边缘 AI 课程
在 NVIDIA Jetson 上进行动手边缘 AI——Linux、CUDA、计算机视觉与大语言模型。
一条四级学习路径，从嵌入式 Linux 和 Jetson 硬件，走向深度学习、计算机视觉与边缘 LLM 部署。
该分类下的课程
每门课程都以项目为导向并由导师支持。点击任意课程查看完整大纲。
01EAI-10020 hours· Quarter-long · Lab + Terminal
Level 1Embedded AI Hardware & Linux Foundations
Start with NVIDIA Jetson. Learn embedded AI hardware, Linux basics, the terminal, system setup, and device-side development workflows.
Course detail
02EAI-20020 hours· Quarter-long · Project-Based / Code-Lab
Level 2Programming for Edge AI Systems
Build practical software skills with C/C++, Python, and CUDA programming for accelerated applications on embedded AI platforms.
Course detail
03EAI-30020 hours· Quarter-long · Networking + Deployment Labs
Level 3Linux Networking & Edge Deployment
Linux networking, sockets, monitoring, and packet analysis so Edge AI systems can communicate, stream, and operate reliably.
Course detail
04EAI-40020 hours· Quarter-long · Capstone / AI Lab
Level 4Deep Learning, Computer Vision & LLMs on Jetson
Deep learning, computer vision, and LLMs — optimized and deployed on NVIDIA Jetson for real applications.
Course detail
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