Year | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Tution fees | ₹116600 | ₹116600 | ₹116600 | ₹116600 |
Other fees | ₹32000 | ₹20000 | ₹20000 | ₹20000 |
Total Year Wise fees | ₹1.49 Lakhs | ₹1.37 Lakhs | ₹1.37 Lakhs | ₹1.37 Lakhs |
Events | Dates |
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JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
IPU CET Registration Timeline | Tentative Feb 01, 2025 - Apr 15, 2025 |
IPU CET Admit Card Release Date | Tentative Apr 23, 2025 |
IPU-CET results | Tentative May 09, 2025 |
IPU CET Exam Dates 2025 | Tentative Apr 27, 2025 - May 14, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
IPU-CET counselling | Tentative May 28, 2025 - Jun 20, 2025 |
Events | Dates |
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Application Timeline (B.Tech) | Feb 01, 2024 - Apr 15, 2024 |
Registration & Payment of Counselling Participation Fees [B.Tech] | May 22, 2024 - Jun 05, 2024 |
Verification of Documents for Reserved Category Candidates [B.Tech] | May 24, 2024 - Jun 06, 2024 |
Events | Dates |
---|---|
JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
Events | Dates |
---|---|
IPU CET Registration Timeline | Tentative Feb 01, 2025 - Apr 15, 2025 |
IPU CET Admit Card Release Date | Tentative Apr 23, 2025 |
IPU-CET results | Tentative May 09, 2025 |
IPU CET Exam Dates 2025 | Tentative Apr 27, 2025 - May 14, 2025 |
IPU-CET counselling | Tentative May 28, 2025 - Jun 20, 2025 |
The 2024 IPU CET round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at ADGITM was 247302 for the OPNOHS category.
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The 2024 JEE Main round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at ADGITM was 179182 for the General category.
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Pass in 12th Class of 10+2 pattern with a minimum aggregate of 55% marks in Physics, Chemistry, and Mathematics Candidate must additionally have passed English as a subject of study (core/ elective/ functional) in the qualifying examination.
ADGITM | HMRITM | |
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Reviews Rating | ||
Cost To Study | Total Fees ₹1018600 (4 Years ) | Total Fees ₹558400 (4 Years ) |
Ranking | - | - |
Highest Salary | ₹4415000 | ₹1200000 |
Average Salary | - | ₹400000 |
General Course Details | Duration - 4 Years Course Offered - Full Time Total Seats - 60 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
Eligibility | 10+2 | 10+2 with 55% + JEE Main |
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The curriculum is also quite updated and impressive because it make you industry ready. The curriculum is more relevant for new era courses like AIML and AIDS whcih is in high demand fields in various Indtries currenty. The exam occurs 3 times in a semester i.e. 2 sessional exam and 1 end sem exam. Till 2023 the exam used to be of 75 marks and 25 marks were internal whereas from 2023 onwards the final exam only consist 60 marks for theory exam and remaining 40 marks are internal and even the difficulty is exam is moderate, which increases the chances of good CGPA as most of the students got good internal marks.
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CURRICULUM IS LITTLE BIT TOUGH AS IT CONTAINS 4 UNIT AND ITS LENGTHY AS WELL BUT IT DOES NOT SUPPORT FOR REAL WORLD ASPECTS. AS 1ST YEAR IS SUBJECT LITERALLY OF 12TH CLASS JUST LITTLE BIT BROAD. BUT TEACHERS HAVE A VERY GOOD SKILSS OF TEACHING.
Likes
The course we are pursuing is artificial intelligence and machine learning ,so it is a very future proofing course so currently we are in the first year and we are learning the basic and engineering sciences and also the basic sciences we are not very familiar with the artificial intelligence and machine learning course so basically right now I can only tell you about the first year of our course that is the engineering course and should learn this course as it will be the base of our future engineering endeavours
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The course we are pursuing is called artificial intelligence in machine learning so it is a very future proofing course so currently we are in the first years we are learning the basic and engineering sciences and also the basic sciences we are not very familiar with the artificial intelligence and machine learning course so basically right now I can only tell you about the first year of our course that is the engineering course and should learn this course as it will be the base of our future engineering endeavours.
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Well our course is artificial intelligence and machine learning so its a good course considering futureproofing we are still in first year so we dont know much about the main course sylabus we are still learning the basic stuff of engineering right now but yes the curriculum is good for all the basic sciences and engineering stuff and the exams are also done periodically 2 mid sems or internals and one end sem or external if you prefer that way. Curriculum can be improved by adding the core subjects not from second but from first year also
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Teachers here are very qualified most of them have completed their masters as well as have done phd. And their teaching method is very efficient also the teachers are moderately strict which makes it a proper balance. Exams happen about 4 times excluding the internals and assignments and it is not very difficult to pass them you can easily pass the exams after studying for a week properly.
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I choose this because there is new technology and I know about artificial intelligence. I also become a professional programmer. The faculty is so good they make discipline in students as much as. No student goes outside during class. If they go outside the class then guards alert them to go type. In my class, there is a full seat filled that 60. And some management seats like 5 seats. Qualification of faculty is like my physics in charge is from IIT Delhi Mtech. all teachers are so supportive they helped us as much as. The end term is so nearly 3 months but the also syllabus was reduced from 6 units to 4 units.
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As we know artificial intelligence and machine learning have a great scope in the future, so I choose this for my better future I have good knowledge in this field and an interest in robotics things. The teaching method of all the teachers is good all the teachers are well-knowledgeable and qualified.
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I choose this course because AI is the future for the generation also I am interested in the field that how a robot works, and how voice assistant works. Faculty students ratio is 1:60 like for a class of 60 students 1 teacher is provided
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Faculties are top-notch. They are good, they are very helpful to the students, very sincere teachers. A very unique technique to provide information or knowledge to students they help students in every manner.
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