B.Tech. in Machine Learning 

at Jai Bharat College of Management and Engineering Technology powered by Sunstone, Kochi

Refer to the table below for a detailed overview of the top B Tech Artificial Intelligence colleges in India along with their average placemnt package and the prominent recruiters:

Disclaimer: This information is sourced from the official website/ media reports/ NIRF website and may vary.

READ MORE: Career after BTech

The BTech Robotics Engineering syllabus is not the same across all colleges. Every college follows a particular coursework pattern that includes core and elective subjects, lab classes, internships, project work, and workshops to give the students both theoretical knowledge and practical learning experience. Some core subject modules might share some similarity, but the specialised electives are different, based on individual college guidelines.

Below are some of the general subjects that you can pick during your BTech studies, as these course will advance your technical and practical knowledge:

Mathematics: A mathematical background includes understanding of Calculus, Linear Algebra, Differential Equations and Statistic Stamina.
Physics: Mechanics, electricity & magnetism, kinetics & dynamics, thermodynamics and wave & optics.
Chemistry: This common general chemistry course involves sub-topics such as organic chemistry, inorganic chemistry among others.
Programming: C+,  Python,  Java
Engineering fundamentals: Statistics, dynamics, fluids and their action, heat and its work, properties of matter
Engineering design: Aesthetics, reasoning process, design tools and methods, using of computer-aided design (CAD).

Rest, the subjects taught in the BTech courses would be specialization-specific, based on your chosen field.

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 BTech in AI syllabus is a perfect mix of core and elective subjects. The core subjects are compulsory for you to study in every semester as they are meant to give you a strong base in the field of AI. Coming to the elective choices, there are a lot of interesting options and you can choose the elective subjects as per your interests, something you resonate more with and easy to understand for you.

So, the elective subjects do give you that liberty of customizing your BTech in Artificial Intelligence syllabus in some way or the other.

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

Engineering job profiles vary across the industry as well as the domain where the person is recruited. Since the popular industries include petrochemicals, civil engineering, construction and other allied industries, the following job profiles are very popular and offer promising career opportunities:

Note- The above salary has been taken from external sources, and hence may vary.

When it comes to the customization of the BTech in Robotics Engineering syllabus, the core subjects leave little to no scope for customization, as they are compulsory for you to study in each semester because they provide foundational knowledge of the field of robotics and automation. Talking about the specialised electives, there is some room for customization, as you can choose the subjects based on your interests and understanding - the ones that are easy for you to understand, are scoring, have industrial demand, and are fun to explore.

Recommended Link: Robotics Engineering Subjects