B.Tech — Artificial Intelligence and Machine Learning
"Training neural networks in the GPU lab, publishing research as an undergrad — AIML here is the real thing, not just theory."AI/ML StudentB.Tech — Artificial Intelligence & Machine Learning
Introduction
“Our department blends cutting-edge AI and ML research with industry-focused curriculum. With GPU-accelerated labs, partnerships with leading tech firms, and 28+ publications, we are shaping the next generation of AI innovators and data-driven problem solvers.”
The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) was established to meet the rapidly growing industry demand for AI-literate engineers. Offering B.Tech with an intake of 120 students, the department is equipped with GPU-accelerated labs, dedicated AI research clusters and partnerships with leading technology organisations. The curriculum follows the R25 regulation and integrates outcome-based education with project-driven, industry-mentored learning.
Vision
To be a centre of excellence in Artificial Intelligence and Machine Learning education, producing globally competent engineers who drive innovation and responsible technological transformation.
Mission
- Deliver outcome-based, industry-aligned AI and ML education integrating mathematical rigour with practical implementation.
- Foster research culture through collaborations, publications and student-driven projects in AI domains.
- Cultivate ethical AI practitioners who contribute positively to society and adapt to emerging technologies.
- Establish strong industry linkages ensuring high employability and entrepreneurial readiness of graduates.
The department employs a blended learning pedagogy combining Socratic questioning, flipped classrooms and project-based learning cycles. Every semester includes a capstone AI project mentored by industry practitioners. Regular hackathons, Kaggle challenges and paper reading groups supplement formal instruction to develop research-minded problem solvers.
Established in 2020, the Department of CSE (AI and ML) was created in response to transformative industry demand for AI-specialised engineers. Within its first three years the department achieved 100% placements, launched two funded research projects and built a dedicated GPU computing laboratory supporting over 40 concurrent deep learning workloads.