Structured programmes for students and educators
Every course is mapped to duration, audience, topics, learning outcomes and project work — so academic planning is straightforward.
Junior STEM Explorer
- Science exploration
- Simple machines
- Block coding
- Creative making
Outcomes: Curiosity, observation skills and confidence with hands-on building.
Projects: 6–8 guided STEM builds across the year.
Request detailsRobotics & Coding Foundation
- Robotics
- Sensors
- Microcontrollers
- Logic and coding
Outcomes: Ability to build and program a working autonomous robot.
Projects: Line follower, obstacle avoider, sensor automation.
Request detailsAI & Advanced Robotics
- Python
- AI fundamentals
- Computer vision
- IoT
- Automation
Outcomes: Capability to design and present an AI-enabled innovation project.
Projects: Capstone AI or robotics project with documentation.
Request detailsRobotics Bootcamp
- Robot assembly
- Sensor basics
- Live challenge
Outcomes: First hands-on robotics experience for a full cohort.
Projects: One working robot per team.
Request detailsAI Kickstart Workshop
- What AI really is
- Training a simple model
- AI ethics
Outcomes: Practical understanding of how AI systems are built.
Projects: A trained mini model demonstrated by each team.
Request detailsCertified Young Innovator
- Design thinking
- Prototyping
- Presentation
Outcomes: Certificate on completion of a documented innovation project.
Projects: One end-to-end innovation project.
Request detailsApplied AI & ML for Engineers
- Python
- Machine learning
- Deep learning
- Deployment
Outcomes: Industry-relevant AI/ML project portfolio.
Projects: Two applied projects with evaluation.
Request detailsEmbedded & IoT Skill Track
- Embedded C
- Sensor interfacing
- IoT cloud
- Edge computing
Outcomes: Hardware-software integration capability.
Projects: Connected system prototype.
Request detailsSTEM Teacher Enablement
- Lab operation
- Activity delivery
- Assessment
- Project mentoring
Outcomes: Confidence to run the lab independently.
Projects: Guided delivery of sample lessons.
Request detailsFaculty Development Program — AI/ML
- AI/ML curriculum
- Lab pedagogy
- Research directions
- Project supervision
Outcomes: Faculty readiness to deliver and supervise AI/ML coursework.
Projects: Course plan and lab manual development.
Request detailsFlexible formats for every academic calendar
Where these courses are delivered
Labs used for course delivery
Each programme runs inside a matching STEM, robotics, AI or IoT lab.
Labs used for course deliveryProjects built during these courses
See the applied builds learners complete across the programme.
Projects built during these coursesSchool solutions overview
How programmes fit into a school's academic calendar.
School solutions overviewReady to build your next-generation lab?
Tell us what your institution needs and our team will design the right STEM, Robotics or AI solution.