Executive Education Programme (30 contact hours)

Artificial Intelligence and Machine Learning for Business

Faculty Chair: Prof. Ankur Sinha

Introduction

This programme is a mix of data analytics and optimization tools, and primarily covers the recent developments in the area of machine learning. It will have a strong focus on applications and working of the algorithms so that the participants get a thorough insight in the field of data science. The programme takes a practice-based approach for teaching concepts and tools that are needed for making data driven decisions in business. The participants in this course are expected to have a strong quantitative background to be able to finish the course successfully.

Upcoming (March 2021 Schedule)

March 2021 Schedule

Objectives

The objective of the course is to introduce various methods from the domains of machine learning and optimization that will be useful to make business decisions when faced with large amount of data. The objectives of the course are as follows:

  • Train the participants on handling both small and large amount of data and perform tasks such as classification and predictive modeling. The training will be useful in automating business operations decisions with the use of data.
  • Train the participants on using important data analysis and optimization libraries that are available off-the-shelf.
  • Give an insight to the participants on how data-driven ideas are being used to develop artificial intelligence technologies to enhance human potential and solve challenging problems using machines.

Content

Following are the concepts that will be covered during the programme.

  1. Introduction to Python
  2. Classification Techniques
  3. Clustering Techniques
  4. Recommender Systems
  5. Neural Networks
  6. Deep Learning
  7. Text Mining
  8. Applications of Analytics in Business
Prior preparation

A three-hour Python video tutorial customized for the participants will be shared before the start of the programme.

Applications

Following are the products that the participants will be trained on building during this programme:

  1. A platform that assesses the credit worthiness of banking customers and automatically makes loan decisions.
  2. A recommendation engine that identifies customer characteristics and makes recommendations based on their past interactions
  3. Location clustering for routing of vehicles to efficiently provide service to customers in diverse localities
  4. Sentiment analysis engine to make buy, sell and hold decisions for stocks based on the business news headlines
  5. An object detection model capable of identifying objects and persons in images and videos.

The code/models/datasets for all the above products will be shared with the participants during the programme.

Teaching Faculty

Teaching Faculty

Programme Fee

INR 98,000 plus GST per person for participants from India and its equivalent in US Dollars for participants from other countries.

Participants' Profile

The programme will be targeted towards participants and organizations that are looking to build expertise in data science and intend to utilize machine learning tools for their data analysis needs. The cohort will be a mix of junior and middle level participants with at least a bachelor’s degree. The bachelors or higher degree should have provided sufficient exposure to the participants on mathematics and computing.

Following is the September 2020 cohort that participated in the recent offering of the programme

title

Row – 1 (Left to Right)
  • Manali Shah (IIMA), Prof. Pekka Malo (Aalto University, Finland), Prof. Tathagata Bandyopadhyay (IIMA), Prof. Ankur Sinha (IIMA), Prof. Diptesh Ghosh (IIMA), Prodipta Ghosh (QuantInsti), Abhishek Tripathi (Perfios), Ashutosh Rajput (IIMA)
Row – 2 (Left to Right)
  • Samarjeet Singh (General Manager, Incubit Global Business Services), Sathish Kumar Dayalan (CEO, ViriTran BizTech Consultants), Satya Mohan Yanambaka (CEO, Writer Business Services Limited), Sonal Mudaliar (Assistant Vice President, HDFC Bank), Sudipta Saha (Assistant Consultant, Tata Consultancy Services), Sukhinder Singh Thapar (Director, Games 24x7), Sumit H Shah (Executive Director, Madhu Jayanti Internation), Tapan P Joshi (Independent Advisor, SAP Practice Head), Tejas Kulkarni (India Sales Strategy & Operations, Google India), Vijaya Kumar Manogaran (Project Manager, Volvo Group India), Yasir Shafi Reshi (Pre Sales Lead, Tech Mahindra)
Row – 3 (Left to Right)
  • Gaurav Jain (COO, Birla Estates), Gulshankumar Bhagchandani (Manager Global Network Operations, Arrow Electronics), Harsh Mody (Founder & CEO, Inspired AI), Keerthana Suryaprakash (Junior Manager, JSW Steel), Koustubh Dutta (AVP Learning & Development, IIFL Securities), Kumarpal Jain (AVP, Adapt Fintech), Kurakula Uday Kumar (Manager, Novartis Healthcare), Neelkant Rawal (SVP Digital Platforms, HSBC Singapore), Pratik Pednekar (Software Development Engineer, McAfee), Prerana Gerela (Head Operations, HSBC Mumbai), Roy Varghese (IT Analyst, Hamad medical corporation Doha), M K Yadav (CMD, Ripple Effect Learning Solutions)
Row – 4 (Left to Right)
  • Yogendra Kumar Bharti (VP Technology, Margdarshak Financial Services), Ajay Kumar Mishra (Associate Engineer, Ericcson India Global Services), Akhilesh Gowravajhala (Lead Engineer, Target Corporation India), Ami Mistry (Head IT and Customer Centricity, Birla Estates), Amit Jambhekar (Founder, A J Consultancy Services), Arden McDonald (Head of Transformation, HSBC), Balakrishna Prasad Kasanagottu (Development Manager, SumTotal Systems India), Bhishma Gajavelli (Senior Manager, Signify), Dhiraj Kumar (Owner & President, EAIVision), Dhivya Devamani (Self Sponsored, Singapore), Dr. RVVS Sateesh (Assistant Director, Ernst and Young), Lakshmikanth Hari (Assistant Professor, K J Somaiya Institute of Management)

Online Registration and Further Information

Follow the following link for online registration: https://web.iima.ac.in/exed/programme-details.php?id=ODA5

For any query on programme content, please contact: Prof. Ankur Sinha (asinha@iima.ac.in)

For any administrative support, please contact: Ashutosh Rajput (ashutoshr@iima.ac.in)