AI in Education with Jetson Nano
Recorded on: December 9, 2020 at 1:00pm ET
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Ready to get started teaching hands-on AI in a fun, engaging way? Join us to discover the latest applied labs and curriculum for deep learning and autonomous robotics using NVIDIA’s high-performance Jetson edge computers. Students use popular machine learning frameworks and interactive computer vision to create their own projects and train autonomous robot kits like JetBot and Duckietown. These open-source materials can easily be integrated into your courses to teach students the principles of modern AI.
By attending this webinar, you’ll learn:
- How to prepare students for future careers in AI engineering and research
- Concepts of deep learning and key building blocks including recognition, object detection, and segmentation for video analytics and autonomous navigation
- Explore AI in the lab and at home with open-source projects and tutorials from the Jetson AI Fundamentals certification program including Hello AI World, JetBot, and Duckietown.
- Engage with NVIDIA on future opportunities for curriculum development and grant programs.
Dustin Franklin is a developer evangelist on the Jetson team at NVIDIA. With a background in robotics and embedded systems, Dustin enjoys helping in the community and working on projects with Jetson. You can find him on the NVIDIA Developer Forums and GitHub.
Jacopo Tani, Ph. D. is a senior research scientist at ETH Zürich in the Frazzoli Laboratory of the Institute of Dynamic Systems and Control, Department of Mechanical and Process Engineering, and co-founder, President and CEO of Duckietown, Inc.