B.Tech – (AI & ML)

Course Overview

B. Tech in Computer Science (Artificial Learning and Machine Learning) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence.

We seeks to produce competent engineers in the field of Artificial Intelligence who can contribute to the field by developing data analytics, scientific computation, numerical & statistical analysis, and other Machine Learning capabilities.

B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning) helps students to design and develop computer - based applications of varying complexities in emerging areas of Artificial Intelligence and Machine Learning. The curriculum primarily focuses on the foundations of computational mathematics, core components of Computer Science, along with the latest advancements in Artificial Intelligence and Machine Learning. A degree in this program will cover the following topics:

Artificial Intelligence, Machine Learning, and Data Science
Neural Networks and Natural Language Processing
Algorithms and Pattern Recognition
Robotics, Automata, and Deep Learning
Sensors, Computer Vision, and Big Data

This programme is for students who want to acquire the ability to design intelligent solutions to problems in a variety of domains and business applications and fields such as natural language processing, text mining, robotics, reasoning and problem-solving.

ELIGIBILITY CRITERIA

PROGRAM	CRITERIA
Bachelor of Technology – CSE (AI & ML)	Candidates must have passed 10+2 examination or its equivalent from any recognized Board/ University with at least 45% marks for General Category & 40% marks for SC/ST Category in Mathematics, Physics and one optional subject of Chemistry /Biology/ Computer Science. Through UPSEE Counseling: for the Academic Year 2023-24, the Score sheet of JEE (Main) will be used for admission to B.Tech. Course.
Bachelor of Technology – CSE (AI & ML) (Lateral Entry) – 2nd Year	Candidate must have passed diploma with at least 60% marks for General Category & 55% marks for SC/ST Category.

Career Opportunities

Machine Learning Engineer
Data Scientist
Artificial Intelligence Engineer
Data Analyst
Machine Learning Architect

In companies like:

Amazon
CapGemini
Mphasis
NTTData
Quickheal
SYNTEL
TCS
Vivo Mobile
Wipro

Why GNC?

100% consistent placement record.
World Class Infrastructure.
Hostel Facility, Separate for Boys and Girls.
Student’s clubs for various activities like Technical, Sports, Cultural, Social clubs etc.
Workshops and Value Added modules like Problem solving using C, Full Stack Web Development, DS, SQL, Unix, Data Analytics using R etc.
Placement opportunities in more than 100 IT companies every year and multiple placement offers for B.Tech. (CSE, CS-AI) students including companies like TCS, Wipro, Chetu etc.
Value Added courses offered at GNC.
Training Programs offered to students like Full Stack Web Development, Java programming, R Programming, Python, etc.
Soft skill certifications like Corporate Transition Learner, Corporate Conduit Learner, etc
Students nurture by highly qualified and dedicated faculty to provide value based education and training needed for the students.
Government Funded live projects.

Strong Alumni Base

More than 1000 B.Tech. (CSE, CS-AI) alumnus working across the globe in IT companies such as Adobe, TCS, Infosys, Wipro, Capgemini, Birla Soft and others, in the capacity of Computer Scientist, Business Architect, Project Manager, Team Lead, Database Administrator, Senior Software Engineer etc.

SYLLABUS

As per AKTU 2023 - 24 Curriculum.

First Year :

https //aktu.ac.in/pdf/syllabus/syllabus2223/Syllabus_BTech_First_Yr_Common_other_than_AG_&_BT_effective_from_2022_23_R.pdf

Second Year:

https://fms.aktu.ac.in/Resources/aktu/pdf/syllabus/Syllabus2324/B.Tech_2nd_Yr_CSE_v3.pdf

Third Year:

https://fms.aktu.ac.in/Resources/aktu/pdf/syllabus/Syllabus2324/B.Tech._3rd_Yr_AIML_2023_24.pdf