Programme Overview
An advanced engineering programme in artificial intelligence and machine learning covering deep learning, NLP, computer vision, and data science.
What You Will Learn
- Advanced theoretical and practical knowledge in B.Tech. (AI & ML)
- Research methodologies and field-based experimental techniques
- Modern technology applications including precision agriculture and IoT
- Vedic agricultural principles and organic farming practices
- Agri-entrepreneurship, farm management, and industry exposure
- Environmental sustainability and natural resource conservation
Career Opportunities
- Government agricultural departments and services
- Agri-tech startups and established agricultural companies
- Research institutes (ICAR, SAUs, private labs)
- Teaching and academia (with further qualifications)
- Banking (agriculture lending), insurance, and commodity markets
- International organisations (FAO, UNDP, World Bank agri-projects)
- Self-employment: farming, agri-business, organic produce ventures
Eligibility
10+2 minimum 45% marks for Gen/OBC and 40% for SC/ST/PWD (Physics, Maths, Chemistry/IT/CS)
