Department of Artificial Intelligence & Machine Learning (AI & ML)
The Department of Artificial Intelligence & Machine Learning (AI & ML) at Galgotias College of Engineering & Technology (GCET), Greater Noida provides high-quality education, research opportunities, and industry-oriented training in the rapidly evolving fields of Artificial Intelligence and Machine Learning. The department offers a four-year B.Tech program in Artificial Intelligence and Machine Learning designed to build a strong foundation in computing, Data Science and Intelligent Systems. The curriculum integrates core computer science concepts with advanced AI technologies, enabling students to develop innovative solutions to real-world challenges.
The department currently offers the following undergraduate programs, approved by AICTE and affiliated with Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow:
Academic Excellence & Faculty
The department is supported by a team of highly qualified and experienced faculty members from reputed institutions including IITs, NITs, and central universities. Faculty members are actively involved in teaching, research, and consultancy in emerging technological domains such as Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Natural Language Processing, Computer Vision, Robotics, Cloud Computing, Cyber Security, and High-Performance Computing. The department focuses on maintaining a balanced approach between theoretical knowledge and practical implementation so that students are well prepared to meet the demands of the modern technology industry.
Infrastructure & Laboratories
To support practical learning and research activities, the department provides modern infrastructure and well-equipped laboratories. These include Programming Lab, Data Structure Lab, Operating Systems Lab, Computer Networks Lab, Software Engineering Lab, and AI & ML Project and Research Laboratory. These laboratories provide students with hands-on experience and allow them to work on real-world AI-based applications and innovative technical solutions.
Industry Collaboration & Placements
The department also maintains strong collaborations with leading industries to provide students with internships, training programs, and placement opportunities. Students from the department have been successfully placed in reputed companies such as Infosys, Wipro, TCS, Cognizant, IBM, HCL, Josh Technology, Mindtree, Cvent, and Commvault. The industry-oriented curriculum and continuous practical exposure help students develop strong technical knowledge along with professional and problem-solving skills.
Research & Student Development
Research, innovation, and student development are key focus areas of the department. Students are encouraged to publish research papers in reputed SCI, Scopus Indexed Journals, National and International Conference, participate in Technical Workshops, Seminars, and Hackathons, and work on mini and major projects in emerging AI domains. The department also organizes Industrial Visits, Expert Lectures, and Academic Collaborations to help students remain updated with the latest technological advancements.
Career Opportunities
Artificial Intelligence and Machine Learning are among the fastest growing technological domains worldwide. With the increasing adoption of AI across industries, the demand for skilled professionals continues to rise in fields such as AI Engineering, Data Science, Machine Learning Engineering, Robotics, Intelligent Automation, and AI Research. The program equips students with the knowledge and skills required to pursue successful careers in Industry, Research and Entrepreneurship.
Galgotias College of Engineering & Technology (GCET) is approved by the All-India Council for Technical Education (AICTE) and affiliated with Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow. The institution is recognized as one of the leading engineering colleges in Greater Noida and the Delhi-NCR region, providing quality education, strong academic support, and excellent industry exposure.