Special corporate enrolment pricing
Introduction to AI/ML
Supervised Learning Module 1
Supervised Learning Module 2
Guest Speaker #1
Supervised Learning Module 3
Supervised Learning Module 4
Optimization Module 1
Guest Speaker #2
Optimization Module 2
Optimization Module 3
Multi-Agent System Module 1
Guest Speaker #3
Agent-Based Models 1
Agent-Based Models 2
Multi-Agent System Module 2
Guest Speaker #4
Natural Language Processing Module 1
Natural Language Processing Module 2
Guest Speaker #5
Guest Speaker #6
Associate Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Bombay
Prof. Shivaram Kalyanakrishnan’s research interests include artificial intelligence and machine learning, spanning topics such as sequential decision making, multi-agent learning, on-line learning, and humanoid robotics. Kalyanakrishnan received a Ph.D. in computer science from the University of Texas at Austin. Subsequently he was a Research Scientist at Yahoo Labs Bangalore and an INSPIRE Faculty Fellow at the Indian Institute of Science, Bangalore. His contributions to robot soccer have received two Best Student Paper awards at the annual RoboCup competitions. Kalyanakrishnan was a member of the first study panel of the One Hundred Year Study on Artificial Intelligence (AI100), which in 2016 released its report titled “Artificial Intelligence and Life in 2030”.
Associate Professor at Indian Institute of Technology Bombay
Prof. Ankur Kulkarni received his B.Tech. from IITB in 2006, M.S. in 2008 and Ph.D. in 2010, both from the University of Illinois at Urbana-Champaign (UIUC). His research interests include game theory, stochastic decision theory, information theory, optimization and operations research. He has made fundamental contributions to game theory, team theory and issues of information in dynamic decision-making. He was an Associate (from 2015–2018) of the Indian Academy of Sciences, Bangalore, a recipient of the INSPIRE Faculty Award of the Department of Science and Technology, Government of India, 2013, Best paper awards at the National Conference on Communications, 2017, Indian Control Conference, 2018, International Conference on Signal Processing and Communications (SPCOM) 2018, Excellence in Teaching Award 2018 at IITB and the William A. Chittenden Award, 2008 at UIUC. He was a consultant to the Securities and Exchange Board of India on regulation of high frequency trading and is presently a consultant to HDFC Life Insurance Co. He has been a visiting faculty at MIT (USA), University of Cambridge (UK), NUS (Singapore) and IISc Bangalore.
Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Bombay
Prof. Preethi Jyothi’s research interests include machine learning applied to speech and language (with a focus on Indian languages) and multimodal learning applied to text and videos. Before moving to IITB in 2016, she was a Beckman Postdoctoral Fellow at the University of Illinois at Urbana-Champaign and she obtained her Ph.D. in computer science in 2013 from The Ohio State University where she was awarded a University Fellowship. She received a 2017 Google Faculty Research Award for research on accented speech recognition. Her work on statistical learning methods for pronunciation models and probabilistic transcriptions received Best Student Paper Awards at Interspeech 2012 and ICASSP 2016, respectively.
We currently do not offer Student Loans for this program. However, we are working on providing an option and will alert you as soon as it is made available.
Special pricing up to 10% discount is available if you enrol with your co-workers.