NVIDIA Omniverse (Isaac Sim) Training in Australia

This course provides a comprehensive, hands-on introduction to NVIDIA Omniverse Isaac Simulator, enabling learners to design, simulate, and deploy robotic digital twins using GPU-accelerated physics, photorealistic rendering, and AI-based perception.

Participants will explore the complete robotics pipeline—modeling, control, perception, mapping, navigation, and deployment—using Isaac Sim, Isaac Lab, and Isaac ROS, all integrated with ROS 2. The course emphasizes practical implementation, industry use cases, and sim-to-real readiness, preparing learners to build scalable robotics solutions for real-world environments.

Welcome to the official NVIDIA Omniverse (Isaac Sim) Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in Australia. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

To get the most value from this course, learners should have:

Mandatory

• Basic understanding of robotics concepts (kinematics, sensors, actuators)
• Working knowledge of Python programming
• Familiarity with Linux (Ubuntu) environment

Recommended

• Prior exposure to ROS or ROS 2
• Basic understanding of computer vision and machine learning
• Introductory knowledge of robot control or navigation

Upon successful completion of the course, learners will acquire the following skills:

Simulation & Digital Twins

• Create realistic robotic digital twins using Isaac Sim
• Model robots, environments, and physics-accurate interactions
• Use USD-based workflows for scalable scene design

Robot Control & ROS Integration

• Integrate robots with ROS 2 and Isaac ROS
• Implement teleoperation and autonomous control pipelines
• Use Isaac Lab for manipulation and learning-based control

Perception & Sensor Processing

• Configure and simulate cameras, LiDAR, IMU, and depth sensors
• Perform sensor fusion and real-time DNN inference
• Implement autonomous perception pipelines

Mapping & Navigation

• Build GPU-accelerated 3D maps using NVBlox
• Implement Visual SLAM (V-SLAM) pipelines
• Develop navigation-ready digital twins

Advanced Robotics Applications

• Generate synthetic datasets with domain randomization
• Implement language-conditioned and vision-language control
• Deploy end-to-end digital twin workflows

By the end of this course, participants will be able to:

• Design and simulate realistic robotic environments using NVIDIA Omniverse Isaac Sim
• Build and control robots using ROS 2, Isaac ROS, and Isaac Lab
• Implement AI-based perception pipelines with cameras and LiDAR
• Develop real-time mapping and navigation systems using NVBlox and V-SLAM
• Generate synthetic datasets to train and validate AI models
• Deploy end-to-end robotic digital twins aligned with industry standards
• Apply simulation-based workflows to autonomous robots, manipulators, and AMRs