BACHELOR OF TECHNOLOGY (CS-ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)

B.Tech AI/ML

About Course

Bachelor of Technology in Computer Science and Engineering in Artificial and Intelligence and Machine Learning (B.Tech AI/ML) is the most important and valuable specialisation in the field of engineering. During this four years programme students will be able to understand informative materials specifically for embedded systems, through which a machine learning environment can be designed with its applied environment.

Today’s generation has become more advanced with the advancement of technology and now they want to make their life and career as a computer machine developer. B.Tech AI & ML of CSE branch has reached to the top with its demand in the entire branches of the engineering sector. It is able to deliver a great scientist's ideas of artificial intelligence & machine learning through the real interactions with the real implementers of the technology.

Robotics and Intelligent Machines are great options to make a successful career in MNCs. There are so many platforms available in the market now to practice with the latest software available for AI&ML technology.

Eligibility Criteria & Duration

Eligibility: 10+2 PCM with aggregate 45% marks

Duration: 4 years

Fee Structure

Academic Year Tution Fee Book Bank NPTEL Examination Fee Total
BACHELOR OF TECHNOLOGY (CS-ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING) 4 years 120000 2000 3600 Semester Pattern 144600

Highlight

  • Gives motivation to the engineers for doing the artificial setup of machine.
  • Builds interest in developing and supporting the foundation of the society.
  • Eager to learn and try to build the machine with AI.
  • Embedded systems designing and development.
  • Real scenarios for implementation.
  • Practical knowledge of programming languages.

Career Prospects

After completing B.Tech from AI/ML, a student has many options such as:

  • Artificial Intelligence Engineer.
  • Computer vision
  • Machine Learning Engineer.
  • Expert system.
  • Deep Learning Engineer.
  • Robotics.
  • Big Data Engineer.
  • Language detection.
  • Data Scientist.
  • Research Scientist.