The Department of Artificial Intelligence and Machine Learning (AIML) at GNIT is dedicated to providing students with a comprehensive education in the rapidly evolving fields of AI and ML. The department is committed to fostering a culture of innovation, research, and entrepreneurship, enabling students to become leaders in the industry and academia.
Dr. Suman Bhattacharya
Welcome to the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Guru Nanak Institute of Technology, established in 2024 with the vision of nurturing future-ready professionals in the era of intelligent technologies.
The rapid advancement of AI and Machine Learning is transforming industries and reshaping the way we interact with technology. Our department is committed to delivering an industry-aligned curriculum, hands-on learning experiences, and a strong foundation in core computing and intelligent systems.
We focus on empowering our students with the skills necessary to solve real-world problems through cutting-edge technologies such as deep learning, natural language processing, data analytics, and robotics. Our dedicated faculty, modern infrastructure, and collaborative research environment support innovation and academic excellence.
We strive to foster creativity, ethical responsibility, and lifelong learning, enabling our graduates to excel in both industry and research.
We welcome aspiring minds to be a part of this exciting journey in shaping the future of AI and Machine Learning.
Warm regards,
[Dr. SUMAN BHATTACHARYA]
Head of the Department
CSE (AI & ML), GNIT
Eighty nine percent of students say services helps them feel like they belong at GNIT
To become a leading department in the field of Artificial Intelligence and Machine Learning (AIML) education, research, and innovation, producing highly skilled professionals who can contribute to the development of intelligent systems and solve real-world problems.
The AIML department at GNIT is committed to providing students with a world-class education and exposure to cutting-edge technologies. Through a blend of theoretical knowledge and practical experience, students will be well-prepared to tackle the challenges of the AI-driven future and make significant contributions to the field.