VEL Education & Training

Learn. Build. Innovate.

Hands-on programs in robotics, electronics, AI and automation, from Grade 4 classrooms to industrial teams.

Who we teach

Eight learner groups on one continuous pathway, from a first robot to professional engineering.

  1. Grades 4–6
  2. Grades 7–9
  3. Grades 10–12
  4. Undergraduates
  5. Graduates
  6. Professionals
  7. Industrial teams
  8. Faculty

Topics across our programs

  • Robotics
  • Electronics
  • Arduino
  • Raspberry Pi
  • Embedded systems
  • IoT
  • Artificial intelligence
  • Machine learning
  • Computer vision
  • ROS2
  • Drones
  • Autonomous systems
  • Industrial automation

School robotics

Programs for Grades 4 to 12. Open a level to see what students learn, use and build.

Grades 4–6

Foundation Robotics

A hands-on introduction to how robots sense, think and move. Students build confidence with simple machines, circuits and block-based code.

Age
Ages 9–12
Duration
Term or full academic year
Certification
VEL Foundation Robotics certificate

Skills learned

  • Simple machines and mechanisms
  • Basic circuits
  • Block-based coding
  • Logical thinking
  • Teamwork and presenting

Hardware used

  • Beginner robot kits
  • DC motors and wheels
  • LEDs, buzzers and switches
  • Light, touch and distance sensors

Software used

  • Scratch
  • Block-based robot coding

Activities

  • Build-and-test challenges
  • Maze and line-following races
  • Design sketching
  • Show-and-tell demos

Projects

  • Obstacle-avoiding robot
  • Smart night lamp
  • Robotic car
  • Pick-up claw

Bring this program to your school

We will send the syllabus, lab requirements and schedule options.

Request this program
Grades 7–9

Intermediate Robotics

Students move from blocks to real code, programming microcontrollers and combining sensors, motors and wireless control into complete robots.

Age
Ages 12–15
Duration
Term or full academic year
Certification
VEL Intermediate Robotics certificate

Skills learned

  • Electronics fundamentals
  • Arduino programming (C/C++)
  • Sensors and actuators
  • Introduction to IoT
  • Design thinking

Hardware used

  • Arduino Uno
  • Breadboards and components
  • IR, ultrasonic and temperature sensors
  • Servo and DC motors with drivers
  • Bluetooth modules

Software used

  • Arduino IDE
  • Tinkercad Circuits
  • Block-to-text coding

Activities

  • Circuit labs
  • Robot builds
  • Team challenges
  • Mini competitions

Projects

  • Line-follower robot
  • Bluetooth-controlled car
  • Weather station
  • Smart dustbin

Bring this program to your school

We will send the syllabus, lab requirements and schedule options.

Request this program
Grades 10–12

Advanced Robotics & AI

An engineering-grade program in Python, embedded systems, computer vision and AI that prepares students for competitions and engineering degrees.

Age
Ages 15–18
Duration
Term or full academic year
Certification
VEL Advanced Robotics & AI certificate

Skills learned

  • Python and embedded C
  • Raspberry Pi and ESP32
  • Computer vision basics
  • Introduction to machine learning
  • IoT dashboards
  • Competition robotics

Hardware used

  • Raspberry Pi
  • ESP32
  • Camera modules
  • Robotic arm kits
  • Advanced sensor set

Software used

  • Python
  • OpenCV
  • Teachable Machine and TensorFlow Lite
  • MQTT dashboards

Activities

  • Engineering sprints
  • Hackathons
  • Competition preparation
  • Research mini-projects

Projects

  • Face-tracking robot
  • Gesture-controlled arm
  • Autonomous rover
  • Smart home system

Bring this program to your school

We will send the syllabus, lab requirements and schedule options.

Request this program

Undergraduate programs

Specialised tracks that take students from fundamentals to a complete, working robot.

  1. Fundamentals
  2. Subsystems
  3. Integration
  4. Capstone robot
  • Robotics Engineering

    Mechanics, kinematics, electronics and control, building a complete robot from the ground up.

  • AI & Robotics

    Machine learning and perception applied to real robots.

  • ROS2 & Autonomous Systems

    Nodes, topics, transforms, navigation and SLAM on simulated and physical robots.

  • Embedded Robotics

    Microcontrollers, RTOS, motor control and sensor interfacing.

  • Computer Vision

    OpenCV, deep-learning detection and vision on edge hardware.

  • Industrial Automation

    PLCs, sensors, actuators and automated work cells.

  • Drone Technology

    Multirotor design, flight controllers and autonomous missions.

  • IoT & Smart Systems

    Connected sensors, protocols, dashboards and edge devices.

Graduate programs

Employment-focused programs for graduates moving into robotics engineering roles.

Advanced Robotics Engineer Program

Full-stack robotics: mechanical design, embedded control, ROS2 and system integration on a complete robot.

Prepares you forRobotics engineer, R&D engineer

ROS2 Autonomous Systems Engineer

Navigation, SLAM, sensor fusion and deployment of autonomy on real mobile robots.

Prepares you forAutonomy engineer, ROS developer

AI & Computer Vision Engineer

Detection, segmentation and tracking, from dataset to deployment on edge devices.

Prepares you forComputer vision engineer, AI engineer

Industrial Robotics & Automation

Robotic arms, PLC-based automation, vision inspection and material handling.

Prepares you forAutomation engineer, controls engineer

Embedded Robotics Engineer

Firmware, RTOS, motor control, board bring-up and hardware debugging.

Prepares you forEmbedded engineer, firmware engineer

Industrial training

Programs for companies, institutions and faculty, shaped around your team’s goals.

  • Corporate robotics training

    Robotics fundamentals to advanced topics, shaped around your team.

  • Industrial automation training

    Sensors, PLCs, robotic cells and automated inspection.

  • Employee upskilling

    Structured paths that move engineers into robotics and AI roles.

  • Faculty development programs

    Equip educators to teach robotics, AI and embedded systems.

  • Custom workshops

    Focused sessions on a single tool, platform or problem.

  • Technical bootcamps

    Intensive, project-based programs over days or weeks.

  • Research training

    Research methods, experimentation and technical writing for R&D teams.