AI - Machine Learning, Deep Learning, Robotics & Python Programming

Program Fees: SGD 2100

Program Dates: February 2020 (5 days; 9 am to 5:30 pm daily. For Registration of interest further details & intimations, fill in the form at the end of this page).

Program Venue: Singapore, CBD

Program Overview

This program is for executives and professionals who want to learn about the game changing disruptive technologies of the 21st century like Artificial Intelligence (AI), Machine Learning, Deep Learning and Smart Robotics that are being adopted rapidly across industries and a large number of functional domains in these industries.
The program covers key concepts, applications across several domains and several use cases to illustrate how these technologies can increase efficiencies, trigger innovations and help to create competitive advantages. Participants also learn a structured, easy-to-learn programming language, Python, widely used for Machine Learning, Analytics & Website Development. 

Key Takeaways for Participants

1. Gain an understanding of the fundamentals and business applicabilities of disruptive technologies like Artificial Intelligence (AI) Machine Learning (ML), Deep Learning and Robotics.

2. Gain insights, through a variety of applications & use cases, about the disruptions, business models, decision support systems, projections and innovations that AI powered apps & systems can bring about in various functional domains of a corporation.

3. Understand the steps involved in the process of deploying AI based tools and models and also the specializations and skills needed to become an AI professional.

4. Python is one of the two most popular & widely used languages in the domains of Machine Learning and Data Science & Analytics. It is easy to learn, English-like & helps users to code quickly, thus improving productivity. Owing to its agile design and flexibility, enterprises use it for web development too.

 Faculty: Raja Mitra

Raja Mitra has significant operational & leadership experience in Operations, Marketing & Business Development, Project Mgmt. & Customer support for corps. like Bull, Olivetti, an IBM Subsidiary as well as for medium-sized enterprises & start-ups in APAC. 

His experience encompasses deploying Infocomm products & services in domains like Banking, Manufacturing & Distribution. Clients included HP, Oracle, Amex, State Bank of India, SMC Corp. & major publishing groups. In his leadership roles he had entered into partnerships with Microsoft & IBM ASEAN, on behalf of organisations he was working for.

Raja has a Masters in Business Management from IIM, Calcutta and a Bachelors in Engineering (B.Tech.) from IIT Kharagpur.
 Faculty: Dr. Sudipta Das
Dr. Sudipta Das graduated in Electrical Engineering and has subsequently done his Ph.D. in the same discipline, after doing his post-graduation in Control Systems.

He has several years of industry experience and is currently an Asst. Professor in the Department of Data Science for a private University, where, among various subjects, he has also been involved in teaching ‘R’ & Python.

He has a number of published papers in the domains mentioned to his credit and is a visiting scientist at the Indian Statistical Institute (ISI), involved in the areas of Statistical Quality Control & Operations Research. His research interests include Data Analytics, Stochastic Systems and Real-time systems.