Artificial Intelligence and Machine Learning is a branch of study which includes theories, standards, methods and innovations of various different domains like mathematics, cognitive science, electronics and embedded systems to make intelligent systems that mimic human behaviour. Artificial Intelligence and Machine Learning focuses on collecting, categorizing, strategizing, analyzing and interpretation of data. It is a specialized branch that deals with the development of embedded systems like robotics and IoT based applications. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world business problems.
Artificial Intelligence and Machine Learning is an appropriate course for those who like to develop various innovative and intelligence solutions to solve complex industrial and business problems. This can contribute in industrial automation, information technology and other sectors like healthcare, agriculture, wearable, space, and meteorology through analysis of raw data, extract intelligence from that and design, develop, support and testing of AI and ML based systems along with embedded applications.
In this course, you will learn how to design, create and implement AI and ML based software solution to solve real-world problems. This course helps to explore concepts such as AI, Machine Learning, Deep Learning, Image Processing, Virtual Reality and IoT and its applications.
AI and ML graduates will be able to design, create and implement intelligent software applications to solve real-world business and industrial problems. They use the latest tools and open-source technologies to recommend apt solutions. They can figure out how to evaluate the ethical, legitimate, proficient and social standards of engineering knowledge and practices. AI and ML graduates can also showcase their expertise in knowledge management, mobile and distributed application development, intelligence web/ecommerce development, database administration, computer hardware, networking, education and training and decision support systems using machine learning concepts with the help of latest tools and technologies.
Programme Duration – 4 Years (8 Semester)
Programme Type: – Full-Time
Eligibility Criteria: – The candidate should have passed the 2nd PUC/12th/Equivalent Exam with English as one of the languages and obtained a minimum of 45% of marks in aggregate in Physics and Mathematics along with Chemistry/Biotechnology/Biology/Electronics/Computers (40% for Karnataka reserved category candidates).
Candidate must also qualify in one of the following entrance exams: CET/ COMED-K/JEE/AIEEE