In a transformative move, the prestigious Indian Institute of Technology (IIT) Kharagpur has announced a comprehensive and Free AI and ML Course. This initiative reflects a commitment to democratizing education in cutting-edge fields and equipping learners with essential skills in the realms of artificial intelligence (AI) and machine learning (ML).
Guiding participants through this intellectual journey is Professor Swanand Khare, an accomplished academician with a rich academic background. Holding both an MSc and PhD from IIT Bombay, Professor Khare currently serves as an Associate Professor in the Department of Mathematics and contributes to the Centre of Excellence in AI at IIT Kharagpur. His expertise in the subject matter is underscored by the recognition he received the Excellent Young Teacher Award in 2018 from IIT Kharagpur.
While the course is open to anyone eager to delve into the intricacies of AI and ML, it is particularly tailored for senior undergraduate and postgraduate students. The targeted domains include computer science and engineering, electrical engineering, electronics and communication engineering, artificial intelligence, and mathematics. Recognizing the interdisciplinary nature of AI and ML, the course aims to provide a holistic understanding that transcends traditional academic boundaries.
To ensure participants can derive maximum benefit from the course, a prerequisite is outlined. Enrollees are expected to have completed a course in engineering mathematics with some exposure to linear algebra. This requirement sets the stage for a more profound engagement with the material, allowing learners to grasp the nuances of mathematical foundations crucial to AI and ML algorithms.
The 12-week course is structured to impart insights into essential topics that form the bedrock of AI and ML. These include vectors, operations on vectors, vector spaces, subspaces, inner product, vector norm, linear dependence and independence, matrices, linear transformations, orthogonal matrices, system of linear equations, LU decomposition, and computational complexity, among others. The comprehensive coverage reflects the commitment to building a strong mathematical foundation, empowering participants to navigate advanced studies or research in the dynamic field of AI and ML.
A notable feature of this initiative is the award of three credit points upon completion of the course. This not only signifies the rigor and depth of the curriculum but also holds academic value for students looking to augment their academic transcripts with expertise in AI and ML. The academic recognition associated with the course adds a layer of credibility and acknowledges the dedication of participants in mastering the subject matter.
Enrolling in the course is a straightforward process, with interested individuals required to register on the official website before January 29, 2024. The course is set to commence on January 22, 2024, offering a flexible schedule for learners. As a testament to the commitment to transparency and skill validation, participants have the option to obtain an e-certificate bearing the logos of NPTEL and IIT Kharagpur. This certification, though optional, provides tangible evidence of the learner's dedication and accomplishment. To earn the certificate, participants must successfully complete an examination scheduled for April 28, 2024, with registration for the exam closing on February 16.
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