Carnegie Mellon Robotics Academy: Autonomy Foundations with NVIDIA Jetson Nano (Adults)
$399.99
On Demand
Sessions per week
Please choose
List the days and times you are available
Enter your text
Buy once or subscribe? Subscribers get 10% off classes, camps, and events after 3 months, valid until July 1, 2026.
Save this product for later
Have questions?
Carnegie Mellon Robotics Academy: Autonomy Foundations with NVIDIA Jetson Nano (Adults)
Autonomy Foundations with NVIDIA Jetson Nano
Dive into cutting-edge robotics and artificial intelligence in this once-a-week, hands-on course. Using the NVIDIA Jetson Nano and JetBot platform, students learn how AI powers robotic perception and autonomy, exploring topics such as networking, collision avoidance, path following, and SLAM.
To earn a certificate, students must complete the projects according to the given specifications, which will be reviewed and approved by instructors before submission. Additionally, students must pass the final exam with a score of 70% or better to earn the certification. The cost for the certification is an additional $200.
Topics Covered
- JetBot assembly, configuration, and system operation
- Wi‑Fi setup, networking basics, and remote access
- Teleoperation, precise motion control, and basic navigation
- Sensor integration: LiDAR, IR cameras, and bumper sensors
- Data collection and supervised learning for collision avoidance
- AI modeling for path following
- AprilTag navigation for localization and waypointing
- Simultaneous Localization and Mapping (SLAM) and autonomous exploration
- Hands-on challenges: obstacle courses, inspections, AprilTag Maze, and SLAM Time
- Software tools: ROS (Robot Operating System) and Jupyter Notebooks
- Problem-solving, debugging, and experimentation best practices
Format and Schedule
- Meeting Frequency: once or twice per week
- Pacing: continue weekly until completion (typically 3–6 months, depending on prior experience)
- Session Length: 1.5 hours
Who Should Attend?
Adult learners and advanced students interested in practical AI for robotics, with a basic proficiency in Python recommended.
Skills You’ll Build
- Practical AI and machine learning for robotics
- ROS fundamentals and workflow
- Sensor fusion and perception
- Navigation, localization, and mapping
- Data-driven problem-solving and programming proficiency
Enroll Now! Spots are limited—build intelligent robots and learn how AI powers autonomy.
Powered by Lightspeed
Display prices in:USD
