The Birla Institute of Technology and Science (BITS), Pilani, has launched MTech in Artificial Intelligence (AI) and Machine Learning (ML). The program aims to help working professionals address current and future AI potential in key sectors and thereby their career aspirations with various AI and ML related roles. It was launched by the Institute’s The Work Integrated Learning Programs (WILP) department.
The program aims to help professionals increase their conceptual understanding and practical knowledge of various traditional and contemporary AI and ML techniques, including deep learning and reinforcement learning, AI application areas, such as natural language processing, computer vision, robotics and cybersecurity; software implementation and associated system support with applications beyond data science.
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Covering a wide range of skills and knowledge areas, the four-semester program helps various technology professionals advance their careers, as potential ML engineers and AI scientists in the future, the institute said. The last date to apply for admissions to MTech’s Artificial Intelligence and Machine Learning program is September 12.
Prof Anita Ramachandran, Head of WILP’s Computer Science and Information Systems Group at BITS Pilani, elaborates on the value proposition of the MTech in AI & ML program, saying: “The core and elective sequence of this program has been carefully designed in such a way that it helps in the comprehensive development of skills and knowledge for a learner, for example, the program addresses the fact that the ML engineers should not only be familiar with algorithms, such as supervised deep learning, unsupervised and reinforcement learning, but also AI application areas , such as natural language processing, computer vision, robotics and cybersecurity, while staying on top of the leading research in the field.”
“In fact, the program aims to help a student gain a better understanding of the software engineering requirements for deploying ML systems on large data sets and in resource-constrained environments — all while addressing the underlying ethical concerns with applying AI and ML are being monitored,” Prof Ramachandran added.
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