B.E. in Artificial Intelligence and Machine Learning 

at Lamrin Tech Skills University, Shahid Bhagat Singh Nagar

The BTech Mechanical Engineering syllabus is not the same across all colleges, as every college committee sets a particular coursework pattern at the start of every academic year to be followed for the respective batch. The syllabus includes some core subjects, interesting electives, and lab work that gives detailed knowledge to the students about the workings of the field.

Helpful Link: Mechanical Engineering Subjects in Detail

Yes, CSE (full form Computer Science and Engineering) is a good career choice if you are aspiring for a good salary package as a fresher. A Computer Engineering graduate's average salary in India is approx. INR 6 lakh and higher. Also, owing to the exponential rise in AI & ML concept), CSE course gradutes have got a competitive job market and abundant opportunities for career growth. 

The M.Tech Civil Engineering syllabus follows a more practical and industry-oriented approach, where students are given advanced-level understanding of Civil Engg. concepts with a focus on a particular area like Structural Engineering, Construction Engineering, Geotechnical Engineering, Water Resources Engineering, Environmental Engineering, etc.

There are rigorous theory classes, case studies, field visits, and project work, all of which combined are expected to make the students job-ready for the future.

Relevant Link: Environmental0 Civil Engineering Subjects

The BTech Civil Engineering syllabus focuses on both theoretical lectures as well as practical work.

With the help of lectures in the curriculum, theoretical concepts are introduced to students, tutorials provide space for solving problems and applications also.

And the labs offer hands-on experience to students who get acquainted with equipment and CAD software. Also, the field projects also allow students to apply their B Tech Civil Engg. skills and knowledge to design and implement communication systems.

Graduates have diverse career options in:

• Machine Learning Engineer
• Data Scientist
• AI Engineer
• Data Analyst
• Software Developer (AI)
• Research Scientist
• Robotics Engineer

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