B. Tech Computer Science and Engineering (Artificial Intelligence)

About

BTech - AI

A B.Tech in Artificial Intelligence focuses on designing intelligent systems that can think, learn, and adapt like humans. It covers key areas such as machine learning, data science, robotics, and natural language processing. The program develops strong analytical, programming, and problem-solving skills. Graduates are prepared for careers in AI research, automation, and advanced technology industries.

National Applicants
International Applicants
IT
Program Outcomes

Why Study BTech - AI

Eligibility

Duration: 4 years (Semester System)

01

Affiliation

A recognized constituent institution under Gokul Global University.

02

Eligibility Criteria

Candidate shall have Passed 12th Examination with Physics, Chemistry, Maths/Biology subjects and in these subjects along with theory or theory + practical candidate should have obtained at least 45% in case of general category and 40% in case of reserved category from recognized board

03

Mode of Admission

As per the guidelines and procedure prescribed by UGC and AICTE.

Curriculum

Curriculum

SEM 1
SEM 2
SEM 3
SEM 4
SEM 5
SEM 6
SEM 7
SEM 8
S. No Course Name Details
1 B. Tech Computer Science and Engineering (Artificial Intelligence) Semester - 1
S. No Course Name Details
1 B. Tech Computer Science and Engineering (Artificial Intelligence) Semester - 2
S. No Course Name Details
1 B. Tech Computer Science and Engineering (Artificial Intelligence) Semester- 3
S. No Course Name Details
1 B. Tech Computer Science and Engineering (Artificial Intelligence) Semester - 4
# Course Code Course Name Type Credits Theory Tutorial Practical Detail Syllabus
1 FEB150501 Python Programming Professional Core Courses 4 3 0 2
2 FEB250801 Advanced Java Professional Core Courses 4 3 0 2
3 FEB150702 Machine Learning Professional Core Courses 5 3 0 4
4 FEB150802 Data Analytics Professional Core Courses 4 3 0 2
5 FEB150405 Computer Graphics Professional Elective Courses 5 3 0 4
6 FEB150803 Seminar-1 Seminar 0 0 0 2
Total 22 31 Hrs / Week
# Course Code Course Name Type Credits Theory Tutorial Practical Detail Syllabus
1 FEB170801 Business Intelligence Professional Core Courses 5 3 0 4
2 FEB170802 Artificial Neural Network Professional Core Courses 5 3 0 4
3 FEB170503 Cloud Computing Professional Elective Courses 4 3 0 2
4 FEB170504 Block Chain Professional Elective Courses 4 3 0 2
5 FEB170506 Internet of Things Open Elective Courses 3 0 2 2
6 FEB170805 Mini Project Project 1 0 0 2
Total 22 28 Hrs / Week
# Course Code Course Name Type Credits Theory Tutorial Practical Detail Syllabus
1 FEB180801 Project (Industrial Internship) Project 18 0 0 36
Total 18 36 Hrs / Week
# Course Code Course Name Type Credits Theory Tutorial Practical Detail Syllabus
1 FEB160403 Software Engineering Professional Core Courses 4 3 0 2
2 FEB160801 Artificial Intelligence Professional Core Courses 4 2 0 4
3 FEB160802 Deep Neural Network Professional Core Courses 4 2 0 4
4 FEB160803 Natural Language Processing Professional Elective Courses 5 3 0 4
5 FEB160405 Data Science Open Elective Courses 3 0 0 6
6 FEB160505 Seminar-2 Seminar 1 0 0 2
Total 21 32 Hrs / Week
GGU Laboratories

Laboratories

Activities

Activities