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    Course Details

    MODE

    Full time

    DURATION

    24 Months

    The Artificial Intelligence market size is expected to reach 65.48billionby2020.Accordingtotheprojectionsmadefortheyear2030,thisvalueistoreach1,581.70 Billion, increasing at the rate of 38.0% of CAGR from the year 2021 to 2030. AI has almost become synonymous with the future of technology. With AI outperforming human efforts, organizations are opting for AI more and more to increase efficiency and slash down costs in the long run. AI along with Big Data, ML, and NLP are ranked 2nd amongst the top tech priorities for 2021-2 according to NASSCOM Tech CEO Survey 2022.

    Across all industries, there is a growing need for intelligent and accurate decision-making systems. As a result, AI and ML technologies have seen exponential growth, and they are likely to remain relevant for many years to come. Machine Learning is a subset of Artificial Intelligence that aids programs advance their prediction precision by utilizing old databases. Artificial Intelligence has already begun showing its effects in the form of convenience that it has provided humans with. The main focus of AI and ML is to create machines and programs that have problem-solving skills and goals like human beings. The scope of AI and ML lies in the industries of technology, financial services, military, and national security, gaming, agriculture, healthcare, and many more.


    Eligibility Criteria

    The Applicant should have passed BCA / Bachelor Degree in Computer Science Engineering or equivalent Degree. OR passed B.Sc./ B.Com./ B.A. with Mathematics at l0+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University). Obtained at least 50 % marks (45 % marks in case of candidates belonging to reserved category) in the qualifying Examination.

    In addition to the above, the Applicant must pass both an entrance exam and a personal interview as per the University requirements.

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