaac Lab and deploy to real hardware, applying four strategies to help close the sim-to-real gap. **Level:** Intermediate
\\\\ **Time:** 6-10 hours
\\\\ **Key Skills:** NVIDIA Isaac Lab, NVIDIA GR00T, LeRobot by Hugging Face, Cosmos, sim-to-real transfer principles [Start Learning](https://docs.nvidia.com/learning/physical-ai/sim-to-real-so-101/latest/index.html) ![Seeed reBot arm running a sim-to-real VLA pipeline](images/seeed_rebot_arm.gif) Partner Content **Learning Physical AI: A Sim-to-Real VLA Pipeline with Seeed reBot Arm and NVIDIA Isaac** An end-to-end, hands-on curriculum for Physical AI, guiding developers through Hugging Face LeRobot teleoperation with the reBot robotic arm, NVIDIA Isaac Sim digital twin emulation, Cosmos Transfer scene augmentation, Isaac GR00T VLA fine-tuning, and real-time NVIDIA Jetson edge deployment. **Level:** Intermediate
\\\\ **Time:** 20+ hours
\\\\ **Key Skills:** NVIDIA Isaac GR00T, Isaac Sim, LeRobot by Hugging Face, Seeed reBot Arm, Jetson Thor [Start Learning](https://www.seeedstudio.com/sim-to-real-with-seeed-rebot-and-nvidia-isaac) ![](https://docs.nvidia.com/learning/physical-ai/assembling-digital-twins/latest/_images/image65.png) **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 [Start Learning](https://docs.nvidia.com/learning/physical-ai/assembling-digital-twins/latest/index.html) ![An RTX viewport app rendering an OpenUSD attic scene](images/physical_ai_agent_bootcamp.gif) **Physical AI Agent Bootcamp** Build practical physical AI workflows one step at a time. Direct an AI coding agent against real NVIDIA SDKs and Omniverse libraries using the Patterned Prompt Method to render OpenUSD scenes, validate SimReady assets, and run real-time physics simulations. **Level:** Beginner
\\\\ **Time:** Self-paced
\\\\ **Key Skills:** AI agent workflows, OpenUSD, RTX rendering, Omniverse Kit libraries, SimReady physics [Start Learning](https://docs.nvidia.com/learning/physical-ai/physical-ai-agent-bootcamp/latest/index.html) ![](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-sim/latest/_images/isaac-sim-sil-hil.png) **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 [Start Learning](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-sim/latest/index.html) ![](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-lab/latest/_images/hands-exchanging-sphere.gif) **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 [Start Learning](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-lab/latest/index.html) ![Isaac ROS](images/IsaacROS.png) **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 [Start Learning](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-ros/latest/index.html) ![](https://docs.nvidia.com/learning/physical-ai/going-further-with-robotics/latest/_images/isim_5.0_full_tut_gui_rl_ros_controller_5.gif) **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 [Start Learning](https://docs.nvidia.com/learning/physical-ai/going-further-with-robotics/latest/index.html) ![Isaac Healthcare](images/Healthcare1.gif) **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 [Start Learning](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-for-healthcare/latest/index.html) ![](https://docs.nvidia.com/learn-openusd/latest/_static/learn-openusd-bbm-t@2x.jpg) **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](https://www.nvidia.com/en-us/learn/certification/openusd-development-professional/). **Level:** Beginner to Advanced
\\\\ **Format:** Self-paced, open-source
\\\\ **Key Skills:** USD fundamentals, asset modularity, data exchange [Start Learning](https://docs.nvidia.com/learn-openusd/latest/index.html) --- ### Get Compute Access With NVIDIA Brev
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](https://brev.nvidia.com/org/org-2xPtAHe7sr2KjqYj6Wu64nmkZG8/launchables)**
Build custom Omniverse applications using Kit libraries and APIs. **[Isaac Launchable](https://brev.nvidia.com/launchable/deploy/now?launchableID=env-35JP2ywERLgqtD0b0MIeK1HnF46)**
Run Isaac™ Lab and Isaac Sim in the cloud, no local install required. --- ## 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](https://docs.nvidia.com/learning/physical-ai/getting-started-with-isaac-sim/latest/index.html) — it assumes no prior experience and builds foundational concepts. ### Is OpenUSD required for all courses? OpenUSD is essential for digital twin and industrial automation projects. For other courses, it’s helpful but not strictly necessary. However, we recommend exploring [Learn OpenUSD](https://docs.nvidia.com/learn-openusd/latest/index.html) to understand the standards underlying modern 3D workflows.