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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekends

Course Overview

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 Highlights

7-month course duration
Live online sessions
Flexible payment options
Beginner-friendly
Top-class faculty from IIM Jammu
Industry-centric curriculum
Certificate of merit and completion available
Capstone projects for industry exposure
Hands-on learning with R/Python

Programme Offerings

Industry-oriented curriculum
Flexible Payment Options
Faculty from IIM Jammu
Certificate of Merit
Certificate of completion

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIM Jammu

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

Admission Details

Visit the course page - https://eruditus.com/programmes/iimj/executive-programme-in-machine-learning-ai-for-business/.
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

ML Pipeline
Production Environment
Model Deployment

AI and ML Strategy

IIM Jammu Frequently Asked Questions (FAQ's)

1: What are the analytical tools that I will be using?

You will get hands-on learning using analytical tools such as Python, Tableau, and R.

2: What are the criteria to receive the certificate of completion?

To receive the Executive Programme in Machine Learning and AI for Business certification of completion, you must have a minimum attendance of 60% and satisfactory academic performance.

3: Who are the instructors for the course?

The instructors for the course belong to the faculty of IIM Jammu – Prof. Abhishek Srivastava and Dr. Minakshi Kumari.

4: Can I pay the fee flexibly?

Yes. You can pay the course fee in EMIs.

5: How can I get more programme info?

Fill the programme info form by the link, https://eruditus.com/programmes/iimj/executive-programme-in-machine-learning-ai-for-business/ and talk to one of the course advisors.