Programming for Edge AI Systems
Build practical software skills with C/C++, Python, and CUDA programming for accelerated applications on embedded AI platforms.
Course overview
Build the software foundation needed for Edge AI development. Students learn Python for rapid prototyping, C/C++ for systems programming, and CUDA for GPU acceleration on NVIDIA Jetson platforms.
Core curriculum
Four themed modules. Each module is a working block of lessons and labs.
Python
Write Python programs for automation, data handling, and rapid prototyping on Linux-based embedded systems.
C / C++
Learn C/C++ syntax, memory, compilation, debugging, and programming for resource-constrained Edge AI devices.
CUDA
Introduce CUDA programming concepts including kernels, threads, memory movement, and GPU acceleration.
AI Acceleration
Integrate Python, C/C++, and CUDA into practical Jetson applications and benchmark CPU vs GPU performance on AI workloads.
What you'll gain
- Python fluency in an embedded context
- Comfort writing and debugging C/C++ on Jetson
- Working knowledge of CUDA kernels and GPU memory
- Practical CPU-vs-GPU benchmarking on real workloads
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.
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