Bachelor of Technology (B.Tech) - CS & Engineering (AI & Machine Learning)

COURSE DESCRIPTION

The objective of the undergraduate program is to nurture and develop highly skilled AI and ML engineers equipped to transform the world through groundbreaking innovations and solutions. This comprehensive course is designed for students aiming to build rewarding careers and take on challenging roles in the ever-evolving industrial landscape.

With AI and ML engineers ranking among the highest-paid professionals worldwide, their expertise is increasingly sought after across diverse sectors experiencing rapid technological advancements and transformations. This program prepares students to meet these demands, empowering them with the knowledge and skills needed to excel in a field that is shaping the future of industries on a global scale.

Academics & Career
In the B.Tech CSE (Artificial Intelligence and Machine Learning) program, students delve into essential concepts encompassing computational thinking, programming for problem-solving using Python, data structures, algorithms, databases, artificial intelligence (AI) including search techniques and knowledge representation, as well as machine learning, deep learning, and natural language processing. Additionally, students gain in-depth knowledge of AI and machine learning by tackling real-world problems across diverse application domains such as cognitive sciences, computer vision, speech and natural language processing, and more. They develop expertise in machine learning, computer vision, speech and natural language processing, data analytics, and various professional electives offered within the generic AI domain verticals.

Academics & Career

In the B.Tech CSE (Artificial Intelligence and Machine Learning) program, students delve into essential concepts encompassing computational thinking, programming for problem-solving using Python, data structures, algorithms, databases, artificial intelligence (AI) including search techniques and knowledge representation, as well as machine learning, deep learning, and natural language processing. Additionally, students gain in-depth knowledge of AI and machine learning by tackling real-world problems across diverse application domains such as cognitive sciences, computer vision, speech and natural language processing, and more. They develop expertise in machine learning, computer vision, speech and natural language processing, data analytics, and various professional electives offered within the generic AI domain verticals.

FEES	AMOUNT
Annual Registration Charges	₹1500
4 year(Full Course) Charges	₹81,000 B.Tech (CS/ CS(AI&ML)/ EEE/ EC/ ME/ Civil) Eligibility: 12th(PCM) Affiliation: AKTU, Lucknow

FEES

AMOUNT

Annual Registration Charges

₹1500

4 year(Full Course) Charges

₹81,000

B.Tech (CS/ CS(AI&ML)/ EEE/ EC/ ME/ Civil)
Eligibility: 12th(PCM)
Affiliation: AKTU, Lucknow

Eligibility Criteria: B.Tech – Lateral Entry
- Passed Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology.
- Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
- Provided that the students belonging to the B.Sc. stream shall clear the subjects Engineering Graphics/Engineering Drawing and Engineering Mechanics of the First Year Engineering Programme along with the Second Year subjects.
- Provided that the students belonging to the B.Sc. stream shall be considered only after filling the supernumerary seats in this category with students belonging to the Diploma stream.
- Passed D.Voc. Stream in the same or allied sector. In these cases, suitable bridge courses, if required, such as in Mathematics or basic Engineering foundation courses, may be suitably designed and implemented.