

Admission Open for BE in AI & Machine Learning
Engineering (B.E. / B.Tech)
Shortlisted by 188+ Students
Location: Bengaluru/Bangalore
Duration: 4 YEAR
Regular / Offline
Average Fees: ₹ 9 Lakhs
Highlights • AIET offers a 4-year B.E. in Artificial Intelligence and Machine Learning, emphasizing both theoretical and practical aspects. • Affiliated with Visvesvaraya Technological University and recognized by the Government of Karnataka, with AICTE approval. • The modern campus in Bangalore is set in a peaceful, green environment, ideal for focused learning away from city distractions. • Strong industry connections ensure 100% placement assistance, with career opportunities in various sectors like IT, Healthcare, and Finance. • The Placement Cell provides robust support, including mock interviews, soft skills training, and live project experiences to boost employability. • Various scholarships and awards are available, including state and national options, making higher education accessible for meritorious students. • Regular industry visits, expert lectures, and skill development sessions enhance practical learning and industry exposure.
B.E. in Artificial intelligence & Machine Learning
Duration: 4 Years
Total Fees: INR 900000
Lateral Entry: 3 Years (Total Fees: 675000)
Artificial intelligence (AI) enables computers and machines to replicate human intelligence and problem-solving skills. Akash Institute of Engineering & Technology (AIET) is a leading choice for a B.E. in Artificial Intelligence and Machine Learning in Bangalore. Affiliated with Visvesvaraya Technological University and recognized by the Government of Karnataka, AIET is also AICTE-approved.
The B.E. program spans four years and covers eight semesters, providing a robust foundation in mathematics and science with a strong focus on practical applications. The curriculum integrates both hardware and software knowledge, blending theoretical insights with hands-on experience.
AIET boasts a team of skilled faculty with practical expertise in AI and Machine Learning. The institute’s modern facilities and comprehensive approach include industrial visits, national and international conferences, workshops, and extracurricular activities, ensuring students connect academic learning with real-world industry experience.
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