Artificial Intelligence and Machine Learning

UG – B.Tech. Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning is introduced from the Academic Year 2021-22.

VISION

To be a premier center of excellence in producing professionals in Artificial Intelligence and Machine Learning through excellence in education and positive contribution to the organizations and society.

MISSION

To provide a conducive atmosphere to master the students in problem solving and analytical skills to enhance their expertise in the field of Artificial Intelligence and Machine Learning through innovation and socially responsible with ethical values.
To impart high quality professional training to get expertise in modern software tools and technologies to cater to the real time requirements of the industry.
To encourage students all-round professional growth, with up-to-date knowledge in AI&ML, team spirit, leadership abilities and creativity.

Graduates will have technical skills, competency in fundamentals of Mathematics, Programming and Artificial Intelligence in modelling, designing and conducting of experiments to provide solutions for industry’s complex technological problems.
Graduates will contribute towards the knowledge base through significant research activities to promote design and implementation of products and services in the field of Engineering through effective Communication skills.
Graduates will equip with strong knowledge, competence and soft skills that allows them to contribute to the needs of society and engage in continuous professional development through life-long learning.
Graduates will commit to work in multi-disciplinary teams ethically and socially responsible solution providers and entrepreneurs in the field of Artificial Intelligence and Machine Learning.

Graduates should be able to develop computational knowledge and project development skills and apply practical competency using innovative tools and techniques to solve problems in the field of artificial intelligence for efficient design of intelligent systems of varying complexity.
Graduates should be able to contribute productive ideas and innovative solutions for interdisciplinary problems through acquired programming knowledge in the respective domains complying with real-time constraints.
Graduates should be self-motivated and enhance self-learning as well as capability to adapt to construct systems by applying AI/ML methods, to derive software systems of high quality.