AI
Department Code: 413899710

B.Tech inArtificialIntelligence

This course introduces the basic concepts and techniques of Artificial Intelligence, including machine learning, neural networks and intelligent systems. It helps students understand how AI is used to analyze data, make decisions and solve real-world problems

Duration 4 Years
Intake 180
Level UG

About the Program

The Artificial Intelligence (AI) program is designed to equip students with strong theoretical foundations and practical skills required to design and develop intelligent systems. The curriculum covers key areas such as machine learning, deep learning, data analytics, natural language processing, computer vision and intelligent decision-making, enabling students to address complex real-world problems.

The program emphasizes problem-solving, critical thinking and the ethical application of AI technologies. Learning is reinforced through state-of-the-art laboratories equipped with modern computing infrastructure, advanced software tools and access to industry-relevant platforms that promote hands-on learning, experimentation and research.

Students benefit from project-based learning, internships, technical workshops and seminars conducted by industry professionals and academicians, effectively bridging the gap between theory and practice.

The department’s vision is to develop skilled AI professionals who are innovative, socially responsible and capable of contributing to technological advancement and societal development. Its mission is to deliver quality education, promote research and innovation, strengthen industry collaboration and encourage lifelong learning.

Through a balanced curriculum and a supportive academic environment, the program prepares students for successful careers in AI-driven industries, higher education and research.

Vision

"To be recognized for excellent engineering, developing global leaders both in educational and research in the domain of computer science and wireless engineering."

Mission

  • 01.To create self-learning environment by facilitating leadership qualities, team spirit and ethical responsibilities.
  • 02.To improve department-industry collaboration, interaction with professional society through technical knowledge and internship program.
  • 03.To promote research and development with current techniques through well qualified resources in the area of computer science and wireless engineering.

B.Tech with Dual Degree / Honors

Placements Overview

10.2 LPA

100%

Key Highlights

  • 24/7 E-content Centre
  • Real Projects, Hackathons & Innovation Hubs
  • Global Language Training
  • Excellent Industry Exposure – CEO Series
  • Centre for Performing Arts
  • Centre for Research Industry & Patent
  • 100% Internship & Live Projects
  • 17 Acres of Eco Friendly Campus
  • IIT Eyantra Lab + IIT Madras for Data Science Degree
  • NPTEL – Get Paid to Learn via NPTEL Reward Scheme


Exam Coaching

GATEGRETOEFL

Learning Partners

SwayamVirtual LabsCourseraNPTEL

Program Objectives & Outcomes

Discover the core competencies, educational goals and specific skills our graduates achieve through this program.

Infrastructure

Key Laboratories

Total Facilities09
01
Database Lab
02
Project Lab
03
Programming Lab
04
Computer Center
05
Graphics Lab
06
Data Science Lab
07
Machine Learning & AI Lab
08
Big Data & Cloud Computing Lab
09
Full Stack Development Lab
Academic Structure

Curriculum Roadmap

Sem I

Artificial Intelligence

Advanced Chemistry
Engineering Graphics & Design
Linear Algebra & Complex Analysis
Basic Civil and Mechanical Engineering
Sem II

Artificial Intelligence

Advanced Physics
Basics of "C" Programming
Numerical Method & Advance Calculus
Basic Electrical and Electronics Engineering
Sem III

Artificial Intelligence

Theory of Computations
Computer Organization and Networking
Data Structures with Python
Statistical Analysis and Discrete Mathematics
Sem IV

Artificial Intelligence

Rendering Techniques
Data Base Management System
Foundations of Large Language Model
Business Data Processing
Sem V

Artificial Intelligence

Fundamental of Artificial Intelligence
Design and Analysis of Algorithms
Operating System
Knowledge Discovery in Databases (KDD)
Sem VI

Artificial Intelligence

Cyber Security & Privacy
Machine Learning
Deep Learning
Service-Oriented Middleware
Sem VII

Artificial Intelligence

Natural Language Processing
Data Science
Cloud Technologies and Service
Research Methodology
Sem VIII

Artificial Intelligence

Project Phase-II
Internship / On Job Training-III
MOOC Course (NPTEL/SWAYAM)
Student Forum

Aavinya Committees

Established in 2009, the Aavinya Student Forum of the AI Department is designed to develop leadership, teamwork, communication skills, confidence and stage daring within students, while realizing their responsibilities toward society.

Admin Committee

6 Active Members

3rd yr

Mr. Sujal Guntewar

President

3rd yr

Mr. Kavya Khobragade

Vice-President

3rd yr

Ms. Shravanee Patil

Secretary

2nd yr

Mr. Varad Gosavi

Joint-Secretary

3rd yr

Mr. Kalash Wardhekar

Treasurer

2nd yr

Ms. Nandini Dhale

Spokesperson