Computer Science AND Engineering (Artificial Intelligence and Machine Learning)
Program Overview
The B.E in Computer Science & Engineering (Artificial Intelligence and Machine Learning) at Cauvery College of Engineering is designed to prepare students for the future of intelligent systems. This program integrates core computer science principles with specialized training in AI and ML, covering topics like neural networks, deep learning, and natural language processing. Aligned with VTU and NEP 2020, our curriculum ensures students are equipped to develop innovative AI solutions, supported by industry collaborations and modern teaching methods that foster creativity and technical excellence.
Program Highlights
- Specialized training in AI frameworks like TensorFlow and PyTorch.
- Dedicated AI & ML lab with GPU-enabled systems for deep learning projects.
- Guest lectures and workshops by AI industry experts.
60 Seats
Candidates must have passed the PUC/10+2 examination with Physics and Mathematics as compulsory subjects, along with one of the following: Chemistry, Biotechnology, Biology, Computer Science, Electronics, or a Technical Vocational subject. A minimum of 45% marks (40% for SC/ST & OBC candidates) in the above subjects combined is required, from a board recognized by the State Government, Central Government, Union Territories, or an equivalent qualification. Admissions are through KCET, COMEDK UGET, or JEE Main.
Internships
Our Internships provide practical exposure to AI and ML applications in industries like healthcare, finance, and automation. Students can intern at top organizations, academic institutes, or R&D labs, working on projects involving predictive analytics, computer vision, or robotics. Our MoUs with industry leaders enable access to cutting-edge tools and mentorship for impactful internships.
Projects
Students undertake hands-on tasks across semesters to apply AI and ML concepts to real-world problems, such as building chatbots or image recognition systems. The final-year Major Project focuses on advanced topics like autonomous systems, generative AI, or intelligent automation, often in collaboration with industry partners to ensure relevance and innovation.
Career Prospects
Graduates can become AI Engineers, Machine Learning Engineers, Data Scientists, or Robotics Specialists, with opportunities in companies like Google, Microsoft, Amazon, and startups. The program also prepares students for research roles or advanced studies in AI and ML.