Kongu Engineering College
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B.Tech. in Artificial Intelligence and Machine Learning 

  • A NAAC accredited
  • Private Institute
  • Estd. 1983

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Overview

Total Tuition Fees

2.00 Lakh
Get Fees details

Duration

4 years

Course Level

UG Degree

Mode of Course

Full Time

Official Website

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Seat breakup

60

Type of University

Private,Autonomous
B.Tech. in Artificial Intelligence and Machine Learning
Table of content
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  • Overview
  • Fees
  • Rankings
  • Student Reviews
  • Placements
  • + 3 more items

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Fees

Fee componentsAmount (4 years)
2.00 Lakh
2.00 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.

Video stories

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  • Highlights
  • Placements
  • Eligibility & Cut Offs
  • Compare

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Rankings

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Students Ratings & Reviews

3.8/5
Verified Icon5 Verified ReviewsInfo Icon
Placement Review IconPlacements3.4
Infrastructure Review IconInfrastructure4
Faculty Review IconFaculty & Course3.6
Crowd Review IconCampus Life4
Money Review IconValue for Money4.2
N
Naveen B Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
Offered by KEC - Kongu Engineering College
3.8
3Placements4Infrastructure4Faculty4Crowd & Campus Life4Value for Money
College review for easy access for those interested in joining the college.
Placements: The batch of us is the artificial intelligence and machine learning course is the best one to us be. To study this course because the course seems to bright in the future among us 50 percent of the students get placement and some us not willing in the placement. The highest salary package is 10 Lacs and the lowest is 3 Lacs top recruits are azentio students internship is 25percent the top roles here are ml engineer, data analyst, software developed, python developed.
Infrastructure: The infrastructure in our college is very good and nice. When it comes to Wi-Fi, we want to register our laptops in the central hub, and they provide us with the credentials, and we can access the Wi-Fi anytime in the college and anywhere on the college campus. Classrooms are very big with all electrical equipment, and the windows provide perfect ventilation. The boards and the projectors are available, and the library can be accessed from morning to evening.
Faculty: The teachers in our college are very helpful for us, and they teach us with full dedication and not just for the sake of it. They clearly explain the concepts and make us understand both theoretical and practical aspects. The course and the content are very relevant. Yes, the course mostly made us industry-ready. The semester exams are not that difficult if we have a basic idea about the course and the concepts. Otherwise, we can clear it easily, and the pass percentage is nearly 75-80%.
Other: The course I choose this because AI has the market high and n the near future and also it is a new technology and it has more way to go so I choose this course. No better improvement I suggest more on practical will help the students to be good and clever rather than focusing merely on the theory aspects. Events and fests are conducts in the college regular intervals and there is no break for the fun and gets here campus crowd 6000 nearly engineering campus surrounding nature and peaceful scholarship for the available students.
Reviewed on 9 Jan 2025Read More
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Review
G
Gowtham M Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
Offered by KEC - Kongu Engineering College
4.2
4Placements4Infrastructure4Faculty5Crowd & Campus Life4Value for Money
Good placement and nice infrastructure.
Placements: The percentage of students placed is above 90 percent, and the highest package in my class is 10 LPA, with an average package of 3 LPA. Top recruiting companies were Zoho, Cognizant, and Accenture. Nearly 70 percent got internships currently. The top role is software trainee.
Infrastructure: There are a lot of facilities available, and the infrastructure is wide, with free Wi-Fi in every classroom. The library is one of the best places in the college, with plenty of journals and papers. The hostel is pretty nice, and hostel food is also pretty good, but sometimes it's not good, based on the mess. They support plenty of sports activities.
Faculty: The faculty are well-trained, polite, professional, and well-qualified. Many of them collaborate with students and think outside of the box. The curriculum is pretty good, and we can also make use of the library for additional learning. The semester exams will be easy if you are well-prepared for internal exams, and most of the students lag in internals, so they can't pass the semester exam. The pass percentage is above 80 percent.
Other: I chose Artificial Intelligence and Machine Learning because it's a well-booming technology, and I was excited to learn new things, and it really fulfilled it. The department offers a variety of fests, symposia, and also extracurricular activities.
Reviewed on 7 Jan 2025Read More
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A
Ashok Kumar R Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
Offered by KEC - Kongu Engineering College
3.2
3Placements4Infrastructure2Faculty3Crowd & Campus Life4Value for Money
Trusted Review of Kongu Engineering College, Erode
Placements: In my course, 70% of the students get placed in reputed companies, while the rest are attending placements in my batch. The highest package is from Applied Materials company, which provides 2 offers with a 12 LPA package, and the lowest is from CTS, which offered 4 LPA, with many offers having an average package of 6 LPA. For my course, there is no top recruiting company as of now for AIML. There are 2 people who got internships in Niyata Infotech for machine learning roles. They worked on ML projects and data visualization concepts. Machine Learning is the top role for our course.
Infrastructure: There are lab facilities with high-configuration systems, and they provide free Wi-Fi inside the campus and hostels. The library is one of the most useful resources on our campus, and we can make use of it within a limited period. The quality of food is very poor in the hostels. Lunch is pretty good, but breakfast and dinner are not. The canteen and mess are good. Our campus also provides medical first aid and ambulance facilities. They also offer sports like kabaddi and volleyball.
Faculty: The facilities are good, and the teaching is excellent. Some faculty members are friendly and teach the concepts by comparing real-time problems. This course curriculum included both computer science concepts and machine learning concepts, so the students are completely trained in both domains and prepared for the industry. The semester exams are conducted in April and December, and the pass percentage is 50%.
Other: The course is booming at the time of counseling, and this AI technology is booming all around the world. In this course curriculum, they should improve real-world AI problems and technology. There are two festivals, Enthusiasm and Swaram, that are conducted, and celebrities like Yuvan Shankar Raja are invited. It is a fun-filled event with dance. The scholarship amount is 10,000 for hostelers and 8,000 for non-hostelers per year.
Reviewed on 8 Jan 2025Read More
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S
Saravana P Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2027
Offered by KEC - Kongu Engineering College
4.4
4Placements5Infrastructure4Faculty4Crowd & Campus Life5Value for Money
A Mesmerizing KEC experience.
Placements: In my course, about 85% of students were placed. The highest package offered was 12 LPA, the lowest around 3 LPA, with an average of 6 LPA. Top recruiting companies include TCS, Infosys, Zoho, and Wipro. Around 70% of students secured internships with companies like Cognizant and Accenture. Top roles include software developer, data analyst, and systems engineer.
Infrastructure: The infrastructure for my course includes Wi-Fi, well-equipped labs, modern classrooms with projectors, and a comprehensive library with a wide range of resources. Hostel facilities are decent, with clean rooms, 24/7 security, and common areas. The food in the mess and canteen is good, offering variety. Sports facilities are excellent, with various indoor and outdoor games. Medical facilities are available on campus.
Faculty: The faculty in my course are highly qualified, helpful, and knowledgeable, providing clear explanations and guidance. The teaching quality is good, with interactive sessions. The curriculum is relevant, aligning well with industry needs, ensuring students are job-ready. Semester exams are moderately difficult, testing both theoretical and practical knowledge. The pass percentage is high, generally above 90%.
Other: I chose this course for its focus on technology and AI. It offers a great curriculum, events, campus life, and scholarships.
Reviewed on 19 Dec 2024Read More
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S
SUGANTH V Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
Offered by KEC - Kongu Engineering College
3.6
3Placements3Infrastructure4Faculty4Crowd & Campus Life4Value for Money
Moderate level with value for money.
Placements: Our batch, almost many of them, got placed in good companies with good annual packages. The placements are efficient, and companies offer many specifications and roles. Then, they provide role-based interviews for the selection process.
Infrastructure: Infrastructure is average, and classrooms and hostels need to be improved. Wi-Fi and other expectations of infrastructure are average. Food and rooms are very average to survive in the college. The food court inside the campus offers hygienic food, but it’s very average.
Faculty: Faculty are good, and the teaching style and clearing doubts are excellent. The course curriculum is relevant to the industry field. Only experienced staff are asked to take classes. The semester exams are at a moderate level, and the questions need not be difficult.
Reviewed on 16 Jan 2025Read More
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
 
Frequently Asked Questions

Q:   Can I join B.E/ BTech at Kongu Engineering College without TNEA Counselling?
ShikshaGPT says
A: 

No, without TNEA counselling candidates cannot apply for the BTech/B.E. programme at Kongu Engineering College. To be eligible for admission to BTech/B.E., candidates must apply and appear in the counselling round.

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Q:   What is the TNEA Counselling application fee for Kongu Engineering College?
ShikshaGPT says
A: 

To be eligible for admission to BTech/B.E., candidates are required to apply for TNEA by visiting their official website. The TNEA 2025 application form can be submitted only after the application fee is submitted. The application fee for the TNEA for admission to BTech/B.E. courses is mentioned in the table below.

Category

Application Fee

General Category

INR 500

SC/ST/SCA Category Candidates belonging to Tamil Nadu

INR 250

Special Reservation Category (for each category)

INR 100 for each reservation selected

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Q:   How are the placements at Kongu Engineering College?
ShikshaGPT says
A: 

The 2025 placement drive is still in progress. So far, 73 companies visited the campus. A total of 447 offers have been rolled to the 441 students placed. The complete placement report for 2024 has been released. The key highlights related to Kongu Engineering College placements 2024 are tabulated below:

ParticularsPlacement Statistics (2024)
Total offers1,612
Students placed1,235
Companies visited310
Popular recruitersMaersk, Mallow Technologies, Tata Elxsi
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Q:   What is the cutoff 2024 for admission to Kongu Engineering College?
ShikshaGPT says
A: 

Kongu Engineering College BTech cutoff 2024 has been concluded via TNEA counselling. As per the TNEA 2024 last-round cutoff, the closing ranks varied between 15622 and 52833 for the General AI category students. The cutoff was relased for BE/ BTech across multiple specialisations of which B.E in Computer Science and Engineering was the most competitive one. The least in-demand specialisation was B.Tech. in Food Technology. Candidates can refer to the table bleow to view the Kongu Engineering College branch-wise cutoff 2024 for TNEA: 

CourseTNEA Last Round Cutoff 2024
B.E. in Electronics and Communication Engineering20797
B.E. in Electrical and Electronics Engineering30520
B.E. in Computer Science and Engineering15622
B.Tech. in Information Technology24790
B.E. in Mechanical Engineering48267
B.Tech. in Chemical Engineering48294
B.E. in Civil Engineering47499
B.E. in Electronics and Instrumentation Engineering38322
B.Tech. in Food Technology52833
B.E. in Mechatronics Engineering50532
B.Tech. in Artificial Intelligence and Data Science21951
B.Tech. in Artificial Intelligence and Machine Learning27436
B.E. in Computer Science and Design29211
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Q:   Are admissions to Kongu Engineering College open?
ShikshaGPT says
A: 

Yes, admission is open to Kongu Engineering College for all UG, PG and PhD courses through TNEA, GATE, CEETA and TANCET, respectively. Further, for BSc and MSc, candidates are selected based on the last qualifying exam score. Interested candidates can visit the official websites of TNEA Counselling and TANCET to apply for the BTech and PG courses, respectively.

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Download exam sample paper

ISC
Tamilnadu 12th
CBSE 12th

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Placements

ParticularsStatistics (2023)
Median SalaryINR 4.50 Lakh
Lock IconTop Recruiters for Kongu Engineering College
Accenture
Bosch Ltd
Britannia
Cognizant
ELGi Equipments
HATSUN
huawei
Hyundai
ICICI Securities
Infosys
Infoview
ITC
MU Sigma
Newgen
Odessa
Polar Industries
Rane
Sanmar
Soliton Technologies
TCS
Tech Mahindra
TVS Motors
Vedanta
Vernalis
Wipro
Zoho
View placement details

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Entry Requirements

General
SC
ST
Requirements for 12th gradeUp Arrow Icon
  • 45%
Other eligibility criteriaUp Arrow Icon

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Kongu Engineering College 
Admission Process

    Important Dates

    ALL
    ISC
    TAMILNADU 12TH
    CBSE 12TH
    Nov 3 - 26, 2025
    CBSE 12th-Release of CBSE Class 12 exam Date Sheet 2026Tentative
    Jan 1 - Feb 14, 2026
    Conduct of CBSE 12th Practical exams 2026Tentative
    Feb 17 - Mar 5, 2026
    Conduct of CBSE 12th Exams 2026Tentative

    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 
    Cutoffs

    Filter Icon3
    GenderDown Arrow Icon
    QuotaDown Arrow Icon
    CategoryDown Arrow Icon
    TNEA round-wise cutoff Rank: (General-All India)
    Round202320242025
    1205702627825578
    22470527436-
    TNEA round-wise cutoff Rank: (OBC-All India)
    Round202320242025
    1--33768
    22740428633-
    View Cutoff Details

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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 
     
    Students also asked

    Q:   Who are the top recruiters at Kongu Engineering College?
    ShikshaGPT says
    A: 

    During the 2024 KEC Erode placements, the college witnessed the participation of companies from diverse sectors. Some of the renowned companies were Presidio, Honeywell, JSW, Federal Bank, Brakes India, ITC - Printing & Packaging, Yokogawa, Avasoft, Saint-Gobain, and many others.

    AskShikshaGPT on App
    Q:   How is the placement facility at KEC - Kongu Engineering College?
    ShikshaGPT says
    A: 
    As per Shiksha verified reviews, KEC - Kongu Engineering College has an impressive review rating of 4.1 by 206 students.
    AskShikshaGPT on App
    Q:   What is the score required in TNEA for admission to ECE branch at Kongu Engineering College?
    ShikshaGPT says
    A: 

    Kongu Engineering College BE/ BTech admission is based on a valid TNEA scores, followed by a counselling process. TNEA Round 1 cutoff 2024 has been released, and the closing ranks ranged between 11160 and 26401 for the students belonging to the General AI category. The Round 1 cutoff for ECE stood at 20797. So, considering the Round 1 closing rank, if a candidates seeking admission to ECE at the Kongu Engineering College in Round 1 must secure a rank up to 25947. This is for students who belong to the General AI category, as the cutoff varies for different courses and categories.  

    Candidates can refer to the table below to check out the category-wise TNEA round 1 cutoff 2024 for the  Electronics and Communication Engineering: 

    CategoryTNEA Round 1 Closing Rank 2024
    General20797
    OBC25921
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    Q:   Who are the top recruiters from KEC - Kongu Engineering College when it comes to placements?
    ShikshaGPT says
    A: 
    KEC - Kongu Engineering College has placed its selected students in known and reputed companies such as Amazon Transpotaion, Deloitte And Touche Assurancr Enterprise Risk And Services India Pvt Ltd, Linpack Technologies Pvt Ltd, Gndu Rc Sultanpur Lodhi, Pulsus Healthtech Llp, Kraft Surgicals Pvt Ltd, Samsung R And D Institute India Noida, Kalpesh Synthetics, Terminal Contacts, Eicher, Kamala Automobilescuttack, Eprofess, Sos Engineering Works, Mapsko Auto India, India Running, Aastik Pvt Ltd Patna, Vpmehta And Company, Bonhomia, Hipe, Sagunamata Construction Phaltan, Kalaiyrasan K, Technorise Industries, Elance Learning Provider, Vispute Saraf, Kapoor & Co., Plancess Edusolutions.
    AskShikshaGPT on App
    Q:   Is there an entrance for admission to Kongu Engineering College?
    ShikshaGPT says
    A: 

    Yes, Kongu Engineering College ccepts various entrance exams for admission to UG and PG courses. The college offers two UG i.e., BTech/B.E. and BSc and four PG courses i.e., M.E., MCA, MBA and MSc. For admission to BSc and MSc, the college offers merit-based admission. Further, the college accepts TNEA counselling for admission to BTech/B.E. and TANCET, GATE, and CEETA for admission to MBA, MCA and M.E./MTech, respectively. After filling out the admission criteria set by the college, candidates are required to apply to the official website of their respective entrance exam and fill out the admission form.

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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 

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    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Kongu Engineering College 
    Contact Information

    Address

    Perundurai, Railway Station Road
    Erode ( Tamil Nadu)

    Phone
    9443020583

    (For general query)

    9965277765

    (For admission query)

    Email
    placement@kongu.edu

    (For general query)

    principal@kongu.ac.in

    (For admission query)

    Go to College Website ->