Hands-on Edge AI on NVIDIA Jetson — Linux, CUDA, computer vision, and LLMs.
A four-level pathway taking learners from embedded Linux and Jetson hardware to deep learning, computer vision, and LLM deployment at the edge.
Courses in this category
Each course is project-driven and mentor-supported. Click any course to see its full curriculum.
Embedded AI Hardware & Linux Foundations
Start with NVIDIA Jetson. Learn embedded AI hardware, Linux basics, the terminal, system setup, and device-side development workflows.
Programming for Edge AI Systems
Build practical software skills with C/C++, Python, and CUDA programming for accelerated applications on embedded AI platforms.
Linux Networking & Edge Deployment
Linux networking, sockets, monitoring, and packet analysis so Edge AI systems can communicate, stream, and operate reliably.
Deep Learning, Computer Vision & LLMs on Jetson
Deep learning, computer vision, and LLMs — optimized and deployed on NVIDIA Jetson for real applications.
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