B.Tech in Computer Science and Engineering ( Artificial Intelligence and Machine Learning) 

at Kingston Engineering College, Vellore

The BTech Mechanical Engineering syllabus gives importance to both theory-based knowledge and practical training. You need to study the core subjects that are compulsory as they provide a strong base for the field, opt for interesting electives to explore new concepts, and attend laboratory classes and intriguing workshops to get hands-on training regarding the mechanical design aspects. So, you will get a mix of both aspects with a strong inclination towards practical application to prepare you for a fulfilling career journey ahead.

Useful Link for Reference: Mechanical Engineering Subjects

The BTech in AI curriculum typically covers core subjects like:

• Introduction to Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Structures and Algorithms
• Probability and Statistics
• Computer Vision
• Natural Language Processing
• Robotics
• Software Engineering
• Mathematics (Calculus, Linear Algebra)

The overall seats available across all courses offered by Kingston Engineering College is up to 585. Good thing to know is that Kingston Engineering College has courses which are approved by prominent Government bodies like AICTE.

Kingston Engineering College has been rated 3.2 on placements on the basis of 37 reviews done by students.

Kingston Engineering College has below criteria for taking admissions to it's various courses:

Courses	Eligibility
B.E. / B.Tech	Candidate must have passed VIII, IX, X, XI & XII Std. from schools situated in Tamil Nadu. Tamil Nadu native candidate who have passed any of the VIII, IX, X, XI & XII Std. or their equivalent exam from schools situated outside Tamil Nadu can also apply. They should produce Original Nativity Certificate. Children of Central Government Employees, irrespective of their nativity, provided their parents or guardians (only if both parents are not alive) have been serving in Tamil Nadu continuously for the past five years can be eligible to apply. Sons & daughters of All India service Tamil Nadu cadre officers are eligible to apply. A Self declaration from the parent in this regard is to be produced. Children of employees in the Public Sector or Government recognised institutions had been working in their organisations for the past five years are also eligible, irrespective of their domicile. Other State candidates who have studied VIII, IX, X, XI and XII Std. in Tamil Nadu are eligible to apply.
MBA/PGDM	Candidate who have completed 10+2+AMIE or 10+3 years Diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.
M.E./M.Tech	Candidate who have completed 10+2+AMIE or 10+3 years Diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.

Kingston Engineering College has been rated 3.9 for faculty as per reviews by students. This shows that Institute has qualified and experienced faculty members.

The flagship courses offered at Kingston Engineering College are B.Tech, MBA/PGDM, M.E./M.Tech. The Institute has experienced faculty offering the best education to students. On the basis of Shiksha verified reviews, Kingston Engineering College has a rating of 3.6 by students. The college's campuslife, placements, faculty and Infrastructure has been rated as 3.6, 3.2, 3.9 and 3.7 as per reviews by students.

Kingston Engineering College offers Degree courses including 8 UG and 5 PG courses. These programs are offerred in Full Time mode. Kingston Engineering College has specializations such as B.Tech specializations in Civil Engineering, Computer Science Engineering, Electrical Engineering, Electronics & Communication Engineering, Information Technology, Mechanical Engineering, Artificial Intelligence & Machine Learning, M.E./M.Tech specializations in Electronics Engineering, Computer Science Engineering, Power Engineering.

Yes, many universities offer electives that allow students to specialize in specific areas of AI, such as:

• Big Data: Tools and Techniques
• Cloud Computing
• Computer Graphics
• Human-Computer Interaction
• Big Data Analytics
• Cybersecurity
• Data Analytics
• AI, Neuroscience, and Natural Intelligence