B.Tech Artificial Intelligence & Machine Learning

Fee - 90000/Sem

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About the Program

B. Tech in Artificial Learning and Machine Learning is an undergraduate programme in the cutting-edge technologies of AI & ML. The programme provides advanced inputs like deep learning, computer vision, expert systems and neural networks. This specialisation is designed to build expertise in intelligent machines, natural language processing and applications in cyber-physical systems.

This program covers AI methodologies based in different fields, including Algorithms for intelligent systems, natural language parsing, knowledge engineering and predictive analytics control in order to present a unified treatment of machine learning problems and solutions.

Advantage @DGU

  • Dehradun - A Safe, Beautiful & Cosmopolitan Education City.
  • Bundle of Industry Integrated Value Added Certificates.
  • Students from 23 States & 5 Countries on campus.
  • Multiple Placements for all.
  • More than 250+ Companies for Campus Placement.
  • Possibilities of International Exposure.
  • Separate in campus Girls & Boys hostels with Modern Sporting & Gym facilities.

USPs of the Program

Comprehensive Curriculum

The program covers a broad spectrum of AI methodologies, from intelligent system algorithms to natural language parsing, fostering expertise in diverse machine learning challenges and solutions across various domains.

Cutting-edge Technologies

Stay ahead in AI and ML with exposure to the latest advancements. The regularly updated curriculum provides immersion in cutting-edge technologies, ensuring relevance in the dynamic field of artificial intelligence.

Specialization in Emerging Fields

Develop expertise in deep learning and computer vision within the AI ML domain. Build skills to navigate complexities and apply advanced technologies effectively in real-world scenarios.

Integration of Cyber-Physical Systems

Explores the synergy of AI and cyber-physical systems and provides an understanding of how intelligent machines interact with the physical world. This unique integration equips to address challenges at the convergence of AI and the physical environment.

Unified Approach to Problem-solving

Emphasis on cohesive treatment of machine learning problems and solutions, to develop a holistic understanding of AI methodologies to innovate and devise solutions across diverse applications.

Latest Trends in Industry

The future scope for B. Tech graduates in Artificial Intelligence and Machine Learning is highly promising, with a rising demand for skilled professionals across diverse industries. Opportunities span roles such as machine learning engineer, AI researcher, and ethical AI specialist. The integration of AI with emerging technologies like edge computing and 5G further expands career prospects. Sectors such as healthcare, finance, and autonomous systems offer dynamic avenues, and entrepreneurship in AI startups is encouraged. Continuous learning and global collaboration are key, making this field an exciting and ever-evolving landscape for those shaping the future of technology.

Career Opportunities

  • Machine Learning Engineer
  • Data Scientist
  • AI Researcher
  • Computer Vision Engineer
  • Natural Language Processing Engineer
  • AI Product Manager
  • AI Solution Architect
  • AI Ethicist
  • Robotics Engineer
  • Blockchain AI Developer
  • Healthcare AI Specialist
  • Finance AI Analyst
  • Startups and Entrepreneurship

Course Structure

SEMESTER I SEMESTER II
Subject Credits Subject Credits
Mathematics I 3 Mathematics II 3
Physics 3 Basic Electronics Engineering 3
Programming in C Language 3 Data Structures with C 3
Overview of Big Data 2 Discrete Mathematical Structures 3
Urban Sociology 2 Introduction to Psychology 2
Web Technologies 3 Spoken Technical English 2
Written Technical English 3 Environmental Studies 2
PRACTICAL PRACTICAL
Physics Lab 1 Basic Electronics Engineering Lab 1
Programming in C Language Lab 1 Data Structures-Lab 1
TOTAL 21 TOTAL 20
SEMESTER III SEMESTER IV
Subject Credits Subject Credits
Design and Analysis of Algorithms 3 Data Communication and Computer Networks 3
Mathematics III 3 Operating Systems 3
Computer System Architecture 3 Introduction to Java and OOPS 2
Functional Programming in Python 3 Database Management Systems & Data Modelling 3
Introduction to IT and Cloud Infrastructure Landscape 3 Applied Statistical Analysis (for AI and ML) 2
Emerging Trends in AI & ML 1 2 Introduction to Internet of Things 3
Introduction to Machine Learning 3 Emerging Trends in AI & ML 2 2
Technical Report writing 2 Appreciating Art Fundamentals 2
Placement Related Communication 1
PRACTICAL PRACTICAL
Design and Analysis of Algorithms Lab 1 Data Communication and Computer Networks Lab 1
Web Technologies Lab 1 Introduction to Java and OOPS Labs 1
Database Management Systems & Data Modelling Lab 1
Operating Systems Lab 1
TOTAL 24 TOTAL 25
SEMESTER V SEMESTER VI
Subject Credits Subject Credits
Formal Languages & Automata Theory 3 Machine Learning Classification 2
Software Engineering & Product management 3 Natural Language Processing 3
Algorithms for Intelligent Systems 3 Sensor Technology & Instrumentation 3
Emerging Trends in AI & ML 3 1 Probabilistic Graphical Models 3
Reasoning and Problem Solving 3 Emerging Trends in AI & ML 4 1
Knowledge Engineering 3 Design Thinking 2
Effective Communication 2 Machine Learning Clustering 2
Being Corporate Ready 1
PRACTICAL PRACTICAL
Software Engineering & Project Management Lab 1 Minor Project 2 4
Minor Project 1 4 Machine Learning Lab 1
TOTAL 23 TOTAL 22
SEMESTER VII SEMESTER VIII
Subject Credits Subject Credits
Expert Systems 3 Current Applications of AI 4
Deep Neural Networks 4 Professional Ethics 2
Data mining & Predictive Modelling 3 Leadership in a Dynamic Business Environment 2
Computer Vision and Image Processing 4 Entrepreneurship and Product Development 2
Fuzzy Logic and Neural Networks 4
Placement Boot Camp 1
PRACTICAL PRACTICAL
Major Project I 4 Major Project 2 6
TOTAL 23 TOTAL 16

Scholarships

Scholarships for Under-Graduate Students

Scholarship for Undergraduate Students for 2024 intake

CATEGORY All India
SCHOLARSHIPS 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% 90.00%
12th Percentage (Any Central Board) 80.00-84.99 85.00-89.99 90.00-92.50 92.60-94.99 95 96 97 98 99
JEE Percentile 75-79.99 80 - 84.99 85 - 89.99 90 - 94.99 95-95.99 96-96.99 97-97.99 98-98.99 99-100
CUET Percentile 88 - 89.99 90-91.99 92-93.99 94-94.99 95-95.99 96-96.99 97-99.99 98-98.99 99-100

Note: Best 4 Core Subjects only (SUPW, Physical Education and Non Academic Subjects will not be considered)

SCHOLARSHIP FOR UTTARAKHAND DOMICILE

  • 25% on Tuition Fee

Note:
No two scholarships can be clubbed together, if any student eligible for two scholarships may choose the higher scholarship from the respective category.

Procedure

  1. Students registering for scholarship should apply on the prescribed form avaliable with the institute or on website at the time of interview before confirmation of admission. Students who do not apply before confirmation of admission wlil not be eligible for merit scholarship.
  2. Students should submit photocopies of all mark sheets and certificates required as above for entitling the scholarship.
  3. Upon your official confirmation of admission with the DBSG, you wlil receive a formal scholarship offer letter / confirmation.
  4. The scholarship wlil be disbursed semester wise.
  5. In case the result of the previous semester has not been declared tlil the last date of submission of fees for the next semester, the student may provisionally submit fees equivalent to the last semester fees but in case falis to get the required marks wlil have to submit the balance fees.
  6. Whlie applying for a scholarship and fliling in the percentage of class XII marks, applicants are required to consider the aggregate of Best 4 core subjects in their XII boards (SUPW, Physical Education and Non Academic Subjects wlil not be considered).

However the scholarship for 3rd semester onwards wlil be subject to:

  1. 75% attendance to be maintained in each subject individually in the preceding semester. Please note that Third Semester Scholarship depends on First semester performance and Fourth semester Scholarship on second semester.
  2. 70% marks in cumulative score in all subjects.
  3. Students shall not be involved in any disciplinary action of misconduct where a penalty or fine is imposed by the Proctorial board.
  4. Students shall take a good moral character certificate from the course coordinator every year and submit the same with the Registrar.
  5. Students should give an undertaking of being avaliable at all time during the course for any brand ambassador activities and also in case of events/goodwlil programmes.
  6. There should be no discontinuation in study. In case of transfer to any other institute, the scholarship given wlil have to be refunded prior to issue of College Leaving Certificate.
  7. Students need to send a thank you letter to the Board of Trustees for the Generous Scholarship every semester.
  8. In case any of the above criteria is not fulfliled the scholarship for the next semester wlil be withdrawn.

Disclaimer:

  • Notwithstanding anything under this Scholarship scheme, ESKAY EDUCATIONAL TRUST has sole discretion to edit, modify, change, update, continue or abandon the above-mentioned Scholarship going forward at any given point in time, without any prior written intimation. Management wlil be the final deciding authority for all scholarship decisions as stated in this specific disclaimer.
  • There is no concept of automatic renewal for next semester. The Sponsorship Committee shall decide every semester on a case-to-case basis, subject to the Scholarship Scheme if prevaliing at the relevant time.
  • There should be no discontinuation in study. In case of discontinuation / transfer to any other institute, the scholarship given wlil have to be refunded prior to issue of college leaving certificate.
  • Please note that this communication is without prejudice to any rights of ESKAY EDUCATIONAL TRUST and this communication should not be considered as a waiver of any rights of ESKAY EDUCATIONAL TRUST in the applicants’ favour.

Eligibility

To pursue this program student must have

Min. 75% in XII (Physics, Mathematics, Chemistry / Computer Science as mandatory subjects) with appereance in National Level Entrance Examinaiton + Online Interview + Writing Test ( Merit on the basis of cumulative Score on the basis of X+XII + Online Interview + Writing Test )

How to Apply

In order to pursue this program, the students can talk to our counceller or use links below for further details:

Student Speak

Dhruv Tripathi

I am delighted to say that the faculties and the staff has helped me to achieve these dreams. Here, I not only had the chance to develop on my technical skills but also on other aspects such as Leadership & Management skills.

Saswati Pattjoshi

⁠I am very thankful to the department faculty and the placement cell that helped me achieve this while guiding me at every stage. My experience with the placement procedure was really great as I got to learn a lot. The placement cell is very well versed about each step.

Satyam Shekhar

⁠It is a great experience being at DBSGU. Our CDC department has helped a lot during the process of placement. They make sure that each student is well prepared for the interview.

Jyoti Nainwal

I am really thankful towards our college and placement cell, for supporting and providing us opportunities to learn interview skills, communication skills and guiding us in placements. The staff was supportive and informed us with enough notice regarding every placement drive.

Clubs & Activities Endless activities to get you relexed & refreshed when you are not studying

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Placements Enjoy Everyday while
Ensuring Great Career

At DBSGU each student gets the opportunity to appear for more than 250+ companies each year and each student is able to get the optimum placement deserved. The maximum take home salary has been Rs. 20.5 Lakhs & CTC 23.5 Lakhs. Based on the intensity of training and exposure involved in the management program chosen by students at DBSGU, they are offered positions ranging from Mid-level Manager, Functional Expert, Consultant (Entry Level), Entry Level Managerial and Domain Trained positions.

Interested in this program? Talk to counsellor @ +91 7259162060
Apply Now