Department of Artificial Intelligence and Machine Learning

The Department of Artificial Intelligence and Machine Learning is established in the year 2022-23 with an intake of 30 students. The Department is recognized as one of the leading department with infrastructure, facilities and faculties to match very best in education field. Our allied discipline graduates are globally recognized as innovative and well-prepared computing professionals. MyCEM seeing the present era of advancement in technology offers a four-year under-graduate B.E course in Artificial Intelligence and Machine Learning which aims to create a milestone by developing a strong foundation using the principles and technologies that provides in depth knowledge of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to dive deep into the world-class expertise ocean of Artificial Intelligence and Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.
The course is designed to give the students current technological exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms through the hands on sessions in lab. A sound proficiency in mathematics will prove to be beneficial as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to creatively design intelligent solutions for a wide range of business problems in a variety of domains and business applications. The students shall be experiencing taste of fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.