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
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.