Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Video and Text Based |
Course Overview
Artificial Intelligence and Machine Learning for Business is an Open Programme of the prestigious IIM-Ahmedabad. The course aims to introduce several methods from the domains of machine learning and optimization that can be used to make business decisions when the data amount is large. The objectives of the course are as follows:
- It trains the participants on handling both small and large amount of data and perform tasks such as predictive modelling and classification, which is useful in automating business operations decisions using data.
- It trains candidates on using important data analysis and optimization libraries that are available off-the-shelf.
- It offers an insight to candidates on how data-driven ideas are implemented to develop AI-technologies to enhance human potential and solve problems using machines.
The Highlights
- 6 days programme
- Interactive and experiential classes
- Unique teaching methodology to suit each participant
- Hands-on experience regarding real-life issues
- Certificate issued after completion of the Course
- Certificate from IIM - Ahmedabad
Programme Offerings
- Case Studies
- Live Lectures
- computer labs
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIM Ahmedabad (IIMA) |
The fees for the Artificial Intelligence and Machine Learning for Business course is :
Head | Fees in INR |
Programme Fees | Rs. 191250 plus GST |
| Discounted Fee | Rs. 177863 plus GST |
Eligibility Criteria
Work experience
Practicing managers mainly complete this Course
Education
Candidates need to have at least a bachelor’s degree
Certification Qualifying Details
Candidate’s degree needs to certify that he/she has sufficient exposure to mathematics and computing.
What you will learn
During IIM-Ahmedabad’s Artificial Intelligence and Machine Learning for Business Certification Training, candidates will be able to work on the following projects. After completion of the course, they would have mastered these projects.
- Candidates would be trained about a banking platform that can assess a customer’s credit worthiness and thereby, automatically make loan decisions
- Recommendation engine which can make recommendations, just by analysing the customer’s past purchases.
- Locations clustering for routing of vehicles to efficiently and effectively provide service to customers in diverse localities.
- Sentiment analysis engine which can make stock related decisions based on news headlines.
- Object detection model which can identify objects and persons in images and videos.
Who it is for
- Practicing managers
- Data Analysts
- Junior and middle level participants
Admission Details
In order to be admitted into IIM-Calcutta’s Artificial Intelligence and Machine Learning for Business Certification Course, candidates need to perform the following procedures in sequential order. Candidates need to fill up the nomination form available at the website, with the relevant information. The required documents will be then validated by the Faculty. After filling the nomination form, candidates need to make the payments through their sponsors either online or offline. If the nomination form is accepted, the candidate gets accepted into the Course, and if it is rejected, the payment is refunded.
The Syllabus
Instructors
IIM Ahmedabad (IIMA) Frequently Asked Questions (FAQ's)
The Executive Education Programmes at IIM-Ahmedabad is intended towards training practicing managers with managerial concepts and insights, along with strategy implementation in the functional areas.
The usual class size is about 20 to 40 candidates per programme.
IIM-Ahmedabad’s Artificial Intelligence and Machine Learning for Business Certification Course offers facilities like Case studies, Lectures, Computer labs and exercises.
The programme is best for practicing managers, data analysts, junior and middle level participants.