IIM Jammu’s Executive Programme in Machine Learning and AI for Business course is a 7-month course focused on enhancing customer-centric business growth by employing technologies such as Machine Learning and Artificial Intelligence. The curriculum is industry-centric, offering actionable insights into ML and AI, taught by the leading faculty of IIM Jammu.
The Executive Programme in Machine Learning and AI for Business course syllabus includes capstone projects for industry exposure and live online sessions conducted every Saturday - 9:00 PM to 12:00 PM. Two kinds of certificates are available – the certificate of completion will be awarded to learners who meet the minimum attendance criterion (60%) and show satisfactory academic performance, a certificate of merit to learners who perform exceptionally well
However, all participants who successfully complete the Executive Programme in Machine Learning and AI for Business training programme will be eligible for the esteemed IIM Jammu Executive Alumni Status. The course is beginner-friendly, so if you are a graduate or Diploma holder, you can apply.
The original Executive Programme in Machine Learning and AI for Business course fee is Rs. 80,000 + GST.
Special corporate enrolment pricing is available.
Executive Programme in Machine Learning and AI for Business course fee structure
Fee Type
Fee Amount (in INR)
Programme fee
Rs.80,000
Eligibility Criteria
To meet the Executive Programme in Machine Learning and AI for Business course eligibility criteria, you need to be a graduate (10+2+3) or a Diploma holder (10+2+3) in any discipline from a recognised university. No prior experience is needed to enroll.
You will be eligible to receive the certificate of merit if your academic performance is exceptionally good and the certificate of completion if you meet the minimum attendance criteria of 60% and show satisfactory academic performance.
What you will learn
Machine learningKnowledge of Artificial Intelligence
Once you have completed the Executive Programme in Machine Learning and AI for Business online course, you will be able to –
Leverage AI’s cognitive abilities to make data-driven decisions
Adapt to changing customer needs and modify your business strategies accordingly
Define, identify, design, implement, and monitor AI concepts through a capstone project
Recognise the impact of AI on various business functions
Understand the fundamentals of AI and ML, Statistical learning, and its business applications in various industries
Understand the limitations, opportunities, and applications of AI in businesses
Interact and contribute to the deployment and development of AI-based projects
Fill out the Programme info form to download the brochure.
You will receive a call from one of the programme advisors. You can schedule the call based on your convenience.
Fill in the application form.
Make the required fee payment and enroll.
Application Details
The simple application form you need to fill to enroll for the Executive Programme in Machine Learning and AI for Business course will ask you details such as your Full Name, Email Address, Mobile Number, etc. Fill out the application and make the fee payment to reserve a seat.
The Syllabus
Investigating Business Problems and Modelling
Fundamental of Statistical Learning
Sampling and Estimation
Hypothesis and Testing
Analysis of Variance
Descriptive Analytics Using R and Python
Statistical Learning Using R and Python
Data Visualisation with Tableau
Supervised and Unsupervised Machine Learning
Linear and Logistic Regression
Decision Trees
Random Forest
Support Vector Machine
Clustering
Personalisation (Recommendation Systems)
Neural Networks
Big Data Ecosystem
Big Data Leadership
Big Data Strategy
Marketing Applications
Application of machine learning in marketing and customer analytics
Building predictive models: Sales Prediction and Price Prediction, Customer profitability and Customer Lifetime Value
Finance Applications
Financial Time series - Introduction & Diagnostics
Forecasting with ARIMA
Operations Applications
Analytics for Distribution and Network Models Design
Risk Analytics in Operations Management: Decision Making Under Uncertainty
HR Applications
HR Dashboarding with Power BI
Machine learning and AI to analyse human behaviour and emotions