Who can apply?
Students with an engineering and problem-solving mindset, and working skills in the programming or technical tools their chosen track needs, who want hands-on EV, battery, AI, cybersecurity, autonomous-systems, aerospace or space project experience. A discovery call confirms fit before you start.
What prerequisites are required?
It depends on the track. Everyone needs to be able to break down and debug technical problems and to research and document engineering decisions. EV and battery projects add EV architecture and lithium-ion fundamentals; AI and software projects add Python, web or mobile skills and basic AI/ML concepts; space and aerospace projects add the relevant physics, electronics, mechanical or software fundamentals. See the Prerequisites section above for the full list.
What will I learn?
Depending on the track: EV battery systems and BMS (cell → module → pack, SOC/SOH), automotive cybersecurity, real-world data acquisition and analysis, AI/ML for battery intelligence, or — on the model rocketry track — aerodynamics, propulsion, recovery, avionics and telemetry.
Is this an internship, paid training, or a workshop?
It differs by track. The 12-month Training & Internship Program combines 6 months of training with 6 months of internship and publishes phase-wise fees (online or workspace); a separate merit-based free track exists for qualified students with a refundable security deposit. The model rocketry guide is an independent educational workbook, not an internship or employment offer.
Is a stipend guaranteed?
No stipend is published or guaranteed. The standard pathway publishes phase-wise training fees, and the merit-based student track requires a refundable security deposit rather than paying a stipend — see the Selection Process & Fees page for verified details.
How do I apply?
Use the Apply button above to fill the application form, or email your resume via the Submit Resume button below. A short discovery call typically follows before a track is confirmed.