Embedded AI Hardware & Linux Foundations
Start with NVIDIA Jetson. Learn embedded AI hardware, Linux basics, the terminal, system setup, and device-side development workflows.
Course overview
The foundational step into Edge AI. Students are introduced to NVIDIA Jetson hardware, embedded AI system architecture, Linux operating system basics, and terminal-first workflows used to build and manage intelligent devices at the edge.
Core curriculum
Four themed modules. Each module is a working block of lessons and labs.
Jetson Hardware
Understand Jetson product families, embedded GPU computing, storage, power, peripherals, and the role of Linux in Edge AI systems.
Linux Basics
Learn Linux file systems, shell commands, package installation, users, permissions, processes, editors, and terminal productivity.
Terminal Skills
Use command-line tools for system inspection, software setup, environment management, and repeatable development workflows on embedded devices.
Embedded Workflows
Connect hardware concepts to Edge AI applications in robotics, vision, sensing, and autonomous systems while emphasizing safe development practices.
What you'll gain
- Hands-on familiarity with NVIDIA Jetson hardware
- Linux and terminal fluency on embedded devices
- Repeatable, reproducible development workflows
- A mental model of how Edge AI systems are structured
Available classes
Open classes you can enroll in directly. Each class shows its instructor and weekly schedule.
Not sure which class fits? Reach us from the Contact page.
Ready to build with AI?
Schedule a free consultation. We'll help you choose the right track — Builder, Portfolio, Scholar, or Innovation — based on your goals and experience.