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B. Tech. in Artificial Intelligence and Machine Learning

Overview

With a deliberate emphasis on striking an optimal balance between theoretical knowledge and practical experience, this programme is designed to meet the escalating industry demand for skilled individuals. It ensures a comprehensive understanding of algorithms and methodologies and the strategic integration of acquired data in developing Al systems.

Duration

Four Years / Eight Semesters

Commence of the course


Course Duration

Four Years


Mode of Study

Eligibility


B. Tech. (Regular)

10+2 from recognized Board / Council with Minimum 50% marks in Physics & Mathematics as compulsory subjects along with one of the Chemistry /Biotechnology / Biology / Technical Vocational Subject.

Score in JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; AUEET (Alliance Undergraduate Engineering Entrance Test); or any other State-Level engineering entrance examination.


B. Tech. (Lateral)

Passed Diploma examination with at least 50% marks in relevant branch of Engineering and Technology.

Passed B. Sc. Degree from a recognized University as defined by UGC, with at least 50% marks & passed 10+2 examination with Mathematics as a subject.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST / OBC (non-creamy layer)/ Differently Abled.


Programme Features

Industry-aligned curriculum ensuring relevance and up-to-date knowledge.

Strategic partnerships with industry leaders for valuable certifications.

State-of-the art lab facilities, including a centre of excellence in collaboration with Proglint Solutions pvt. ltd.

Emphasis on practical problem-solving in Al and ML, fostering hands-on experience.

Comprehensive placement preparedness and career support for seamless transitions.

Research focus, algorithm development, and practical industry application for a well-rounded education.

Programme Structure

Career Opportunities

Explore diverse career opportunities in the dynamic field of AI and Data Science, where you can shape the future as an Artificial Intelligence Engineer, utilizing innovative solutions; become a Data Science Consultant, extracting valuable insights from data; specialize in Computer Vision Engineering, crafting systems for visual data interpretation; delve into the world of Machine Learning as an Engineer, contributing to autonomous learning algorithms; or embark on a path as a Software Engineer, using your programming prowess to create efficient and robust software solutions. The possibilities are vast, offering a range of roles that align with your passion and expertise in this ever-evolving industry.

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