On land, underwater, in the air — even underground and on other planets — new autonomous machines and the applications that run on them are emerging daily.
Robots are working on construction sites to improve safety, they’re on factory floors to enhance logistics and they’re roaming farm rows to pick weeds and harvest crops.
As AI-powered autonomous machines proliferate, a new generation of students and developers will play a critical role in teaching and training these robots how to behave in the real world.
To help people get started, we’ve announced the availability of free online training and AI-certification programs. Aptly timed with World Teacher’s Day, these resources open up the immense potential of AI and robotics teaching and learning.
And there’s no better way to get hands-on learning and experience than with the new Jetson Nano 2GB Developer Kit, priced at just $59. NVIDIA CEO Jensen Huang announced this ultimate starter AI computer during the GPU Technology Conference on Monday. Incredibly affordable, the Jetson Nano 2GB helps make AI accessible to everyone.
New AI Certification Programs for Teachers and Students
NVIDIA offers two AI certification tracks to educators, students and engineers looking to reskill. Both are part of the NVIDIA Deep Learning Institute:
- NVIDIA Jetson AI Specialist: This certification can be completed by anyone and recognizes competency in Jetson and AI using a hands-on, project-based assessment. This track is meant for engineers looking to reskill and advanced learners to build on their knowledge.
- NVIDIA Jetson AI Ambassador: This certification is for educators and leaders at robotics institutions. It recognizes competency in teaching AI on Jetson using a project-based assessment and an interview with the NVIDIA team. This track is ideal for educators or instructors to get fully prepared to teach AI to students.
Additionally, the Duckietown Foundation is offering a free edX course on AI and robotics based on the new NVIDIA Jetson Nano 2GB Developer Kit.
“NVIDIA’s Jetson AI certification materials thoroughly cover the fundamentals with the added advantage of hands-on project-based learning,” said Jack Silberman, Ph.D., lecturer at UC San Diego, Jacobs School of Engineering, Contextual Robotics Institute. “I believe these benefits provide a great foundation for students to prepare for university robotics courses and compete in robotics competitions.”
“We know how important it is to provide all students with opportunities to impact the future of technology,” added Christine Nguyen, STEM curriculum director at the Boys & Girls Club of Western Pennsylvania. “We’re excited to utilize the NVIDIA Jetson AI Specialist certification materials with our students as they work towards being leaders in the fields of AI and robotics.”
“Acquiring new technical skills with a hands-on approach to AI learning becomes critical as AIoT drives the demand for interconnected devices and increasingly complex industrial applications,” said Matthew Tarascio, vice president of Artificial Intelligence at Lockheed Martin. “We’ve used the NVIDIA Jetson platform as part of our ongoing efforts to train and prepare our global workforce for the AI revolution.”
By making it easy to “teach the teachers” with hands-on AI learning and experimentation, Jetson is enabling a new generation to build a smarter, safer AI-enabled future.
Watch NVIDIA CEO Jensen Huang recap autonomous machines news at GTC:
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