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Artificial Intelligence is no longer confined to the cloud. The real revolution is happening at the edge—on microcontrollers in drones, wearables, industrial sensors, and IoT devices. This shift demands a new skillset: the ability to squeeze powerful AI into devices with severe memory, power, and compute constraints.

Why is Edge AI on RISC-V a critical skillset?

• Constrained Resources are the Norm: Commercial edge devices aren't powered by server-grade GPUs. They run on microcontrollers with often less than 16KB of RAM. Mastering optimization for these limits is what separates hobbyists from industry-ready professionals.
• The Open-Source Architecture of the Future: RISC-V is revolutionizing hardware with its open-standard instruction set. It offers unparalleled flexibility and is rapidly being adopted across the industry, making RISC-V proficiency a significant career advantage.
• Latency, Privacy, & Cost: Edge AI enables real-time inference without cloud dependency, reducing latency, enhancing data privacy, and eliminating ongoing cloud service costs.

This is where traditional AI/ML courses fall short. They teach you to build models, but not how to deploy them on a device that can't even fit the standard Python interpreter.

Become an Embedded AI Expert with our Intensive 10-Day Workshop

We are closing registration for RISC-V Edge AI with VSDSquadron Pro in just one day. This is not a theoretical overview; it's a hands-on deep dive into the exact workflows used by industry professionals to deploy AI on the most resource-limited hardware.

In this workshop, you will:

• Go from Python to on-device inference on a SiFive-based RISC-V core.
• Implement and optimize Regression, KNN, SVM, and Neural Network models under a strict 16KB RAM budget.
• Automate quantization scripts and master model compression techniques like weight pruning and 8-bit quantization.
• Deploy and benchmark real-time MNIST digit recognition, reproducing latency and memory profiles.
• Graduate with a validated portfolio of quantized models, deployment scripts, and benchmark reports—exactly what hiring managers for embedded ML roles are looking for.

The Best Part? You Don't Need the Hardware to Start.

We know access to specialized hardware can be a barrier. That's why we've designed this workshop so you can complete over 99% of the curriculum without the physical board. You can secure your spot now and use the workshop materials to build foundational skills. The hardware (VSDSquadron Pro) is available post-workshop for those who want to complete the final on-device validation.

This workshop is your elevator to the next level. AI is here to stay, but the in-demand talent is shifting from those who just build models to those who can deploy them anywhere.

Here’s what you get:

• Hands-on labs with TensorFlow Lite for Microcontrollers on RISC-V.
• Live expert sessions and 24x7 mentor support.
• Pre-configured environments and automated scripts to focus on learning, not setup.
• A professional portfolio and a certification that validates your 16KB-RAM deployment skills.

Don't be left behind. The future of computing is open, constrained, and at the edge.

Registration closes tomorrow. Secure your place and transform your skill set.

Click Here to Enroll Now & Become an Edge AI Expert

To your success,
The VSD Team

P.S. Time is running out! This workshop is meticulously designed for students, embedded engineers, and data scientists aiming to transition into high-growth edge AI roles. This is your final call to acquire a rare and valuable skillset. Enroll before registration closes!