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B.Tech. in Artificial Intelligence and Machine Learning 

  • Private Institute
  • Estd. 2013

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Overview

Total Tuition Fees

20.00 Lakh
Get Fees details

Duration

Course Level

UG Degree

Mode of Course

Full Time

Average package

6.12 Lakh

Application Link

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Seat breakup

180

Type of University

Private
B.Tech. in Artificial Intelligence and Machine Learning
Table of contents
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Fees

Fee componentsAmount (4 years)
20.00 Lakh
20.00 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.
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  • Eligibility & Cut Offs

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Curriculum

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Students Ratings & Reviews

3.8/5
Verified Icon1 Verified ReviewInfo Icon
Placement Review IconPlacements4
Infrastructure Review IconInfrastructure4
Faculty Review IconFaculty & Course4
Crowd Review IconCampus Life3
Money Review IconValue for Money4
A
Anish Suneja Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2026
3.8
4Placements4Infrastructure4Faculty3Crowd & Campus Life4Value for Money
I am satisfied with this college because it has good placements and good infrastructure.
Placements: Our placement cell is very good. They always try to provide better placements at the best companies. About 40% of students have been placed in campus interviews till now. The highest salary package offered is 8 LPA, the lowest is 3.5 LPA, and the average is 4 LPA to 5 LPA. Top recruiting companies are TCS, Infosys, Capgemini, IBM, Accenture, Ugam Solutions, Hexaware, and many more. Around 20% of students get internships in small companies. Roles offered in our course are data analyst and software engineer.
Infrastructure: We have Wi-Fi facilities with good internet speed. We have 6 labs, and each lab has Wi-Fi, printers, and scanners. There is a server room, which handles all machines present in the 6 labs. Our college also has a library. Our college has a projector facility for presentations, workshops, and seminars. Our college doesn't have a hostel. We have a great canteen.
Faculty: Our faculty members are caring and knowledgeable. They always try to provide us with the best knowledge. They are supportive. Teaching quality is also good. Our curriculum is quite better because we have the basic knowledge of industries, which is covered in our curriculum. Semester exams are also good. The pass percentage is 70% to 80%.
Reviewed on 10 Oct 2022Read More
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COMEDK UGET
JEE Main
KCET
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Placements

ParticularsStatistics (2024)
Average SalaryINR 6.12 Lakh
Highest SalaryINR 52.00 Lakh
Median SalaryINR 7.50 Lakh
% Batch placed80
Highest International SalaryINR 22.00 Lakh
Lock IconTop Recruiters for Faculty of Engineering and Technology
Amazon
Bata India
E&Y
Infosys
Make My Trip
Mphasis
TATA Consultancy Services
Tata Steel
Torry Harris
Wipro
View placement details

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • 45%

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Admission Process

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Admissions Open! Apply Now

    Important Dates

    ALL
    COURSE
    KCET
    JEE MAIN
    COMEDK UGET
    Jan 1 - 8, 2026
    JEE Main 2026 City Intimation Slip Session 1Tentative
    Jan 7 - 8, 2026
    JEE Main 2026 photo verification certificate upload last date (for non-aadhaar candidates)
    Jan 17, 2026
    KCET Application Form 2026

    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Faculty of Engineering and Technology 
    Cutoffs

    Filter Icon3
    GenderDown Arrow Icon
    QuotaDown Arrow Icon
    CategoryDown Arrow Icon
    KCET round-wise cutoff Rank: (General-All India)
    Round202020242025
    130989-13119
    2-1949416827
    3--18244
    KCET round-wise cutoff Rank: (General-Home State)
    Round20242025
    11990215970
    22228519544
    3-22570
    KCET round-wise cutoff Rank: (OBC-All India)
    Round20202024
    130989-
    2-19494
    KCET round-wise cutoff Rank: (OBC-Home State)
    Round2024
    1-
    222285
    COMEDK UGET round-wise cutoff Rank: (General-All India)
    Round2021
    17286
    2-
    315272
    COMEDK UGET round-wise cutoff Rank: (General-Home State)
    Round2021
    129280
    229280
    COMEDK UGET round-wise cutoff Rank: (OBC-All India)
    Round2021
    17286
    2-
    315272
    COMEDK UGET round-wise cutoff Rank: (OBC-Home State)
    Round2021
    129280
    229280
    View Cutoff Details

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    A: 

    The BTech Mechanical Engineering syllabus is not the same across all colleges, as every college committee sets a particular coursework pattern at the start of every academic year to be followed for the respective batch. The syllabus includes some core subjects, interesting electives, and lab work that gives detailed knowledge to the students about the workings of the field.

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    Dear candidate, the subject of Machine Design basically teaches you about the designing fundamentals of various types of machinery across industries. You get to learn about the different ways in which elements can be combined to form an equipment or machine system and get the work done in an effective manner.

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    A: 

    Well, yes. The private sector BTech jobs in India offer a higher earning potential than the government sector jobs, including promotions, yearly bonuses, performance rewards, etc., along with a plethora of career options across different sectors. Having said that, there is less scope for job stability in the private sector due to market downturns.

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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Faculty of Engineering and Technology 

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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Faculty of Engineering and Technology 
    Contact Information

    Address

    #470-P, Peenya Industrial Area, Peenya-IV Phase
    Bangalore ( Karnataka)

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