B.Tech Artificial Intelligence and Data Science
Passed min. 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.
XII Science with Physics, Chemistry and Mathematics (min 50% marks (45% in case of candidate belonging to the reserved category and a person with Disability belonging to Maharashtra State only) taken together in Physics, Mathematics and any one of the optional subjects.)
Passed Diploma in Engineering and Technology and obtained at least 50% marks (at least 45% marks, in case of Backward class categories and person with Disability candidates belonging to Maharashtra State only)
Passed B.Sc. Degree from a Recognized University as defined by UGC and obtained at least 50% marks (at least 45% marks, in case of Backward class categories and person with Disability candidates belonging to Maharashtra State only)
Admission Process: JEE, ACET, Personal Interview
About B.Tech AIDS:
The B. Tech. Computer Engineering Program aims providing a systematic foundation in computer engineering. The core emphasis is on making candidate capable to understand, design and analysis the problem; delivered through a project based approach. Students are trained in such a way that they can design the engineering solutions for the existing real-world computing problems.
Students are skilled for core of computer science course which ensures a strong foundation in computer engineering. Building on this foundation, students explore a variety of specializations.
Programming machines is the main focus of the B.Tech undergraduate degree in artificial intelligence and machine learning. In essence, it enables the candidate to interact with the machine in its own speech. The candidate must therefore master these particular languages as part of the programme in order to tailor the functionality of machines.
This is just one of the many facets of this programme; in addition to these fundamental subjects, there are many others. This course covers a wide range of topics that help the student comprehend how things work, including information on knowledge representation, probabilistic models, and reasoning techniques from the viewpoint of computers.
The candidates are actually familiarised with more complex forms of decorum in addition to learning about artificial intelligence. For instance, they are taught about augmented reality, deep learning, and human computer interface. During this degree, several institutions additionally offer the students multidisciplinary courses. Students could be expected to learn edge computing, how the internet works, psychology, robotics, and selling one's computer programme.
It is not a recent development, but with the emergence of the internet, an age of automation has also recently risen quickly. Artificial intelligence is becoming increasingly necessary. The largest programming-related businesses in the world, such Facebook, Google (a foreign player), and numerous IT firms, may hire graduates of this introductory course. As a result, the graduate may have many of opportunities if he enters the service industry.
The subjects of study are broadly grouped in subject domains; the depth and complexity of the inputs are increased in each subsequent semester:
- Basic Science Mathematics and core programming language
- Data Structure & Algorithm skills
- Developing Problem Solving & Programming Skills
- Integration of Technology & Experience gaining
- Industrial Exposure & Job readiness
- Professional core courses and values
The scope of specialization in this field may aid the graduate in, pursing jobs in both public and private sector, the individual can pursue following jobs:
- Machine Learning Engineer
- Big Data & AI Architect
- Big Data Scientist
- Artificial Intelligence Engineer
- Research Engineer - Artificial Intelligence
- Data and AI Consultant
- Robotics Professional