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The EV & Future Mobility program by IIT Madras Pravartak introduces school students (Classes 7 to 12) to electric vehicles, battery technology, charging infrastructure, and the future of transportation through live online sessions. Explore how EVs work, understand India’s growing electric mobility ecosystem, and discover the technologies shaping the future of mobility. Earn an IIT Madras Pravartak certification and build essential knowledge of electric vehicles and future transportation.
5th December, 2026 - Live Session, 6–8 PM IST
Dr. Shanmugakumar Murugesan
Founder & CEO, TARVAN | Physical AI Researcher | Adjunct Professor, Shiv Nadar University ChennaiSchool Students, Class 7-12
Online, Live sessions
EV & Future Mobility introduces school students to the exciting and rapidly evolving world of electric vehicles and next-generation transportation. Through an expert-led live session and curated learning resources, students will discover how electric vehicles work, understand the fundamentals of battery technology and charging infrastructure, explore India’s growing EV ecosystem, and learn about emerging trends shaping the future of mobility.
The program aims to help students understand emerging technologies, connect STEM concepts to real-world applications, and develop a future-ready perspective on transportation and mobility.
Course Duration: 8 hours
Live Expert Session: 5th December, 2026 - Live Session, 6–8 PM IST
Certification Examination: 12th & 13th December, 2026
8 Hours of Learning, including:
Follow these four steps end-to-end to earn your certification.
Build your foundation with live training.
Reserve your certification assessment slot.
Complete your secure AI-proctored online exam.
Earn your industry-recognized certification upon successfully passing the exam.
For school students in Classes 7 to 12 looking to build future-ready skills and explore new areas of learning.
By the end of the program, students will be able to:
Dr. Shanmugakumar Murugesan is the Founder and CEO of TARVAN, a Chennai-based Physical AI company focused on industrial automation integrating machine vision, edge AI, embedded systems, and real-time motor control.
He holds a Ph.D. in Computer Science & Engineering from IIITDM Kancheepuram and a Master of Design in Electronic Systems. His expertise spans computer vision, edge AI, hardware-software co-design, embedded systems, and real-time machine control.
He is also an Adjunct Professor at Shiv Nadar University Chennai, where he teaches Computer Architecture, Data Science, and Machine Learning.
Your final examination score determines the grade awarded on your certificate. Grades are assigned according to the following criteria:
Candidates must achieve a minimum score of 40% to be eligible for certification.
EV & Future Mobility introduces school students to the exciting and rapidly evolving world of electric vehicles and next-generation transportation. Through an expert-led live session and curated learning resources, students will discover how electric vehicles work, understand the fundamentals of battery technology and charging infrastructure, explore India’s growing EV ecosystem, and learn about emerging trends shaping the future of mobility.
The program aims to help students understand emerging technologies, connect STEM concepts to real-world applications, and develop a future-ready perspective on transportation and mobility.
Course Duration: 8 hours
Live Expert Session: 5th December, 2026 - Live Session, 6–8 PM IST
Certification Examination: 12th & 13th December, 2026
8 Hours of Learning, including:
Follow these four steps end-to-end to earn your certification.
Build your foundation with live training.
Reserve your certification assessment slot.
Complete your secure AI-proctored online exam.
Earn your industry-recognized certification upon successfully passing the exam.
For school students in Classes 7 to 12 looking to build future-ready skills and explore new areas of learning.
By the end of the program, students will be able to:
Dr. Shanmugakumar Murugesan is the Founder and CEO of TARVAN, a Chennai-based Physical AI company focused on industrial automation integrating machine vision, edge AI, embedded systems, and real-time motor control.
He holds a Ph.D. in Computer Science & Engineering from IIITDM Kancheepuram and a Master of Design in Electronic Systems. His expertise spans computer vision, edge AI, hardware-software co-design, embedded systems, and real-time machine control.
He is also an Adjunct Professor at Shiv Nadar University Chennai, where he teaches Computer Architecture, Data Science, and Machine Learning.
Your final examination score determines the grade awarded on your certificate. Grades are assigned according to the following criteria:
Candidates must achieve a minimum score of 40% to be eligible for certification.