Chhatrapati Shahu Ji Maharaj University, Kanpur is building a future-facing AI ecosystem through curriculum enrichment, applied research, student innovation, interdisciplinary projects, and a strong platform for scholarly contribution.
Stay updated with faculty development programmes, seminars, trainings, hackathons, and collaborative AI initiatives at CSJMU.
Faculty Development Program: Training on Artificial Intelligence Organized by: CAM-AI Team (CSJMU) Date: 15th April 2026 | Venue: Online Mode (Link will be shared via email)
To strengthen faculty proficiency in Generative AI tools and prompt engineering, a seminar-cum-hands-on training programme will be conducted for faculty members of the campus.
2 day orientation and capacity building programme
A pre-conference workshop on “Artificial Intelligence in Modern Biological Research” was successfully conducted on 11 March 2026 by the School of Life Sciences and Biotechnology (SLSBT), Chhatrapati Shahu Ji Maharaj University (CSJMU), Kanpur. The workshop was organized as a precursor to the International Conference on Advances in Life Sciences (ICALS 2026) scheduled from 12–14 March 2026.
Under the inspiration and guidance of the Hon’ble Vice-Chancellor Prof. Vinay Kumar Pathak, the Department of Education, Chhatrapati Shahu Ji Maharaj University, Kanpur organized a Seven-Day Artificial Intelligence Innovation Workshop from 09 March 2026 to 15 March 2026 on the theme “The AI Enhanced Educator”. The workshop was organized in collaboration with AcadLearn Organization with the objective of equipping teachers, research scholars, and students with modern Artificial Intelligence tools for teaching, research, and academic administration.
Academic orientation toward intelligent systems, tools, and responsible AI literacy.
Applied exposure to machine learning, analytics, data modeling, and experimentation.
Promotion of research, publication, innovation cells, and academic collaboration.
CSJMU Kanpur is nurturing an inclusive AI ecosystem where higher education, research, and innovation come together. The initiative promotes curriculum modernization, collaborative research, student-led experimentation, and stronger scholarly engagement across departments.
To prepare students and faculty for the next decade of intelligent systems, data-informed decision making, and ethical innovation.
Research opportunities, project incubation, skill development, seminars, publication support, and industry-academia collaboration.
Foundational AI, data tools, coding practice, and domain-linked learning modules.
Problem solving through funded research, faculty collaboration, and student projects.
Hackathons, expert talks, bootcamps, and hands-on sessions for practical exposure.
Interdisciplinary collaboration with departments, institutions, and industry partners.
