IIT Ropar, NSDC, Masai School launch minor programme in AI and machine learning

NEW DELHI: The Indian Institute of Technology Ropar (IIT Ropar), National Skill Development Corporation (NSDC), and Masai School have collaborated to introduce a jointly certified minor program in Artificial Intelligence and Machine Learning (AI, ML). The aim is to bring together the expertise of three universities to deliver a quality educational experience.

Rajeev Ahuja Director, IIT Ropar said, “The Minor Program in AI and ML epitomises our dedication to providing students with a holistic educational experience, blending academic rigour with hands-on application. With great anticipation, we embark on this journey to push boundaries and revolutionise technological education. We aim to nurture forward-thinking pioneers equipped to tackle emerging challenges with innovation and confidence."

Atul Kumar Tiwari, Secretary, MSDE said, “Intelligence (AI) skill courses are pivotal as we navigate the demands of the modern economy. Integrating AI into our curriculum underscores our commitment to equipping students with cutting-edge competencies that are highly sought after in today's job market. AI is not just a technological advancement; it's a transformative force that is reshaping industries, driving innovation, and creating new economic opportunities for our youth. I am happy to witness such partnerships as this one between IIT Ropar, and Masai and wish them the very best."

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Commenting on the partnership, Prateek Shukla, Co-Founder, and CEO of Masai School, said “We are not just transforming education; we're sculpting a new paradigm in skill-based learning, sculpting a dynamic talent pool primed for global success. This collaboration stands as a testament to our unwavering commitment to reshaping the landscape of technical education.”

Program in artificial intelligence and machine learning

Students will participate in lectures and undergo assessment by professors from IIT Ropar. The curriculum consists of seven modules: basics of swift engineering, introduction to machine learning, data management and processing, neural networks and advanced learning, natural language processing, operations of large language models (llms), and a capstone project.