B. Tech Artificial Intelligence and Machine Learning
हम अलग हैं, हम अलार्ड हैं
OVERVIEW
HIGHLIGHTS OF THE PROGRAM
01
Practical experience
02
solving real-world problems
03
participate in competitions
04
Specialized Labs
05
Collaborate in Research
06
Solving real-world problems
07
Best Academic Guidance
08
Career Opportunities
Lab Facilities
ABOUT PROGRAM
Short Brief About the Program
Artificial Intelligence will be part of our future, it’s inevitable.
The department of AI & ML focuses on cutting-edge technologies such as Artificial Intelligence (AI) and
Machine Learning (ML). Our department offers comprehensive courses to empower students with
knowledge and skills in AI and ML. We emphasize ethics, privacy, and responsible AI practices to ensure
the development of socially beneficial AI solutions. Graduates from our department are well-prepared to
excel in industry, academia, and entrepreneurship, making a positive impact in the world of AI and ML.
The B.Tech in Artificial Intelligence and Machine Learning offered by ALARD University with an intake of
120 seats. B.Tech Artificial Intelligence and Machine Learning is a 4 year undergraduate degree program
in the engineering stream. In this course, students are taught how to write the code of the said machine.
This code works as a guiding instruction for machines so that machines can perform tasks with less human
interaction. The UG program's objective is to create exceptionally well AI and ML engineers who will
transform the world through creative AI and ML solutions.
Program Structure
Semester-wise subjects
| SEMESTER 1 |
|---|
|
Mathematics -I |
|
Applied Physics/
Applied Chemistry |
|
Basic Electronics/
Electrical
Engineering |
|
Engineering Graphics |
|
Fundamentals of Programming Language |
|
Professional Communication Skills |
|
Mini Project – I |
|
Co-Curricular – I |
| SEMESTER 2 |
|---|
|
Mathematics -II |
|
Applied Physics/ Applied Chemistry |
|
Basic Electronics/ Electrical Engineering |
|
Engineering Mechanics |
|
Programming and Problem Solving |
|
Mathematics in India: From Vedic Period to Modern Times |
|
Mini Project – II |
|
Co-Curricular – II |
| SEMESTER 3 |
|---|
|
Object Oriented Programming using Java |
|
Operating System |
|
Introduction to
AIML |
|
Multidisciplinary Minor – I |
|
Quantitative Analysis and Logical Thinking |
|
Environmental Science |
|
Field Project |
| SEMESTER 4 |
|---|
|
Data Structures and Algorithms |
|
Database Management Systems |
|
Web Application & Technology |
|
Modern Indian Language |
|
Emotional Intelligence |
|
Ethics in IT |
|
Mini Project – III |
| SEMESTER 5 |
|---|
|
Design and Analysis
of Algorithms |
|
Mathematics for AI and ML |
|
Machine Learning |
|
Program Elective – I |
|
Multidisciplinary Minor – II |
|
Entrepreneurship – I |
| SEMESTER 6 |
|---|
|
Cognitive Computing and Natural Language Processing |
|
Big Data Analytic |
|
Blockchain Technology |
|
Program Elective – II |
|
Multidisciplinary Minor – III |
|
Entrepreneurship – II |
|
Mini Project – IV |
| SEMESTER 7 |
|---|
|
AI & ML Ops |
|
Deep Learning |
|
Program Elective – III |
|
Program Elective – IV |
|
Multidisciplinary Minor – IV |
|
Internship – I |
| SEMESTER 8 |
|---|
|
Program Elective – V |
|
Program Elective – VI |
|
Internship – II |
|
Project |
|
Research Methodology |
Salient Features of the Program
- Well equipped state–of-the-art laboratories with total investment of INR 1 crore.
- Active Entrepreneur Development cell to develop employer skills among students. During vacations, students go for industry training and enhance their knowledge in various fields.
- Provision of semester-long internship with 24 credits for final year students, besides summer/winter vacation internships and project stages from semester 1.
- Provision of Entrepreneurship in the programme.
- Provision of Majors and Minors courses in the curriculum.
- Promotion of MOOCs & provision for credit transfer.
- Membership of professional bodies: IEEE, IETE, ISTE, The International Association of Online Engineering, The International Association of Engineers, etc.
Eligibility
- Candidates must have passed 10+2 Examination with minimum 45% aggregate marks (for General category) and 40% aggregate marks (for Reserved category) with Mathematics and Physics as compulsory subjects and Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as optional subjects.
- Candidate must have positive score in any of this JEE/ MH-CET/ AEST entrance test.
Fee Structure
| Indian Nationals/NRI | |
|---|---|
|
B. Tech Artificial Intelligence and Machine Learning |
INR 2,50,000 per year (excluding examination fees) |
OTHERS
Career Opportunities
- Software Developer/Engineer
- Data Scientist/Data Analyst
- Artificial Intelligence/Machine Learning Engineer
- Cyber Security Specialist
- Web Developer
- Network Engineer
- Cloud Engineer/Architect
- Systems Analyst
- Mobile App Developer
- IT Project Manager
Summary
Graduates of the B. Tech Computer Science and Engineering program will demonstrate proficiency in the field, equipped to embark on successful careers as engineering professionals. They will exhibit a dedication to developing sustainable solutions that meet current societal needs and will be adept at adapting to and driving technological advances through continuous learning and innovation.
Events
