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
Table of contents
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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

Go to Website External Link Icon

Seat breakup

60

Type of University

Private,Autonomous

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.

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

4/5
Verified Icon7 Verified ReviewsInfo Icon
Placement Review IconPlacements3.7
Infrastructure Review IconInfrastructure4
Faculty Review IconFaculty & Course4
Crowd Review IconCampus Life4.1
Money Review IconValue for Money4.1
K
KEERTHIDASAN M Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2029
5
5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money
Good atmosphere and infrastructure.
Placements: In my batch (2024-25) of the AIML course, around 92 percent of students got placed. The highest package is 45 LPA, the lowest is 5 LPA, and the average is 12 LPA. Top recruiters include Google, Amazon, Microsoft, and TCS. About 85 percent got internships at firms like Infosys, Deloitte, and Accenture. Major roles offered were Software Engineer, Data Analyst, and AI Developer.
Infrastructure: The department has smart classrooms, high-speed Wi-Fi, modern computer labs, and a well-equipped library. Hostels are clean and comfortable, with good food in the mess. Medical, sports, and gym facilities are excellent, and the hostel food is hygienic.
Faculty: Teachers are highly qualified, supportive, and use practical methods to teach. The curriculum is industry-oriented with updated technologies. Exams are moderately difficult but manageable. The overall pass percentage is around 95 percent, and the faculty members are good.
Other: I chose this course because AI is growing fast.
Reviewed on 30 Oct 2025Read More
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S
Sakthivel T Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2029
4.2
4Placements4Infrastructure5Faculty4Crowd & Campus Life4Value for Money
An excellent college with good faculty members, infrastructure, and placement.
Placements: In 2024, college placement trends showed an impressive outcome with many top institutions achieving placement rates above 90 percent for their graduation batches. The highest salary packages touched 13 LPA, and average offers range from 6 LPA to 6.5 LPA for in-demand courses. Major recruiters include Accenture, Amazon, Infosys, and TCS, reflecting strong industry participation. Internship opportunities also grew with up to 80 percent of students interning at leading firms such as Google and Microsoft. Top roles offered are software development, consulting, product management, and analytics.
Infrastructure: Modern colleges in 2025 offer comprehensive facilities for students, including campus-wide Wi-Fi, advanced computer labs, fully equipped classrooms with audio-visual aids, and libraries stocked with contemporary books and digital resources. Hostels are designed to be comfortable, featuring clean rooms, recreational space, night canteens, and amenities such as laundry services and a gymnasium. The quality of food in the mess and canteen is generally regarded as hygienic and varied, with regular menu updates, and students also benefit from on-site medical clinics, insured health coverage, and plentiful opportunities for sports and outdoor games throughout the year.
Faculty: Our college has 400 plus faculty members of which 300 plus faculty members are Ph.D. holders. Their quality of teaching is good. They clear the doubts when we need. The internal exam was pretty easy, and the pass percentage is about 70 and above. We expect the semester exam to be easy.
Reviewed on 30 Oct 2025Read More
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S
SUGANTH V Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
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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N
Naveen B Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
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
A
Ashok Kumar R Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2025
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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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?
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:   Who are the top recruiters at Kongu Engineering College?
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.

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Q:   How is the placement facility at KEC - Kongu Engineering College?
A: 
As per Shiksha verified reviews, KEC - Kongu Engineering College has an impressive review rating of 4.1 by 206 students.
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Q:   What is the eligibility to get admission in KEC - Kongu Engineering College for UG/PG courses?
A: 

KEC - Kongu Engineering College has below criteria for taking admissions to it's various courses:

CoursesEligibility
Ph.D.Candidate must have completed Master's degree in relevant field.
B.Sc.Candidate must have passed 10+2 or equivalent from a recognized board.
B.E. / B.TechCandidate must have passed VIII, IX, X, XI & XII Std. from schools situated in Tamil Nadu. Tamil Nadu native candidate who have passed any of the VIII, IX, X, XI & XII Std. or their equivalent exam from schools situated outside Tamil Nadu can also apply. They should produce Original Nativity Certificate. Children of Central Government Employees, irrespective of their nativity, provided their parents or guardians (only if both parents are not alive) have been serving in Tamil Nadu continuously for the past five years can be eligible to apply. Sons & daughters of All India service Tamil Nadu cadre officers are eligible to apply. A Self declaration from the parent in this regard is to be produced. Children of employees in the Public Sector or Government recognized institutions had been working in their organisations for the past five years are also eligible, irrespective of their domicile. Other State candidates who have studied VIII, IX, X, XI and XII Std. in Tamil Nadu are eligible to apply.
MBA/PGDMCandidate who have completed 10+2+AMIE or 10+3 years diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.
MCACandidate who have completed 10+2+AMIE or 10+3 years diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.
M.E./M.TechCandidate who have completed 10+2+AMIE or 10+3 years diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.
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Q:   How good are the placements at Kongu Engineering College?
A: 

The college has a decent placement record. The table below represents the Kongu Engineering College placement trends for a detailed analysis:

ParticularsPlacement Statistics (2022)Placement Statistics (2023)Placement Statistics (2024)
Total offers2,2491,9511,612
Students placed1,5121,4461,235
Companies visited301306310
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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
    Jan 1 - Feb 14, 2026
    Conduct of CBSE 12th Practical exams 2026Tentative
    Feb 12 - Apr 6, 2026
    Conduct of ISC Exams 2026
    Feb 17 - Mar 5, 2026
    Conduct of CBSE 12th Exams 2026

    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:   When are Kongu Engineering College application forms out?
    A: 

    Kongu Engineering College application forms 2025 are open for all courses. Candidates seeking admission to any courses can apply online through the official website of their respective entrance exam. Admission to all the courses is majorly entrance-based except BSc and MSc. Further, admission to BTech is based on TNEA counselling for this candidates need to apply on the official website of TNEA.

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    Q:   Are admissions to Kongu Engineering College open?
    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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    Q:   How many companies participated in Kongu Engineering College placements?
    A: 

    During KEC Erode placements 2024, 310 companies visited the college campus. Over the past three years (2022 to 2024), an improving trend was recorded in the number of recruiters, which is presented below:

    ParticularsPlacement Statistics (2022)Placement Statistics (2023)Placement Statistics (2024)
    Companies visited301306310
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    Q:   What is the cutoff 2024 for admission to Kongu Engineering College?
    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:   How can I get admission to Kongu Engineering College?
    A: 

    Kongu Engineering College admission to some UG and PG courses is based on TNEA Counselling and TANCET, CEETA, and GATE entrance exams, respectively. However, for BSc and MSc, the college offers admission based on the last qualifying exam. Further, to be eligible for admission, candidates also need to pass Class 12 for admission to UG courses and a graduation degree for admission to PG courses, respectively.

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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 ->