Hi
What if you could build technology that doesn’t just run faster or smarter—but actually saves lives?
Imagine a camera hidden near a wildlife reserve, powered by a tiny, ultra-low-power chip. It doesn’t just “see.” It
understands—in real time—whether a moving object is a poacher, an animal, or just swaying grass. And if it’s a threat, it alerts rangers within seconds. All without the internet. All without a cloud.
This isn’t sci-fi. This is Edge AI on VSDSquadron PRO RISC-V
Board—and it’s happening today.
We’re talking about intelligence at the edge: smart, fast, and efficient machine learning models deployed on microchips like VSDSquadron, capable of making critical decisions with as little as 16KB of RAM.
👉 Want to know how it works?
👉 Want to be the one who builds it?
We’ve opened
up a groundbreaking 10-day workshop that’s more than just theory:
✅ Train, quantize, and deploy neural networks on real RISC-V hardware.
✅ Work with TensorFlow Lite, memory profiling, and embedded AI optimization.
✅ Build real-world systems that do more than blink LEDs—they make an impact.
This is where embedded systems meet artificial intelligence—where code meets purpose.
Enroll now – and start building tech that matters:
https://www.vlsisystemdesign.com/riscv_edgeai/
Only a few seats are left. Don’t just learn. Build. Protect. Innovate.
See you on the
inside,
Team VLSI System Design
P.S. This isn’t another “blink-an-LED” tutorial. You’ll work with quantized AI models, RISC-V toolchains, and real hardware. Come build the future—one inference at a time.
