13-Week Course Modules
Master Physical AI through four comprehensive modules: ROS 2 fundamentals, digital twin simulation, NVIDIA Isaac Sim, and vision-language-action models for humanoid robotics.
Module 1
Module 1: ROS 2 Fundamentals
Weeks 3-5 • 30 hours
Learning Outcomes
- Understand ROS 2 architecture and core concepts
- Create and manage ROS 2 nodes, topics, services, and actions
- Build multi-node robotic systems with proper communication patterns
- +1 more...
Module 2
Module 2: Digital Twin Simulation
Weeks 6-7 • 20 hours
Learning Outcomes
- Set up and configure Gazebo simulation environments
- Create and import robot models (URDF/SDF)
- Integrate Unity ML-Agents for reinforcement learning
- +1 more...
Module 3
Module 3: NVIDIA Isaac Sim
Weeks 8-10 • 30 hours
Learning Outcomes
- Deploy NVIDIA Isaac Sim for high-fidelity robot simulation
- Implement perception pipelines using camera and lidar sensors
- Develop object detection and pose estimation systems
- +1 more...
Module 4
Module 4: Vision-Language-Action Models
Weeks 11-13 • 30 hours
Learning Outcomes
- Understand VLA model architecture and applications in robotics
- Integrate VLAs for natural language task understanding
- Implement humanoid robot control with VLA decision-making
- +2 more...
Course Overview
13
Weeks
110+
Hours
4
Modules
🎯 Capstone Project
Build an autonomous humanoid robot with voice interface, task planning, navigation, perception, and manipulation capabilities.