B.Tech. in Artificial Intelligence 

at Karanjekar College of Engineering and Management, Sakoli

The BTech CSE syllabus differs on the basis of the college offering the course. Every college follows a particular coursework pattern set by the college committee. Though the subjects might vary, the overall conceptual framework is more or less similar for students to get hold of the important concepts of the CSE field.

The syllabus includes core subjects, elective subject choices, practical lab work, workshops, and a final year research project.

Graduates with a BTech degree in CSE are in high demand across a plethora of work fields, as everything is ruled by computer technology these days and every industry needs strong software applications, network security, and database management systems for effective working. A few top industries recruiting BTech in CSE graduates are given here:

• IT & Software
• Product Development
• E-Commerce and Digital Commerce
• Cloud Computing & AI
• Data Science & Analytics
• Banking and FinTech
• Automotive
• Healthcare

Useful Link: BTech CSE Career Scope

The BTech CSE syllabus is incomplete without regular lab classes and internship programs because of the importance of programming, software development, and AI and ML knowledge required in the CSE field, which cannot be taught only through theory classes.

Premier institutes often collaborate with leading industrial partners to provide their students with the best internship exposure and training opportunities, which may act as an entry point to excellent earning opportunities later.

While it is not mandatory to have extra certifications to get a high-paying job after BTech CSE, additional certificates for skill-based learning definitely gives you an edge over other potential candidates, as the recruiter looks at you as an asset for the company. In the digitalized world that we're living in today with advancements taking place every day, it important to upskill yourself to stay relevant in the job market and enjoy health salary packages.

Skill-based certificate courses in Blockchain Technology, AI & ML, IoT, and Cloud Computing Technology, can prove to be an excellent move on your part to climb the ladder of career success in 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.

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.

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