The Department of Artificial Intelligence and Machine Learning (AI-ML) Engineering is committed to advancing knowledge and fostering innovation in the dynamic fields of AI and ML. Established with the vision of shaping the next generation of technology leaders, the department offers a comprehensive curriculum that connects foundational computing principles with cutting-edge AI and machine learning technologies. Students are encouraged to engage in hands-on projects and collaborative research, equipping them with the skills needed to address real-world challenges. Through partnerships with industry leaders and academic institutions, the department also provides invaluable networking opportunities and internships.

Our programs are designed to equip students with in-demand skills in areas such as deep learning, natural language processing, computer vision, data analytics, robotics, and intelligent systems. By combining theoretical learning with practical experience, students develop the ability to design, develop, and deploy AI-driven solutions to real-world problems across diverse industries.

The department emphasizes:

• An industry-relevant curriculum aligned with global technological trends.
• Interdisciplinary learning that integrates computer science, mathematics, statistics, and domain-specific knowledge.
• State-of-the-art laboratories equipped with advanced computing infrastructure for AI and ML experimentation.
• We foster research and innovation through various projects, publications, and collaborations with both industry and academia.
• Skill development in programming languages (such as Python and R), frameworks (like TensorFlow and PyTorch), and essential tools for AI and ML development.
• The department provides avenues for industry interaction through internships, expert talks, hackathons, and placement opportunities in leading tech firms and research institutions.

With a dedicated faculty team and a focus on experiential learning, the department aims to nurture creative problem solvers and ethical technologists who can lead AI innovations responsibly and effectively.