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
Apply Now
Application deadline 24th Jan 2019

Academic Partner

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
  • 8 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
  • 8 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.

Curriculum

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

Foundations
  • 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:

E-commerce

Sentiment Score from Reviews of Amazon Products

Finance

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 - GL Excelerate

As a participant in the Great Learning's program, GL Excelerate helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job.

Exclusive recruitment drives

Attend Great Learning job fairs organised every 2 months across cities. Participate in our recruitment drives with top tech companies looking for professionals like you.

Access to curated jobs

Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 200+ organisations, who’ll recommend the right jobs for you.

Interview preparation workshops

Familiarise yourself with commonly asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your skills and improve your chances of getting hired.

Personalised career mentorship

Get an expert career mentor personalised to your experience and industry, who will help you navigate your path to career success. Get guidance on choosing the right opportunities, building a great CV and much more.

Organizations Participating in Recruitment Drives

Alumni Success Stories

Admission Details

Eligibility

  • 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
Installments
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
Installments
Admission Fee Created with Sketch. 25,000
1st Installment Created with Sketch. 33,334
2nd Installment Created with Sketch. 33,333
3rd Installment Created with Sketch. 33,333
Total Created with Sketch. 1,25,000

Payments

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
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

Bangalore

February 2019

Mumbai

February 2019

Chennai

25th Jan 2019

Gurgaon

1st Feb 2019

Hyderabad

February 2019

Pune

25th Jan 2019

Online

To be announced

Upcoming Application Deadline

24th Jan 2019

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

Frequently Asked Questions

The post-graduate program in Machine Learning is a hands-on program designed for technology professionals. The eligibility criteria are as follows:
  • Graduate with a minimum of 50% marks or equivalent
  • Familiarity with college-level mathematics and statistics
  • Comfortable with Programming
The PGP-ML program is available in 2 formats - Classroom based learning and Online Learning with Mentorship.
  • For the classroom format, classes will be held on one weekend each month for the 7 months coupled with Online Reading Material.
  • For the online format, mentored online sessions will be held on either a Saturday or a Sunday every weekend.
Since this program is designed for technology professionals looking to work hands-on with a range of machine learning techniques most valued by the industry, you should be comfortable with programming. This may be in any programming language and not necessarily in Python, but having experience in Python is an added plus. For candidates who do not know Python, we offer a free pre-program tutorial.

The blended format of the program consists of about 220 hours of active learning – nearly 120 hours of classroom sessions (one weekend a month) that include hands-on exploration of the tools and techniques and the rest a combination of online learning, practical lab assignments and projects.

The online format of the program consists of 50+ hours of online video content from top ML faculty along with 2 hours of online mentorship sessions with ML experts every weekend to clear doubts and project assistance.

Please check the Batch commencement dates above under the 'Deadlines' section.
The classes for New Delhi, Hyderabad, Chennai, Bangalore, Mumbai & Pune will be held at their respective Campuses/Centers in the city.
Yes. The Certificate for the Post-Graduate Program in Machine learning will be awarded by Great Lakes Executive Learning.
Yes. Classroom sessions are delivered by Great Lakes faculty in conjunction with technology specialists with decades of Advanced Analytics and Machine learning expertise. Industry stalwarts who apply machine learning tools and techniques everyday will contribute to your learning outcomes through industry sessions, case studies and project support.
Not at all. All required content are included in the program fee and available at any time during (and after completion of) the program. You are welcome to purchase additional material for your own reference on faculty recommendation.
Yes. We believe that learning is continuous and hence all learning material – lecture notes, online content and supporting material – will be available through the online platform for one year after completion of the program. If you require extended access, please reach out to the program team.
PGP-ML is a holistic and rigorous Program and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports.
We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at pgpml@greatlearning.in.
The career support activities at Great Lakes’ post graduate program in Machine Learning begin with helping candidates prepare for advanced analytics and machine learning careers through sessions conducted by industry experts. We also provide our candidates and alumni with access to any opportunities that partner companies share with us.
You are invited to apply using our online application form. Our admissions panel evaluates all applications and you will be invited to an interview (in-person, telephone or video) if you are shortlisted. Admissions occur on a rolling basis, so you are encouraged to apply early if you’re interested.
If you are interested in the Program, you can apply through the online application form. If you need assistance, please write to us at pgpml@greatlearning.in.
Online access to the lab will be provided at the start of the program. You can get access to various tools and libraries using the lab environment.
Great Lakes PGP-ML Program has tie-ups with HDFC Credila, Avanse Education (DHFL Group), and Zest Money for providing education loans.
All the candidates will be analyzing a real world problem using a range of tools & techniques that they have learned in class. The candidates will be also given access to online Labs which will help them during the project. The duration of the project is 3-4 months.
Yes, once admitted, you will receive a programming refresher (online) on Python. We strongly recommend that you complete these introductory online courses so that you are ready from day one of the program.
The candidates need to bring their own laptops; the technology requirement shall be shared at the time of enrolment.