Join a small, hand-picked cohort of school students learning robotics, Python, and machine learning every weekend — completely free, led personally by Avinash and the SkolarAI team.
Admission Process
Complete the application below with details about the student, their school, and what they're curious about. Takes about 5 minutes.
Shortlisted applicants receive a short written test covering logical reasoning and pattern recognition. No prior coding knowledge needed.
A brief conversation with a SkolarAI mentor to understand the student's curiosity, communication, and readiness for structured weekend learning.
Successful applicants receive an admission offer and are onboarded into the LMS before their first weekend session begins.
What We Teach
All three courses run on weekends, are taught personally by the SkolarAI team, and are completely free. Pick the one that excites your child the most.
A hands-on introduction to programming using Python. Students learn variables, loops, functions, and build small real-world projects — no prior coding experience needed.
Students explore how machines learn from data. Covers core concepts of supervised learning, model training, and real-world AI applications — explained simply, practised hands-on.
Students get their hands dirty building and programming real robots. Covers circuits, sensors, motors, and basic automation — learning engineering by doing, not watching.
Not sure which to pick? Mention it in the application and the SkolarAI team will suggest the best fit after the assessment.
Frequently Asked Questions
Completely. SkolarAI Robo Club has always been free and always will be. No registration fees, no material costs, no hidden charges of any kind.
No prior coding or robotics knowledge is required. We only look for curiosity and commitment. The aptitude test checks logical thinking, not technical skills.
Avinash and the core SkolarAI team teach every session personally. We never use substitute instructors or outsource teaching to others.
Students learn hands-on robotics, Python programming, and introductory machine learning concepts — all through practical projects, not theory-heavy lectures.
We keep cohorts intentionally small to maintain quality. Not every applicant will be admitted — but every applicant gets a fair assessment regardless of background.
Sessions are held on weekends (Saturday and Sunday). We ask that students commit consistently — this isn't a drop-in programme, it's a structured learning journey.