Given the rise in demand for AI professionals in India, it is evident that educational institutes will offer unique curated courses around AI & machine learning. Eligibility criteria is Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects and obtained at least 60% marks (55% in case of SC/ST category) in the above subjects taken together. The intake will happen through IIT-JEE Advanced starting academic year 2019-2020. • Admissions to the B Tech Programme would be made on the basis of Joint Entrance Examination JEE. B.Tech in Computer Science (Artificial Learning and Machine Learning) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence. in Artificial Intelligence and Robotics, To develop professionals who are skilled in the area of AI and machine learning, To impart quality and value-based education and contribute towards the innovation of computing, expert system, data science to raise the satisfaction level of all stakeholders. Intake Through: Direct Admission (University Test). in AI. She writes Tech/Business articles for Analytics Insight. Students awaiting results can also apply on provisional basis. Eligibility: Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects and obtained at least 60% marks (55% in case of SC/ST category) in the above subjects taken together. in Computer Science and Technology (Artificial Intelligence), Amrita Vishwa Vidyapeetham - B. It teaches you to examine logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning and learn about state-of-the-art technologies like Deep Learning, Human Computer Interaction and Augmented Reality. in Computer Science & Engineering with specialization in AI & Machine Learning in collaboration with Xebia. AI professionals are getting 60-80% hikes while switching jobs, compared with an average of 20-30% in other skill areas. It is powered by the disruption in the … Therefore, CT University offers B Tech in Computer Science Engineering (specialization in Artificial Intelligence and Machine Learning (AI&ML)), Eligibility: Pass with 50% aggregate marks in 10+2 With English, Physics, Mathematics as compulsory subjects or equivalent along with Chemistry/Biotechnology/Computer Science/Biology as a third science subject from recognized board. How Augmented Analytics is Better Than Regular Analytics in Reorganizing HR? in Artificial Intelligence and Robotics Also see: List of participating colleges in JEE Main Students who are interested in the field should also take … and different Minor Programs in AI. Her creative work can be confirmed @analyticsinsight.net. International students can apply directly to the college. Tech. Moreover, the R&D will be strongly entwined with academics,” Prof U.B. B.Tech in Artificial Intelligence is a sub-domain of Computer Science (Artificial Learning and Machine Learning) courses. Launched in May 2019, the B tech programme by GH Raisoni College of engineering, Nagpur aims to: GHRCE director Preeti Bajaj told a leading national daily, “In the past two years, Indian companies are investing high on using AI. in Artificial Intelligence is well known as B.Tech. • Direct Admission to NRI / Industry Sponsored candidates. To apply new advancements in high-performance computing hardware and software. The average marks obtained in the subjects Physics, Chemistry and Mathematics (PCM) in +2 (or its equivalent) put together should be 50% for candidates belonging to SC/ST & North-Eastern States. Top 7 Benefits of Robots in the Workplace, Guavus to Bring Telecom Operators New Cloud-based Analytics on their Subscribers and Network Operations with AWS, Baylor University Invites Application for McCollum Endowed Chair of Data Science, While AI has Provided Significant Benefits for Financial Services Organizations, Challenges have Limited its Full Potential.
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