Our approachSVAIX is an AI and robotics education and consultancy firm in the heart of Silicon Valley. We teach students to build real robots and AI-powered systems, and we help organizations design the programs that get them there.
Students write real code and assemble real hardware. Every idea ends as something that actually works.
We teach students to work with AI as a creative collaborator, a skill that will define their generation.
Small groups and expert instructors mean we can follow each student's questions wherever they lead.

Our instructors have taught at top universities and shipped technology at the industry's frontier. They teach because they believe the next generation should learn AI and robotics the way they learned it, by building real things, together.
Students from middle and high school to college who want serious, hands-on AI and robotics learning, through summer school, weekend school, and winter camps.
Explore programs →Professionals and lifelong learners who want to understand and build with AI and robotics, hands-on and guided by practitioners who work in the field.
Explore programs →Teams seeking consulting on AI and robotics education, curriculum design, program development, instructor sourcing, and strategy.
Talk to us →Our founders have taught at top universities and shipped technology at the industry's frontier, and they teach because they love it.
Jun has spent 20+ years building wireless and IoT technology at companies including Amazon (Amazon Sidewalk), Cisco, and Motorola Solutions, but teaching is the real passion.
Jun has taught in the pre-college and gifted-youth programs at Northwestern University's Center for Talent Development and at Brown University, and leads summer camps where middle- and high-school students build real robots and AI-powered devices.
Jun is the author of Accelerating IoT Development with ChatGPT (Packt). The throughline: the best way for young people to understand AI is to build with it.
Wei holds a PhD in Physics from Stanford University and a BS from Peking University, with a career at the frontier of robotics and machine learning.
Wei has worked as a machine-learning engineer, data scientist, and software engineer across robotics and startups, including as Chief Scientist at a robotics startup and on deep-learning models for surgical robotics at Intuitive Surgical, with earlier engineering experience at PayPal.
Expertise spans deep learning and robot-learning algorithms, bringing genuine research depth to how SVAIX teaches embodied AI.
Yelaine leads program design and operations at SVAIX. With a background spanning Microsoft, Qualcomm, and Teradata, plus founding-team experience at a Y Combinator-backed startup, Yelaine connects Silicon Valley's technology ecosystem with the next generation of learners.
She brings deep ties across the AI industry and a track record of building communities and events that connect practitioners with learners.


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