Content Curator | Updated on - Mar 23, 2026

The Bachelor of Technology in Artificial Intelligence & Machine Learning at GRD Institute of Management and Technology (GRD IMT), Dehradun is a 4-year full-time undergraduate program designed to provide students with advanced knowledge in artificial intelligence, machine learning algorithms, neural networks, and deep learning technologies. The program offers 60 seats and emphasizes both theoretical foundations and practical applications of AI/ML in solving real-world problems. With a total fee of INR 6.39 lakhs, the course is recognized by JEE Main as the primary entrance examination. The program is highly popular among students seeking careers in emerging technologies, as AI and ML are among the most in-demand fields in the technology industry today.

Admissions for B.Tech Artificial Intelligence & Machine Learning at GRD IMT are currently ongoing for the 2026 academic year through the Uttarakhand Technical University (UTU) counselling process. The JEE Main 2026 examination is scheduled from April 2-9, 2026, with results expected by April 20, 2026. Phase 1 of UTU counselling will commence from June 26, 2026, with seat allotment on July 3, 2026, and reporting at the institute from July 4-8, 2026. Phase 2 counselling will follow from July 9-11, 2026, with seat allotment on July 15, 2026. Students must register and deposit fees during the designated counselling phases to secure their seats.

KEY POINTS

Specialized curriculum covering machine learning, deep learning, natural language processing, and computer vision
State-of-the-art computing labs with GPU-enabled systems for training complex AI models
Industry partnerships with leading AI/ML companies providing real-world project opportunities
Research-oriented approach with emphasis on emerging technologies and latest frameworks
Dedicated placement support with companies actively recruiting AI/ML specialists

Official Link:

Go To Website

Highlights
Fees
Admission
Scholarships
Placements
FAQs

GRD IMT Latest Updates and News

02 Apr, 2026 JEE Main 2026 Session 2 Begins, Exam from April 2 to 8. Admit Cards available for download @jeemain.nta.nic.in. Check LIVE Updates here.

NTA has approved rescheduling of the April 5 exam; revised dates to be announced soon. Read news.

GRD IMT B.Tech AI & ML Fees

The B.Tech Artificial Intelligence & Machine Learning program at GRD IMT involves a total tuition fee of INR 6.2 lakhs spread across four years, with additional academic fees bringing the total academic cost to INR 6.39 lakhs. The first-year fees are INR 1,61,200, which includes tuition fees, admission fees, and miscellaneous charges. Subsequent years have reduced fees of INR 1,30,000 each. Hostel accommodation is optional and costs INR 4 lakhs for the entire 4-year period (INR 1 lakh per year), making the total cost including hostel INR 10.39 lakhs. All fees are refundable as per college policy.

Fee Breakdown

Year	Fees
Year 1: Tuition Fees 81,200 + Admission Fees 7,500 + Miscellaneous Fees 7,500	96,200
Year 2	65,000
Year 3	65,000
Year 4	65,000
Total Tuition Fees	2,91,200
Hostel Fees (Optional, per year)	1,00,000
Total Fees (Without Hostel)	2,91,200
Total Fees (With Hostel)	6,91,200

All fees are refundable as per college policy.
Hostel fees are optional and charged separately.
Students from Uttarakhand state are eligible for 10% scholarship on tuition fees.
Merit-based scholarships ranging from 10% to 40% are available based on 12th standard performance.
Payment can be made on a semester-wise basis.
Late fee fine of INR 50-100 per day may be imposed for delayed payments.

GRD IMT B.Tech AI & ML Admission 2026

The admission process for B.Tech Artificial Intelligence & Machine Learning at GRD IMT is merit-based through JEE Main scores followed by Uttarakhand Technical University (UTU) counselling. The college reserves 40% of seats for Uttarakhand domicile students. The admission timeline is structured in multiple phases to accommodate all eligible candidates. Students must secure a valid JEE Main score and participate in the counselling process to secure admission. The minimum eligibility requirement is 10+2 with Physics, Chemistry, and Mathematics (PCM) as mandatory subjects.

Key Admission Dates

Event	Date
JEE Main 2026 Exam Date	April 2-9, 2026
JEE Main 2026 Result	April 20, 2026 (Tentative)
Phase 1 UTU Counselling Registration	June 26-27, 2026 (Tentative)
Phase 1 Choice Filling	June 26-28, 2026 (Tentative)
Phase 1 Seat Allotment	July 3, 2026 (Tentative)
Phase 1 Reporting	July 4-8, 2026 (Tentative)
Phase 2 UTU Counselling Registration	July 9-10, 2026 (Tentative)
Phase 2 Choice Filling	July 9-11, 2026 (Tentative)
Phase 2 Seat Allotment	July 15, 2026 (Tentative)
Phase 2 Reporting	July 16-20, 2026 (Tentative)

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

Candidates must have passed 10+2 examination with Physics, Chemistry, and Mathematics as compulsory subjects
Valid JEE Main 2026 score is mandatory for admission to the B.Tech program
Minimum aggregate score requirement as per Uttarakhand Technical University (UTU) norms and college cut-off

Admission Process

Register for JEE Main 2026 and appear for the examination
Obtain JEE Main score and participate in Uttarakhand Technical University (UTU) counselling
Fill choices during the designated choice-filling window in order of preference
Receive seat allotment based on merit, category, and choice preference
Report at the allotted institute with required documents and deposit admission fees
Complete registration and enroll in the program

GRD IMT B.Tech AI & ML Scholarships 2026

GRD IMT offers a comprehensive scholarship program to support deserving and meritorious students. Merit-based scholarships are awarded based on 12th standard performance, ranging from 10% to 40% tuition fee waiver. Domicile-based scholarships provide 10% tuition fee waiver to Uttarakhand state students and students from hill states including Himachal Pradesh, North-eastern states, Jammu and Kashmir, and Ladakh. Special category scholarships are available for girl students, defence personnel wards, alumni siblings, and Sikh community members. All scholarships are applicable to tuition fees only and are valid for the first year, with renewal subject to administrative policies.

Merit Scholarships (Based on 12th Performance)

Criteria	Scholarship
90% and above	40% tuition fee waiver
80-89.9%	30% tuition fee waiver
70-79.9%	20% tuition fee waiver
60-69.9%	10% tuition fee waiver

Domicile Scholarships

Category	Scholarship
Uttarakhand Domicile	10% tuition fee waiver (40% seats reserved)
Hill States Domicile	10% tuition fee waiver (North-eastern states, Himachal Pradesh, J&K, Ladakh, Nepal)

Special Category Scholarships

Category	Scholarship
Girl Student Scholarship	5% tuition fee waiver
Defence Personnel Wards	5% tuition fee waiver
GRD Alumni Scholarship	5% tuition fee waiver (siblings of former students)
GRD Internal Student Scholarship	5% tuition fee waiver (siblings of current students)
Sikh Community Scholarship	Up to 100% tuition fee waiver

Only one scholarship can be availed by a student.
All scholarships are applicable to tuition fees only and valid for the first year.
Renewal for subsequent years is subject to college administrative policies and academic performance.
Eligibility documents must be submitted at the time of admission.
Students can also apply for government scholarships and bank loans for technical courses.
The college provides an earn-while-learning scheme offering paid work opportunities to students.

GRD IMT B.Tech AI & ML Placement 2026

GRD IMT has established a strong placement record with approximately 80-90% of B.Tech students securing placements. The average salary package offered to graduates is in the range of INR 5-6 lakhs per annum, with the highest package reaching up to INR 16-18 lakhs. The college's placement cell conducts pre-placement training from the 4th semester onwards, including aptitude tests, coding sessions, and group discussions to prepare students for interviews. Major recruiters visiting the campus include TCS, Infosys, Wipro, Tech Mahindra, HCL, IBM, Amazon, and various other IT and analytics companies. The placement process typically begins from the 6th semester, with students required to maintain a minimum CGPA of 6.0 to be eligible for campus placements.

Placement Statistics

Metric	Value
Placement Percentage	80-90%
Average Package	INR 5-6 LPA
Highest Package	INR 16-18 LPA
Median Package	INR 3.5-5 LPA
Number of Offers	500+ annually
Top Recruiters	TCS, Infosys, Wipro, Tech Mahindra, HCL, IBM, Amazon, Genpact, Accenture, Panasonic India
Placement Eligibility	From 6th semester onwards with minimum 6.0 CGPA

Placement statistics are based on overall college data.
AI & ML specialization students typically receive premium packages due to high industry demand for AI/ML expertise.
Internship opportunities are available from 3rd semester onwards with stipends varying based on company and performance.
The college provides comprehensive placement support including resume building, interview preparation, and mock interviews.

GRD IMT B.Tech AI & ML FAQs

Ques. What career opportunities are available after B.Tech AI & ML?

Ans. B.Tech AI & ML graduates have excellent career prospects in various sectors including IT, finance, healthcare, autonomous vehicles, robotics, and e-commerce. Roles available include Machine Learning Engineer, AI Developer, Data Scientist, Computer Vision Engineer, NLP Specialist, and AI Research Scientist. The average starting salary ranges from INR 6-8 lakhs per annum, with significant growth potential as experience increases. Many graduates pursue higher studies like M.Tech or specialized AI/ML certifications to advance their careers further.

Ques. Is this course more difficult than regular B.Tech CSE?

Ans. B.Tech AI & ML is more specialized and advanced compared to general CSE. It requires strong mathematical foundations, particularly in linear algebra, calculus, and statistics. However, the curriculum is designed progressively, starting with fundamentals and gradually moving to advanced topics. Students with good problem-solving skills and interest in mathematics typically find the course manageable and rewarding.

Ques. What programming languages and tools are taught in this course?

Ans. The curriculum covers Python as the primary language, along with R for statistical computing. Students learn popular ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras. The course also includes SQL for database management, and exposure to cloud platforms like AWS and Google Cloud for deploying ML models. Practical experience with Jupyter Notebooks, Git, and other development tools is also provided.

Ques. Are there internship opportunities during the course?

Ans. Yes, internship opportunities are available from the 3rd semester onwards. The college has partnerships with leading AI/ML companies and startups. Students can work on real-world projects during internships, which typically last 2-3 months during summer breaks. Internship stipends vary based on the company and student performance, ranging from INR 10,000 to 50,000 per month.

Ques. What is the difference between AI & ML specialization and general CSE?

Ans. The AI & ML specialization focuses specifically on machine learning algorithms, deep learning, neural networks, natural language processing, and computer vision. General CSE covers broader topics including software development, databases, networking, and systems design. AI & ML students get deeper expertise in AI/ML technologies but may have less exposure to other areas of computer science.

Ques. How is the placement scenario for AI & ML students compared to other branches?

Ans. AI & ML is one of the most sought-after specializations with strong placement demand. Students from this branch typically receive competitive packages ranging from INR 6-10 lakhs per annum on average, with top performers securing packages up to INR 18-20 lakhs. Companies specifically recruiting for AI/ML roles include tech giants, startups, and research organizations. The placement rate for this specialization is generally higher than the college average due to high industry demand for AI/ML expertise.