VTU: Akash Institute of Engineering and Technology
MBA - B097 | MCA - C550

BE Artificial Intelligence and Machine Learning

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BE Artificial Intelligence and Machine Learning

The Department of Artificial Intelligence & Machine Learning (AIML) at Akash Institute of Engineering and Technology (AIET), was established in the year 2023. The Department offers full-time UG programme in Artificial Intelligence & Machine Learning (AIML). The programme is affiliated to Visvesvaraya Technological University, Belagavi, Karnataka and approved by All India Council for Technical Education (AICTE), New Delhi. An AI & ML Department plays a pivotal role in shaping the next generation of professionals in these dynamic fields. By prioritizing faculty expertise, a robust curriculum, industry collaboration and cutting-edge infrastructure the department contribute significantly to the advancement of AI & ML knowledge and applications. This, in turn, prepares students for successful careers.


The department will conduct various activates as a part of teaching learning process in order to improve the students learning ability, performance in academics and placement, apart from regular academic syllabus.

  • Project based learning
  • Model and Simulation based learning
  • Technical talk / Guest lecture / Skill based workshops
  • Student Development Programs
  • Seminars
  • Industrial visits
  • Placement training
  • Entrepreneurship awareness programs
  • Student Internships
  • Partial Delivery of the curriculum by industry experts
  • Students presentation on latest trends and technologies
  • Student project exhibition
  • Forum activities
  • Support for MOOC courses, state and national level competition
  • Encouraging fast learners to achieve best performance in academics and participation in various competitions, publishing research papers in reputed journals
  • Support for academically challenged students through remedial classes


A team of highly skilled and knowledgeable teaching staff members make up the AIML department. A significant number of technical articles that faculty members have published in reputable peer-reviewed journals and at international conferences are in addition to their usual academic activity. To further assist the student community, faculty members have written book chapters and received patents.

Infrastructure and facilities

AIET has good infrastructure and world-class facilities to learn the mechanical engineering, which enhances the learning abilities for the students to achieve their goal.

  • Modern Lecture Halls
  • High-Performance Computing Resources
  • Library Facility
  • Industry Collaboration
Duration Eligibility

4 years

a) Second year Pre-University or XII standard or equivalent examination recognized by the University (with Physics and Mathematics as compulsory subjects, along with any one of the following subjects, namely, Chemistry, Bio-Technology, Computer Science, Biology and Electronics)
b) Admission to II year/ III semester Bachelor Degree in Engineering/ Technology (Lateral Entry) shall be open to the candidates who are holders of a diploma or equivalent qualification as recognized by University

Admission Procedure

BE Artificial Intelligence and Machine Learning
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