KCET CODE : E300 | COMEDK CODE : E005
KEA - PGCET CODE : VTU : Akash institute of engineering & Technology | MBA - B097 | MCA - C550
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        • BE Artificial Intelligence & Data Science
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        • BE Computer Science Engineering (Data Science)
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BE Artificial Intelligence

and Machine Learning
Explore Courses

BE Artificial Intelligence

and Machine Learning
Explore Courses

BE Artificial Intelligence and Machine Learning

The Department of Artificial Intelligence & Machine Learning (AIML) at Akash Institute of Engineering and Technology (AIET), recognized among the leading artificial intelligence and machine learning engineering colleges in Bangalore, was established in 2023. The Department offers a comprehensive full-time undergraduate programme in Artificial Intelligence & Machine Learning (AIML). As one of the premier AI engineering colleges, the programme is affiliated to Visvesvaraya Technological University, Belagavi, Karnataka and approved by the All India Council for Technical Education (AICTE), New Delhi.
As one of the distinguished AI and machine learning engineering colleges, our AIML 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 contributes significantly to the advancement of AI & ML knowledge and applications. What sets us apart among artificial intelligence and machine learning engineering colleges in Bangalore is our commitment to preparing students for successful careers through a perfect blend of theoretical knowledge and practical implementation.
What drives us?

Today’s vision for tomorrow

VISION

To produce competent Professionals in Artificial Intelligence and Machine Learning, driving global impact and excellence in research, industry and society

MISSION

  • To establish a solid foundation in Artificial Intelligence and Machine Learning and effectively address real-world challenges.
  • To develop resilient professionals by encouraging them to create applications for industry and innovation.
  • To cultivate a research-oriented mindset in students, encouraging them to create applications that have practical value and make a positive impact on society.

VISION

To produce competent Professionals in Artificial Intelligence and Machine Learning, driving global impact and excellence in research, industry and society

MISSION

  • To establish a solid foundation in Artificial Intelligence and Machine Learning and effectively address real-world challenges.
  • To develop resilient professionals by encouraging them to create applications for industry and innovation.
  • To cultivate a research-oriented mindset in students, encouraging them to create applications that have practical value and make a positive impact on society.

Course Duration & Eligibility

Duration: 4 years (semesters)

STUDENTS INTAKE: 180

  • Eligibility Criteria
  • admission
Second year Pre-University or XII standard or equivalent examination recognized by the University with English as one of the language. Shall have secured a minimum of 45% marks in aggregate (40% marks in aggregate for SC/ST) in Physics, Mathematics as compulsory subjects, along with any one of the following subjects, namely, Chemistry, Bio-Technology, Computer Science, Biology and Electronics.
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 with a minimum of 45% marks in aggregate (40% marks in aggregate for SC/ST)
Through KCET/COMEDK/Management
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Program Outcomes

Engineering Knowledge

Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop to the solution of complex engineering problems.

Problem Analysis

Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.

Design/Development of Solutions

Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.

Conduct Investigations of Complex Problems

Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

The Engineer and The World

Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.

Ethics

Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.

Individual and Collaborative Team work

Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

Communication

Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.

Engineering Tool Usage

Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.

Project Management and Finance

Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

Life-Long Learning

Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.

Admission procedure

We offer a range of undergraduate and postgraduate programs in various engineering disciplines. At the Akash Institute of Engineering & Technology, each program is designed to meet industry demands and nurture a deep understanding of the subject.

Students have to log in first to the application portal
Students should correctly fill in all the details mentioned in the application form
Submit the application form with the required documents
The shortlisted students will be invited for the selection process

Faculty

A team of highly skilled and knowledgeable teaching staff members make up the AIML department at our institute, which is recognized among the top AI and machine learning engineering colleges. Our faculty members have published a significant number of technical articles in reputable peer-reviewed journals and at international conferences, in addition to their regular academic activities. To further assist the student community, faculty members have written book chapters and received patents, reinforcing our position among the leading artificial intelligence and machine learning engineering colleges in Bangalore.
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Faculty

The Department of Computer Applications, ranking among the good MCA colleges in Bangalore, has a team of well-qualified and experienced faculty members with strong academic backgrounds and industry expertise. Our faculty members, along with their regular academic activities, have published numerous technical papers and research papers in various reputed peer-reviewed journals and international conferences. Additionally, faculty members hold patents and have authored book chapters to support the student community, reinforcing our reputation among MCA colleges in Bangalore.
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Career opportunities & Placement

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Activities

The department, standing out among AI engineering colleges, conducts various activities as part of the teaching-learning process to enhance students’ learning ability, academic performance, and placement outcomes, in addition to the regular academic syllabus:
  • Hackathons
  • Coding Competitions
  • Technical Workshops
  • Hands-on Training
  • Guest Lectures from Industry Experts
  • Student-Led Technical Clubs
  • Hackathons
  • Coding Competitions
  • Hands-on Training
  • Guest Lectures from Industry Experts
  • Technical Workshops
  • Student-Led Technical Clubs
  • Seminars
  • Industrial Visits
  • Competitions
  • Campus Connect Programs
  • Entrepreneurship Activities
  • Project Showcases
  • Seminars
  • Industrial Visits
  • Campus Connect Programs
  • Entrepreneurship Activities
  • Project Showcases
  • Competitions
  • Research & Publications
  • Student Mentoring
  • Interdisciplinary Learning
  • Placement Training
  • Research & Publications
  • Student Mentoring
  • Placement Training
  • Interdisciplinary Learning

Infrastructure & Facilities

AIET, as one of the premier AI engineering colleges, boasts excellent infrastructure and world-class facilities that enhance learning abilities and help students achieve their goals Our state-of-the-art facilities position us among the best AI and machine learning engineering colleges, providing students with access to cutting-edge technology and tools essential for AI and machine learning development.

Modern lecture halls with contemporary amenities and smart classroom technology

High-performance computing resources and advanced computer laboratories

Comprehensive library facility with extensive collection of books, journals, and digital resources

Strong industry collaboration partnerships with leading IT companies

Dedicated placement cell for internship and career assistance

Latest software tools and development platforms for hands-on learning

Courses Offered at AIET

Curated for creators, innovators & future leaders

Explore the range of courses offered by Bangalore’s best engineering college, Akash Institute of Engineering & Technology.

  • Engineering
  • Management
  • Computer Applications
BE Computer Science & Engineering

BE Computer Science & Engineering

BE Information Science & Engineering

BE Information Science & Engineering

BE Artificial Intelligence & Machine Learning

BE Artificial Intelligence & Machine Learning

BE Artificial Intelligence & Data Science

BE Artificial Intelligence & Data Science

BE Computer Science Engineering (Cyber Security)

BE Computer Science Engineering (Cyber Security)

BE Computer Science Engineering (Data Science)

BE Computer Science Engineering (Data Science)

BE Electronics & Communication Engineering

BE Electronics & Communication Engineering

BE Mechanical Engineering

BE Mechanical Engineering

Department of Applied Science & Humanities

Department of Basic Science & Humanities

BE Computer Science & Engineering

Master of Business
Administration

BE Computer Science & Engineering

Master of Computer
Applications

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