

B.Tech. in Artificial Intelligence and Machine Learning
- Private Institute
- Estd. 2010
B.Tech. in Artificial Intelligence and Machine Learning at Vaishnavi Institutes of Technology and Science Overview
Vaishnavi Institutes of Technology and Science offers B.Tech. in Artificial Intelligence and Machine Learning at UG level. The duration of the course is 4 years. Moreover, the total tuition fee for B.Tech. in Artificial Intelligence and Machine Learning admission at Vaishnavi Institutes of Technology and Science is INR 91,200, which is valid for the entire duration of the course. Students can also check the other Vaishnavi Institutes of Technology and Science B.E. / B.Tech courses.
Total Tuition Fees | ₹91,200 Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website |
Seat breakup | 60 |
Type of University | Private |
B.Tech. in Artificial Intelligence and Machine Learning at Vaishnavi Institutes of Technology and Science Fees
Vaishnavi Institutes of Technology and Science has a well-defined fee structure, which includes various components. The major part of the Vaishnavi Institutes of Technology and Science B.Tech. in Artificial Intelligence and Machine Learning fee comprises tuition fee. Other than this, other fee components, such as exam fees, on-time admission fees, registration fees, etc. are also included in the total fee structure. In addition, the total fee structure of Vaishnavi Institutes of Technology and Science B.Tech. in Artificial Intelligence and Machine Learning has refundable and non-refundable components as well.
Fee components | Amount (4 years) |
---|---|
The fees might include components other than tuition fees.
Mentioned fee is as per Admission and Fee Regulatory Committee (AFRC), MP. | ₹ 91,200 |
₹ 91,200 |
B.Tech. in Artificial Intelligence and Machine Learning at Vaishnavi Institutes of Technology and Science Frequently Asked Questions

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.
Helpful Link: Mechanical Engineering Subjects in Detail

The BTech Mechanical Engineering syllabus gives importance to both theory-based knowledge and practical training. You need to study the core subjects that are compulsory as they provide a strong base for the field, opt for interesting electives to explore new concepts, and attend laboratory classes and intriguing workshops to get hands-on training regarding the mechanical design aspects. So, you will get a mix of both aspects with a strong inclination towards practical application to prepare you for a fulfilling career journey ahead.
Useful Link for Reference: Mechanical Engineering Subjects



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B.Tech. in Artificial Intelligence and Machine Learning at Vaishnavi Institutes of Technology and Science Placements
B.Tech. in Artificial Intelligence and Machine Learning at Vaishnavi Institutes of Technology and Science Entry Requirements
B.Tech. in Artificial Intelligence and Machine Learning at Vaishnavi Institutes of Technology and Science Admission Process
Important Dates
B.Tech. in Artificial Intelligence and Machine Learning at Vaishnavi Institutes of Technology and Science Cutoffs
MP BE round-wise cutoff Rank: (General-All India)
Round | 2023 |
---|---|
1 | 633237 |
MP BE round-wise cutoff Rank: (General-Home State)
Round | 2024 |
---|---|
1 | - |
2 | 514407 |
JEE Main round-wise cutoff Rank: (General-All India)
Round | 2023 |
---|---|
1 | 633237 |
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Courses | Eligibility |
---|---|
B.E. / B.Tech | Candidate must have completed 10+2 or equivalent with Physics, Maths & Chemistry/ Biotech./ Biology/ Tech. Voc. subject/ Comp. Sc./ IT/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business studies as optional subjects with the above-mentioned aggregate percentage (40% for SC/ST/OBC candidates (except Creamy layer) candidates belonging to Madhya Pradesh) in subjects taken together. Candidates passed 10+2 with grading system, must have grades equi. to mentioned aggregate %. Candidates who had passed 10+2 with grace marks in any subject can also apply provided they have scored mentioned aggregate % excluding grace marks. Result awaited student are also eligible on provisional basis. OR Candidate who have passed Diploma in Engg. & Tech. examination with at least 45% masks (40% marks in case of candidates belonging to SC/ST/OBC (excluding creamy layer) category of Madhya Pradesh) Subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted. |
M.E./M.Tech | Candidate must have completed B.E./B.Tech. in relevant branch of Engg./Technology with above mentioned percentage. The mentioned SC/ST percentage is for Madhya Pradesh residents. Candidate belonging to OBC (excluding creamy layer) categories of Madhya Pradesh should have at least 45%. Bachelors degree should be of minimum of four years duration and have been obtained from any AICTE approved institution or Indian University/ Institute or from a foreign University recognised by AIU or any Institutes of national importance (i.e. IITs/ IISc/NITs etc.) duly recognised by the MHRD, as equivalent thereto. Candidates in the Final year of above degree examinations can also apply on provisional basis. Rounding of marks or percentage is not permissible. |


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