Image from NVIDIA - “NVIDIA’s Robotics Fundamentals Learning Path”
By Natalie L.
June 2025
Introduction
The documentation below serves as supplementary material for NVIDIA’s Getting Starting with Isaac Sim pathway, containing short explanations of simulation/graphics/robotics concepts and workarounds for Windows users.
NVIDIA’s Deep Learning Institute provides a collection of self-guided courses on robotics, known as the Robotics Pathway. Within this collection, the Getting Starting with Isaac Sim pathway provides 5 free sequential courses that cover robotics simulation and development.
- Getting Started: Simulating Your Robot
- Ingesting Robot Assets and Simulating Your Robot
- Synthetic Data Generation for Perception Model Training
- Developing with Software-in-the-Loop
- Leveraging ROS2 and Hardware-in-the-Loop
The prerequisites listed this learning path are basic Python knowledge, familiarity with robotics concepts, a Linux machine meeting Isaac Sim's system requirements. However, as a Windows user with only basic robotics experience, I felt that additional context about robotics concepts and Windows-specific instructions would be helpful. As a result, below are some notes that could be useful while following the courses.
In general though, the pathway already provides clear instructions with corresponding videos, so I will only highlight areas where additional context could be beneficial (and instructions for Windows users).
*Notes:
- Course 5 requires a physical Jetson (which I do not own)
- The last module of Course 4 is still in progress.
- The last module of Course 3 is on hold.
