Department of Artificial Intelligence
The Department of Artificial Intelligence at Galgotias College of Engineering & Technology (GCET) was established with the objective of addressing the growing demand for skilled professionals in the domain of Artificial Intelligence and Intelligent Systems. The department offers an undergraduate engineering programme (B.Tech – Computer Science & Engineering (Artificial Intelligence)) and is dedicated to imparting quality education, cutting-edge skills, and industry-oriented training in emerging AI technologies.
The programme is designed to provide comprehensive knowledge of Artificial Intelligence with a strong emphasis on applications, supported by a judicious blend of core computer science fundamentals, mathematical foundations, and advanced AI techniques. The department emphasizes the effective use of modern learning tools and pedagogies for the acquisition of knowledge and skills. Role-play, case studies, project-based learning, practical exposure, assignments, quizzes, seminars, guest lectures, industry–academia interaction, internships, and industry visits form an integral part of the teaching–learning process.
The curriculum is structured in alignment with AICTE and NBA guidelines and provides not only strong technical foundations but also exposure to recent and emerging technologies such as Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Science, Big Data Analytics, and Generative AI. The department strongly believes in the philosophy of “learning by doing”, enabling students to develop practical, application-oriented problem-solving skills rather than limiting learning to theoretical concepts.
The department is supported by a team of highly qualified, experienced, and vibrant faculty members who possess demonstrated expertise across diverse areas of Artificial Intelligence and Computer Science. The faculty comprises a healthy mix of academic and industry experience, enabling effective delivery of both conceptual and practical knowledge. Faculty members specialize in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Data Analytics, Computer Vision, Natural Language Processing, Database Systems, Computer Networks, Operating Systems, Cloud Computing, and Cyber Security.
The Department of Artificial Intelligence is equipped with state-of-the-art laboratories, including AI & ML Labs, Programming Labs, Data Science Labs, Project Labs, and Research & Innovation Labs, providing students with hands-on exposure to modern tools, frameworks, and platforms. Research activities in the department focus on developing and evaluating innovative solutions inspired by technological advancements and societal needs. Key research areas include Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Big Data Analytics, Generative AI, Smart Systems, Healthcare AI, and Sustainable AI applications. The department regularly organizes national and international conferences, workshops, seminars, FDPs, and expert talks to foster a strong research and innovation culture.
Graduates of the department have demonstrated excellence in higher education at reputed national and international universities and have secured prestigious positions in leading IT and technology-driven organizations. The department maintains a strong alumni network, and alumni actively contribute to student mentoring, placements, and departmental development. Placements of AI graduates are among the best in the Institute, reflecting the department’s strong academic rigor and industry relevance.
With continuous evolution and growth, the Department of Artificial Intelligence has established itself as a centre of excellence within the Institute and among peer institutions. It attracts talented students from across the country who aspire to build careers in the rapidly advancing field of Artificial Intelligence. The department is firmly committed to nurturing competent, ethical, innovative, and industry-ready professionals who can effectively respond to the challenges of a dynamic and technology-driven society.
USP of the Department