Post Graduate Program in Machine Learning

India’s Most Exhaustive Machine Learning Program

Post Graduate Program in Machine Learning

Weekend Classroom | Online Mentorship
  • Bangalore
  • Chennai
  • Hyderabad
  • Gurgaon
  • Pune
  • Mumbai
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Application deadline 20th Dec 2018

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Why Join PGP-ML?

Top-ranked faculty

Great Lakes faculty have been ranked amongst India’s top 10 Data Science and Machine Learning faculty. Our faculty have significant industry experience and are alumni of marquee institutions such as Harvard, Stanford, Kellogg, University of Chicago, IIMs, and IITs.

Flexibility of learning in class or online

In the classroom format, 120 hours of the program is delivered through classroom lectures by our distinguished faculty that happen one weekend every month. In the online format, you learn from lecture videos coupled with weekly online mentorship sessions with ML experts in small groups.

Learn by doing

The program follows a rigorous hands-on approach where participants have to work on several real-life business problems, case studies, mini projects and capstone project. Every candidate also gets a mentor who provides guidance and mentorship for the capstone project.

Corporate partnership & industry exposure

The program gives the participants an opportunity to learn from some of the industry’s leading minds in Machine Learning. Industry experts participate in guest lectures, case studies and mentor candidates in their capstone projects to ensure a thorough understanding of what’s happening in the industry.

PGP-ML Learning Experience

Machine learning is one of the most exciting careers to build right now. There is a high demand for Machine Learning professionals in the industry but it is crucial to have relevant skills, exposure and academic pedigree to be able to capitalise on these opportunities. The PGP-ML program enables candidates to make this transition to high-growth careers in Machine Learning, Deep Learning and Data Science.

Innovative approach

Our program offers a learning environment that causes minimal disruptions to your work schedule. In both the classroom and online formats sessions are conducted during the weekends and are assisted by online webinars, discussions and assignments for holistic learning. For every assignment, you will also get the model solution as a recorded walkthrough.

Industry-relevant curriculum

A comprehensive program that combines Data Science, Machine Learning and Deep Learning to prepare candidates for the roles of Data Scientists, Machine Learning Engineers & Architects, Technology & Solution Architects etc. The program uses a combination of learning from distinguished faculty, industry ML experts and real-life projects to enable this.

Hands-on projects & ePortfolio

Throughout the program, candidates would be working on multiple mini-projects, capstone project and hackathon. All this hands-on work gets captured in every candidate’s Machine Learning ePortfolio. This ePortfolio is verified by Great Lakes and is a shareable document that our participants use to indicate their expertise and exposure in Machine Learning.

Peer Learning

The PGP-ML class consists of working professionals from excellent organizations and backgrounds with diverse experiences across industries and roles. As a participant, interactions with such a peer group will enhance your learning experience.

Delivery Formats

Weekend Classroom | 7 month
  • 120 hours of weekend classroom sessions, one weekend every month for 7 months
  • Additional 100+ hours of online learning including self-learning content, reading material and projects
  • 4 hands-on projects and 1 capstone project under the guidance of a mentor
  • Participate in Great Learning's Machine Learning Hackathons
Online Mentorship | 7 month
  • Learn from 50+ hours of online video content from top Machine Learning faculty
  • 2 hours of online mentorship sessions with ML experts every weekend to clear doubts and case study walk-throughs
  • 4 hands-on projects and 1 Capstone project under the guidance of a mentor

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Machine Learning.


The program curriculum has been created in collaboration with some of the brightest minds in Machine Learning.

  • Statistical analysis
  • Descriptive statistics
  • Probability and Bayes theorem
  • Probability distributions
  • Hypothesis testing & scores
  • Python Overview
  • Pandas for pre-processing and exploratory data analysis
  • Numpy for statistical analysis
  • Matplotlib and Seaborn for data visualization
Machine learning module
  • Linear Regression
  • Logistic regression
  • K-NN classification
  • Naive Bayesian classifiers
  • Support Vector Machines
  • Decision Trees
  • Bagging
  • Boosting
  • Random Forests
  • Stacking
  • K Means clustering
  • Hierarchical clustering
  • Principal Component Analysis
  • Feature extraction
  • Model defects & evaluation metrics
  • Model selection and tuning
  • Comparison of machine learning models
  • Collaborative filtering
  • Content based filtering
  • Hybrid recommendation systems
  • Performance measurement
  • Fundamentals of neural networks
  • Tensorflow and Keras
  • Convolutional Neural Networks
  • Evaluation of Deep Learning models

Capstone - The Cornerstone

The Capstone project is the seminal project that has to be done by every candidate and captures the entire learning in the program. The projects are co-created with industry experts and represent challenges and problems similar to the ones the industry solves using Machine Learning. Through the capstone project, candidates are able to experience an end-to-end problem solving experience in Machine Learning. All capstones projects are mentored by Industry experts or Great lakes faculty and the candidates are required to present their capstone projects to an evaluation committee at the end of the program.

Here are few of the recent capstone projects done by our participants in Machine Learning:


Sentiment Score from Reviews of Amazon Products


Behavioral Pattern Recognition of Multilayer Online Role-Playing Game Players

Music App Industry

Music Data Analysis (Recommendation and Prediction)

India’s Best Machine Learning Faculty

The faculty pool of the program consists of leading academicians in the field of data analytics along with several experienced industry practitioners from leading organizations.

Corporate Partners

The PG Program in Machine Learning is created and delivered in collaboration with an impressive array of Corporate Partners, who contribute to making this program industry-oriented through practical instruction, real-world case studies and expert mentorship.

Career Support

Personal career coach

We will be providing you a career coach in the program, where in the candidate will get access to career mentoring depending upon his experience and industry. These coaches are either working in analytics for long or have made a successful transition to analytics role in the recent past and so the candidate will benefit immensely from his/her guidance on how to build a career in analytics in his/her industry.

ePortfolio & resume building sessions

We organize all your mini projects and capstone project into your ePortfolio, a highly shareable and succinct summary of your body of work. Resume building sessions ensure that your resume reflects the attributes that most recruiters and hiring managers look for when hiring for analytical job roles. They help you highlight aspects of your professional experience that are most important for analytics

Interview preparation workshops

During the interview preparation workshops, we discuss commonly asked questions that help you make the most of the interview opportunities you will encounter. During the interview skills development workshop, you will learn how to use your ePortfolio in the most impactful manner to describe your skills set and employability.

Great Learning job board

As a PGP-ML participant, you get to access the Great Learning Job Board during and after you have graduated from the program. Our team posts round 30-40 job opportunities each month for our candidates. We also have tie-ups with 200+ organizations that are looking to build their analytical capabilities and all this information is timely posted on the job board for our learners and alumni to act upon.

Alumni Success Stories

Admission Details


  • done Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
  • done Should also be comfortable using at least one programming language and be familiar with college-level mathematics and statistics (For candidates who do not know Python, we offer a free pre-program tutorial).

Selection Process

Step 1

Fill application form

Apply by filling a simple online application form.

Step 2

Application review

Admissions committee will review and shortlist.

Step 3

Personal interview

These candidates will be invited for an interview and an offer will be made to the selected applicants.

Fee for Classroom Mode

2,25,000 + GST
Admission Fee Created with Sketch. 50,000
1st Installment Created with Sketch. 58,333
2nd Installment Created with Sketch. 58,333
3rd Installment Created with Sketch. 58,334
Total Created with Sketch. 2,25,000

Fee for Online Mode

1,25,000 + GST
Admission Fee Created with Sketch. 50,000
1st Installment Created with Sketch. 25,000
2nd Installment Created with Sketch. 25,000
3rd Installment Created with Sketch. 25,000
Total Created with Sketch. 1,25,000


Candidates can pay the program fee through

Net Banking
Credit/Debit Cards
Cheque, DD

Financial Aid

We have partnered with leading banks and NBFCs through which participants can finance the course by taking up an education loan. Participants can also avail a 0% interest loan through our corporate partnerships. Please contact the admissions team for more information on financial aid that you can avail.

Batch Start Dates


To be announced


January 2019


January 2019


21st Dec 2018


To be announced


January 2019


December 2018

Upcoming Application Deadline

20th Dec 2018

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now