Special corporate enrolment pricing
The Certificate Program in Machine Learning & AI with Python is ideal for every professional, who understands linear algebra, calculus, and statistics and is a graduate with minimum one-year work experience.
Joining this program will be beneficial if you:
Note: Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total program hours.
Machine Learning and Visual Computing
Prof. Biplab Banerjee is currently working as an Assistant Professor at the Center of Studies in Resources Engineering (CSRE) and is an associated faculty at the Center for Machine Intelligence & Data Science (C-MInDS) at IIT Bombay. His research areas include advanced machine learning and deep learning with applications to computer vision. He has a Masters in Computer Science & Engineering from Jadavpur University (2010) and a PhD in Machine Learning from IIT Bombay (2015), respectively. He subsequently worked as a post-doctoral researcher at the University of Caen, France and the Istituto Italiano di Tecnologica in Italy. He is currently leading the Deep Learning in Computer Vision Research Group, consisting of several graduate and undergraduate students.
Prof. Kumar Appaiah is an Assistant Professor in the Department of Electrical Engineering. Before joining IIT Bombay, he was working in Qualcomm Research, New Jersey on problems related to visible light communication. He has over 15 years of experience with programming in Python and has built several numerical computing, web and general-purpose applications using Python and other programming languages. Prof. Kumar Appaiah is B.Tech and M.Tech from IIT Madras and has a PhD from the University of Texas at Austin.
Computer Science & Engineering
Prof. Preethi Jyothi has received a 2017 Google Faculty Research Award for her research on accented speech recognition. Before joining IIT Bombay in 2016, she was a Beckman Postdoctoral Fellow at the University of Illinois at Urbana-Champaign and received her PhD in Computer Science in 2013 from The Ohio State University on university fellowship. 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.
SYSTEM REQUIREMENTS TO ATTEND A LIVE ONLINE CLASSES
This programme includes live online classes. To attend a live online class you will need to have a PC/Laptop/Mac with
We use the Zoom software application to conduct live online classes. Zoom works on a variety of PCs/Laptops/Mac systems and also on phones and tablets. You can join your live online class from a phone or tablet if it supports the Zoom client. We recommend that you attend classes from a PC/Laptop/Mac.
Special pricing up to 10% discount is available if you enrol with your co-workers.