
Diploma in Artificial Intelligence and Machine Learning
- Private Institute
- Estd. 2010
Diploma in Artificial Intelligence and Machine Learning at DRIEMS Overview
Dilkap Research Institute of Engineering and Management Studies provides a Diploma in Artificial Intelligence and Machine Learning course for 3 years at the After 10th level. The total tuition fee for the entire duration of the course is INR 1,07,824. The Dilkap Research Institute of Engineering and Management Studies offers admission to 60 students. Check other courses under Dilkap Research Institute of Engineering and Management Studies After 10th Diploma.
Total Tuition Fees | ₹1.08 Lakh Get Fees details |
Duration | 3 years |
Course Level | After 10th Diploma |
Mode of Course | Full Time |
Seat breakup | 60 |
Type of University | Private |
Diploma in Artificial Intelligence and Machine Learning at DRIEMS Fees
Dilkap Research Institute of Engineering and Management Studies Diploma in Artificial Intelligence and Machine Learning fee structure is inclusive of various components, including tuition fees, hostel fees, security deposit, etc. Some components, such as the security deposit, are payable only once. Components like tuition fee are payable in instalments frequency decided by the college. The total tuition fee for the Diploma in Artificial Intelligence and Machine Learning is INR 1,07,824. Other components included in the Dilkap Research Institute of Engineering and Management Studies Diploma in Artificial Intelligence and Machine Learning fee are presented in the table below:
| Fee components | Amount (3 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 1.08 Lakh |
Meal Plan is included in mentioned fee. | ₹ 2.28 Lakh |
₹ 3.36 Lakh |
Diploma in Artificial Intelligence and Machine Learning at DRIEMS Students Ratings & Reviews
- 4-51
Diploma in Artificial Intelligence and Machine Learning at DRIEMS Frequently Asked Questions
| Courses | Eligibility |
|---|---|
| B.E. / B.Tech | Candidate must have completed Diploma Course in Engineering and Technology in relevant stream with minimum 45% marks (40% marks in case of candidates of Backward class categories and Persons with Disability belonging to Maharashtra State only) from an All India Council for Technical Education or Central or State Government approved Institution or its equivalent. OR Candidate must have completed B.Sc. from UGC/ Association of Indian Universities recognized University with at least 45% marks (40% in case of candidates of Backward class categories and Persons with Disability belonging to Maharashtra State only) and passed 10+2 with Mathematics as a subject. |
| After 10th Diploma | Candidate passed 10th class/SSC examination or its equivalent, with at least 35% aggregate marks from any recognized institute/board are eligible to apply. |
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Diploma in Artificial Intelligence and Machine Learning at DRIEMS Entry Requirements
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Diploma in Artificial Intelligence and Machine Learning at DRIEMS Students also asked
The BTech syllabus is not similar in all the Indian colleges. Talking about the first year of BTech, the general subjects taught are almost similar that include Physics, Mathematics, Chemistry and other engineering fundamentals to provide a basic foundation for the BTech course ahead. Further, the BTech syllabus will differ on the basis of the specialisation you have chosen and the college, different colleges follow their own set of guidelines regarding the course curriculum that includes both core and elective subjects along with practical lab work.
BTech courses do offer a variety of electives for you to opt for in the 5th and 6th semesters, where you get the chance to pick a specific subject that interests you more and is easy-going for you.
You can choose to pick a subject according to the specialised field within your broad BTech specialization, which you would like to enter into in the future, where you see yourself as a happy and well-established engineering professional. For example, in BTech Electrical Engineering, there are a variety of electives like Power Systems and Electronics, Signal Processing, Communication Systems Theory, VLSI Technology, etc.
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