B.Tech in CSE with AI and ML

Particulars

Course Details

Course Name

B.Tech in CSE with AI and ML

Course Level

Undergraduate (UG)

Specializations

Deep Learning, Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, Robotics, Data Analytics, Predictive Modeling, Neural Networks.

Eligibility

Candidates must have completed 10+2 with Physics, Chemistry, and Mathematics as core subjects, Minimum aggregate marks of 50-60% (may vary by institution).

Course Duration

4 years (full-time)

Admission Process

Admissions are based on national and states-level entrance exams, Some Institute also offer Direct admission

Entrance Exms

JEE Main, JEE Advanced, BITSAT, MHT CET, TNEA, WBJEE

Career Options

AI Engineer, Machine Learning Engineer, Data Scientist, Robotics Engineer, Computer Vision Specialist, NLP Engineer, Research Scientist, Business Intelligence Developer

More About B.Tech in CSE with AI and ML

The B.Tech in CSE with AI and ML curriculum covers specialized subjects like Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, Natural Language Processing (NLP), Computer Vision, Robotics, Predictive Analytics, Big Data, and Data Mining. This curriculum is designed to provide a solid foundation in both computer science fundamentals and advanced AI and ML techniques, preparing students for high-demand roles in AI technology.

Internship/Practical Training:

  • Practical training is integral to the AI & ML program, where students engage in internships, lab projects, and hands-on coding exercises. Internships are commonly completed at tech firms, AI-focused companies, and startups, where students work on projects involving machine learning algorithms, data preprocessing, model training, and AI applications. This experience is vital for applying theoretical knowledge to real-world scenarios.

Job Prospects:

  • Graduates of B.Tech in CSE with AI & ML have strong job prospects across industries like tech, healthcare, automotive, finance, e-commerce, retail, and consulting. The demand for AI and ML professionals is increasing due to rapid advancements in AI technology and its application across industries. These graduates play a key role in driving innovation, automating processes, and creating intelligent solutions.

Salary Range:

  • Entry-level salaries for AI & ML graduates typically range from INR 6 lakh to 15 lakh per annum, depending on the role and company. With experience, AI and ML professionals can see significant salary growth, especially in specialized roles like deep learning, NLP, or robotics engineering.

Further Studies:

  • After completing B.Tech in CSE with AI & ML, graduates can pursue advanced degrees such as M.Tech in AI & ML, MBA in Data Science and Analytics, or certifications in specialized areas like Deep Learning, NLP, and Robotics. These further studies open up advanced research, academia, and specialized industry roles, enhancing career growth and expertise in AI and ML.

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