B.Tech. in Artificial Intelligence and Machine Learning
at Srinivasa Institute of Engineering and Technology, Andhra Pradesh - Other

3.6 /5

(2 Reviews)

Private Institute
Estd. 2009

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

Srinivasa Institute of Engineering and Technology offers B.Tech. in Artificial Intelligence and Machine Learning course for a duration of 4 years. The institution offers this course in Full Time mode at the UG level. With a total tuition fee of INR 1,82,800 this course is offered in the stream of Engineering. Admission is offered to a total of 240 students. Check other details of Srinivasa Institute of Engineering and Technology B.Tech. in Artificial Intelligence and Machine Learning in the below page.

Total Tuition Fees	₹1.83 Lakh Get Fees details
Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Official Website	Go to Website
Seat breakup	240
Type of University	Private

B.Tech. in Artificial Intelligence and Machine Learning

Table of content

Overview
Fees
Student Reviews
Placements
Entry Requirements
+ 2 more items

B.Tech. in Artificial Intelligence and Machine Learning
at
Srinivasa Institute of Engineering and Technology
Fees

Srinivasa Institute of Engineering and Technology B.Tech. in Artificial Intelligence and Machine Learning fee costs about INR 1,82,800. Candidates may have to pay additional charges at the time of admission. The fee consists of several elements such as Tuition fees, Registration Fees, One-Time Fees, Exam Fees, etc. Tabulated below are the Srinivasa Institute of Engineering and Technology fee details:

Fee components

Amount (4 years)

Tuition Fees

The mentioned Fee is as per Andhra Pradesh State Council of Higher Education, (AP - EAPCET). Tuition fee is calculated on the basis of 1st year. Actual amount may vary. The fees might include componen

₹ 1.83 Lakh

Total fee

₹ 1.83 Lakh

These are based on information available on various sources. Latest values may differ.

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

3.6/5

1 Verified Review Info Icon

3-4
1

Placements4

Infrastructure3

Faculty & Course3

Campus Life4

Value for Money4

Ramesh Putti

B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2026

Offered by Srinivasa Institute of Engineering and Technology

4.8

5Placements5Infrastructure5Faculty5Crowd & Campus Life4Value for Money

The entire college is good, but there is no mobile allotment for students.

Placements: Many students get placed with high packages of 8 LPA. The entire placement and campus recruitment training faculty consists of well-trained. They are helpful people who support everyone in gaining knowledge. Also, every faculty member has a friendly nature.

Infrastructure: There is no Wi-Fi, and currently, there is no facility for boys. The campus is good with beautiful natural surroundings, and the entire campus is very nice. Every student also has access to transport facilities.

Faculty: There is a lot of knowledge and many trained, experienced faculty members in this college. Everyone can easily understand the lessons, and faculty is helpful to all.

Reviewed on 24 Aug 2025Read More

Chuttugula renuka Verified Icon

B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2021

Offered by Srinivasa Institute of Engineering and Technology

3.6

4Placements3Infrastructure3Faculty4Crowd & Campus Life4Value for Money

Srinivasa Institute of Engineering College.

Placements: 35% of students were placed in my course. Highest package is 35 LPA, lowest is 2 LPA, and average package is 3 LPA, which are offered in our course. Top recruiting companies, such as Microsoft and Tesla, are offered at my college. Percentage of students getting an internship is 45% and the companies are Microsoft and Tesla. Top roles are hr manager and manager employee are offered in my course.

Infrastructure: Facilities and infrastructure are available 24/7, but the Wi-Fi signal is not good. Classrooms are very clean and hygienic. Quality in our hostel is not good. In mess and canteen, food will be good. Medical facilities and sports games are very nice and good.

Faculty: Teachers are very friendly to us and are very well-qualified and knowledgeable. Teaching quality is good in some subjects. Course curriculum is relevant, and it makes the students industry-ready. Semester exams in college are very difficult. Pass percentage is 45%.

Reviewed on 28 Aug 2025Read More

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B.Tech. in Artificial Intelligence and Machine Learning
at
Srinivasa Institute of Engineering and Technology
Placements

Particulars	Statistics (2023)
Median Salary	INR 3.60 Lakh

View placement details

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

General

Requirements for 12th grade Up Arrow Icon

45%
Candidates must have passed 10+2 with Mathematics, Physics, and Chemistry as options or related vocational courses in the fields of Engineering and Technology, or any other examination conducted by the Board of Intermediate Education, Andhra Pradesh/ Telangana, with the mentioned marks in aggregate (40% in case of candidates belonging to reserved category) or equivalent along with bridge course or courses conducted by it for candidates enrolled from the academic year 2000 onwards. Candidates who have appeared for the final year of 10+2 and who are awaiting for their results are also eligible to apply on provisonal basis.
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AP EAMCET

Other eligibility criteria Up Arrow Icon

Candidates who have passed Diploma in Engineering or any other examination recognized as equivalent there to, from a recognized Institute/ University, Andhra Pradesh/ Telangana are also eligible. Candidates who have appeared in Diploma in Engineering and who are awaiting their results can also apply on provisional basis. Candidates should belong to the state of Andhra Pradesh/ Telangana. Candidate should have completed 16 years of age as of 31st December of the year of admission (2024). There is no upper age limit.