The STEM Solution for
Your Community
Play Smartly, Learn Happily
Join us by operating your own
VEX Academy Campus!
Inspired by the
excitement of hands-on,
minds-on STEM learning
and the feeling of
creating something
with technology.

Play Smartly, Learn Happily The STEM Solution
for Your Community
Join us by operating your own VEX Academy Campus! Inspired by the
excitement of hands-on,
minds-on STEM learning
and the feeling of
creating something with
technology.

VEX Robotics Educator Workshops

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Robotics

VEX 123

· April 8 Language:EN

· June 3 Language:CN

VEX GO

· April 9 Language:EN

· June 4 Language:CN

VEX IQ

· April 15-19 Language:CN

· April 22-26 Language:EN

· May 20-24 Language:CN

· June 24-28 Language:EN

VEX V5

· March 25-29 Language:EN

· April 1-5 Language:EN

· May 27-31 Language:EN

· June 10-14 Language:EN

VEX 123 VEX GO VEX IQ VEX V5
Overview of VEX Ecosystem Overview of VEX Ecosystem Overview of VEX Ecosystem Overview of VEX Ecosystem
VEX 123 – Intro & Programming VEX GO Parts / System – Intro & Hands – On VEX GO Parts & Structure of VEX IQ VEX V5 Pneumatics Kit / Parts / Electronics – Intro & Hands-on
VEX 123 STEM Labs – Resource & Curriculum VEXcode GO – Programming Using the VEXIQ Electronics / Pneumatics Kit, Programming with VEXcode IQ VEXcode V5 – Programming
Design & Build a VEX GO Robot VIQRC Full Volume Rules, Design & Build a VIQRC Robot VRC Over Under Rules, Design & Build a VRC Robot
VEX GO Competition Game Rules VIQRC Full Volume Practice Match VRC Over Under Practice Match

Computer Science (VEX Based)

Blocks

· April

· May

· June

Python

· April

· May

· June

C++

· April

· May

· June

Blocks Python C++
VEXcode IQ user interface VEXcode IQ user interface VEXcode V5 user interface
Coding for VEX IQ Brain and Controller Python syntax basics C++ syntax basics
Coding for VEX IQ drivetrain and motor Coding for VEX IQ Brain and Controller Coding for VEX V5 Brain and Controller
Coding for VEX IQ sensors Coding for VEX IQ drivetrain and motor Coding for VEX V5 drivetrain and motor
Coding in VEX VR Coding for VEX IQ sensors Coding for VEX V5 sensors
VRC competition templates
Cretification exam Cretification exam Cretification exam

Competitions

VAIRC

· July

· August

Referring

· June

· July

Coaching

· May

· June

· July

· August

VAIRC Refereeing Coaching
AI system intro General rules VEX competition systems
AI demo codes New season rules
Competitive robot design process
AI algorithms Keys for referee Online Challenge
Refereeing mockup Judging interviews
Team management
Past games analysis
Cretification exam Cretification exam

Customized

Educator oriented customized training programs are also available upon request.

VEX Academy offers accessible, scalable, and affordable STEM teaching and learning solutions that span from Pre-K to Grade 12.

VEX Academy offers accessible, scalable, and affordable STEM teaching and learning solutions that span from Pre-K to Grade 12.

Join us by operating your own VEX Academy Campus/Classroom!

VEX Academy is designed specifically for training center operators so you can take the industry leading VEX Robotics and Computer Science STEM teaching solutions to both your local schools and the families at large.
Begin your VEX Academy journey today by submitting this form to [email protected]

Join us by operating your own VEX Academy Campus/Classroom!

VEX Academy is designed specifically for training center operators so you can take the industry leading VEX Robotics and Computer Science STEM teaching solutions to both your local schools and the families at large.
Begin your VEX Academy journey today by submitting this form to [email protected]

Explore the Full VEX Experience with Various Opportunities

Explore the Full VEX Experience with Various Opportunities

Mr. Da Xingye

“Learning with VEX gives me an edge over my peers in robotics. VEX World Championship was my first international competition and this strengthened my determination to devote myself to research and engage in robotics.”

Da Xingye was a high school team member at the first VEX World Championship in 2008, He attended Shanghai Jiao Tong University after graduating from high school, where he served as the leader of a robot team. He was selected for the joint training of Shanghai Jiaotong University and Purdue University, and obtained a double undergraduate degree. Later, he studied at the University of Michigan, at the UM for his doctorate degree with a full scholarship. Bipedal robots were one of his research interests. He worked for NVIDIA as an AI research engineer. He now is the Motion Control GM at XPeng American Research Center.

Mr. Bao Yujia

“The experience of VEX in high school has cultivated my abilities in all aspects. Designing robots according to the game rules and experiencing with repeated tests and repeated failures have refined my ability to think independently and become a problem solver.”

In 2017, he studies at the Computer Science and Artificial Intelligence Laboratory of MIT, pursuing a Ph.D. advised by Professor Regina Barzllay. He now works at an artificial intelligence startup in America.

Mr. Da Xingye

“Learning with VEX gives me an edge over my peers in robotics. VEX World Championship was my first international competition and this strengthened my determination to devote myself to research and engage in robotics.”

Da Xingye was a high school team member at the first VEX World Championship in 2008, He attended Shanghai Jiao Tong University after graduating from high school, where he served as the leader of a robot team. He was selected for the joint training of Shanghai Jiaotong University and Purdue University, and obtained a double undergraduate degree. Later, he studied at the University of Michigan, at the UM for his doctorate degree with a full scholarship. Bipedal robots were one of his research interests. He worked for NVIDIA as an AI research engineer. He now is the Motion Control GM at XPeng American Research Center.

Mr. Bao Yujia

“The experience of VEX in high school has cultivated my abilities in all aspects. Designing robots according to the game rules and experiencing with repeated tests and repeated failures have refined my ability to think independently and become a problem solver.”

In 2017, he studies at the Computer Science and Artificial Intelligence Laboratory of MIT, pursuing a Ph.D. advised by Professor Regina Barzllay. He now works at an artificial intelligence startup in America.