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Quick Facts

Total Fees
2.21 L

Fees Details

General

2.21 L

General

2.21 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

12 Months

Artificial Intelligence (AI) is one of the most current popular in the field of computer science and engineering. Artificial Intelligence is immersive and has a huge impact on society.AI deals with intelligent behavior, learning, and adaptation in machines, robots, and body-less computer programs. AI is everywhere: search engines use it to improve answers to queries, to recognize speech, to translate languages, email programs use it to filter spam, banks use it to predict exchange rates and stock markets, doctors use it to recognize tumors, robots use it to localize themselves and obstacles, autonomous cars use it to drive, video games use it to enhance the player’s experience, adaptive telescopes use it to improve image quality, smartphones use it to recognize objects/faces/gestures/voices/music, etc. Finally, all AI students are trained to be academic professionals and need the academic and professional skills and mind-set that come with such positions.

People are conversing the possibility of intelligent learning and AI risks. Big companies such as Google, Amazon, Baidu, Microsoft etc. are investing billions in AI, and the AI-related job market is growing extremely rapidly.

PG Diploma in Artificial Intelligence covers the essential aspects of customary symbolic and sub- symbolic aspects. This One year with industry oriented program divided into Two semesters which offers wide-range of learning modules including machine learning techniques, IOT, neural network and fuzzy logic, computer vision, robotics, etc. with four credits each and with course structure meticulously designed which helps in developing extensive skill set suitable for further research, study and application development.

This course will introduce the basic principles in artificial intelligence research. It will cover simple exemplification schemes, problem solving paradigms, constraint propagation, and search strategies. Areas of application such as knowledge representation, natural language processing, expert systems and robotics will be explored. The LISP, PROLOG, PYTHON and R-Programming language will also be introduced.


Eligibility Criteria

A minimum aggregate score of 55% at the level of graduation in B.Sc.-IT/ B.E./B.Tech. or an equivalent degree with Mathematics as one of the main subjects of study completed from a recognized Institute or University.

Candidates waiting for their final year’s exam results can also apply for this course on a provisional basis.

Admission Details

  • Past academic credentials
  • Completion of Application Form including Statement of Purpose.
  • Entrance Test.
  • Personal Interview.

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