India’s Most Exhaustive Machine Learning Program

PGP - Machine Learning in Pune

Weekend Classroom | Online Mentorship
  • Pune
  • Online
Apply Now
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Academic Partners

  • UT Austin University Logo
  • Great Lakes Logo

Why Join our PG Machine Learning Course in Pune?

Top-ranked faculty

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

Great Learning online class
The Flexibility of learning in class or online

In the classroom format, 120 hours of machine learning course is presented through classroom lectures by our exceptional faculty that occur one weekend every month. In the online format, you acquire knowledge from lecture videos copulated with weekly online mentorship sessions with Machine Learning masters in small groups.

Great Learning learn by doing
Learn by doing

The Machine Learning Course in Pune follows an austere hands-on approach where members ought to work on several real-life business puzzles, case studies, mini projects, and capstone project. Each candidate also receives a guide who provides supervision and mentorship for the capstone project.

Great Learning industry exposure
Corporate partnership & industry exposure

The Machine Learning program allows the participants to learn from many 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 make sure that they acquire a thorough understanding of what’s happening in the industry.

PG Machine Learning Course Learning Experience

Machine learning is one of the best careers to build at present. There is a tremendous market for Machine Learning experts in the industry but it is critical to hold experience in performing machine learning techniques, possess relevant skills, exposure and academic pedigree to be able to obtain on these opportunities. The PG Machine Learning program in Pune boosts candidates to make this transition to high-growth careers in Machine Learning, Deep Learning and Data Science.

Great Learning innovative approach
Innovative approach

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

Great Learning industry relevant
Industry-relevant curriculum

A complete Machine Learning program that combines Data Science, Machine Learning and Deep Learning to assist candidates for grabbing various job roles like Data Scientists, Machine Learning Engineers & Architects, Technology & Solution Architects, etc. The course uses a combination of learning from distinguished faculty, industry Machine Learning experts and real-life projects to enable this.

Hands-on projects & ePortfolio

Throughout the course, candidates would be operating on several mini-projects, capstone projects, and hackathon. All this hands-on work gets apprehended in every candidate’s Machine Learning ePortfolio. This ePortfolio is verified by Great Lakes and is a shareable record that our participants use to showcase their expertise and exposure in Machine Learning.

Great Learning talent pool
Peer Learning

The PG Machine Learning course class is comprised of working professionals from world-class organizations and backgrounds with distinct experiences across various industries and roles. As a participant, interactions with such a peer group will enhance your learning experience.

India's Most Exhaustive Machine Learning Course

Classroom | Online

Delivery Formats

Great Learning unique learning
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
Great Learning online mode
Online Mentorship | 7 month
  • Learn from 50+ hours of online video content from top Machine Learning faculty
  • 2 hours of online mentorship sessions with Machine Learning 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

Dual Certificate & ePortfolio

Receive a Great Lakes certificate and build an ePortfolio to display 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.

Great Learning - Machine Learning Certificate
UT Austin - Machine Learning Certificate
Great Learning Academic ePortfolio of Machine Learning alumnus Rajesh Mohan


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

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

Capstone - The Cornerstone

The Capstone project is the crucial project that has to be fulfilled by every candidate and apprehends the complete learning in the course. The projects are co-created with industry experts and represent trials and problems alike the industry solves using Machine Learning. Through the capstone project, candidates can experience an end-to-end problem solving expertise in Machine Learning. All capstones projects are supervised by Industry experts or Great lakes faculty and the candidates are obliged to submit their capstone projects to an evaluation committee at the end of the course.

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


Sentiment Score from Reviews of Amazon Products

This project involves building a machine learning model which can predict the sentiment score from the text available in Reviews dataset from Amazon website.

Extract suitable features from the unstructured text and apply the machine learning model to get the sentiment score to understand people’s sentiments, attitudes, or emotions towards certain Amazon product.

Tools & Techniques

Python, Feature Selection or Extraction, Sentiment Analysis, Text Analytics


Amazon Review Dataset


Behavioral Pattern Recognition of Multilayer Online Role-Playing Game Players

Behavioral Pattern Recognition of Multilayer Online Role-Playing Game Players using Machine Learning and artificial neural networks

The project involves identification of potential customers for the personal loan product of a bank. Ensemble modeling techniques are leveraged to predict the propensity of a prospect to purchase the loan. This enables the bank to devise targeted marketing campaigns to increase the conversion rate with minimal budget.

Tools & Techniques

Python, Supervised Learning, Ensemble Techniques, Model Selection


Customer Data of a Company

Music App Industry

Music Data Analysis (Recommendation and Prediction)

Analyze Lastfm ( website) music dataset and apply user based collaborative filtering and other Recommendation algorithms to identify less-known Artist and new artists, enabling user to explore new songs music based on their taste.Also build a prediction model to predict whether a user will listen to an artist’s songs and frequency of listening for a particular song.

Tools & Techniques

Python, Exploration Data Analytics, Recommendation algorithms, User profiling, Prediction, Big Data Analytics


Last FM Dataset


Do participate in company sponsored hackathons and establish your expertise. Implement your newly built abilities to solve real-world problems. Here are some of our recent hackathons.
Card image cap
Hackathon: 02nd Feb 2019

HR Analytics

The problem statement is to build a machine learning model to classify salary range of different employees based on employer information.

12 Teams
  • Bangalore
Great Learning Logo
Card image cap
Hackathon: 19th Jan 2019

Medical Speciality

Build a Machine Learning model which can extract information from medical prescriptions and can identify keywords to identify the medical domain of the problem which the patient is suffering from.

19 Teams
  • Chennai
  • Hyderabad
Great Learning - Hackathon Buddihealth
Card image cap
Hackathon: 08th Sep 2018

Ad-channel Marketing

The challenge is to build a machine learning algorithm based on 1 million click data over 4 days from an advertisement that predicts whether a user will download an app after clicking on the advertisement.

10 Teams
  • Bangalore
Great Learning Logo

India’s Best Machine Learning Faculty

The faculty club of machine learning course consists of top leading academicians in the domain of data analytics along with several expertise industry practitioners from the leading organization.

Hands-On Learning from AI and Machine Learning Practitioners

Get invaluable input from the who's who of the industry:

Career Support - GL Excelerate

As a student of Great Learning's program, GL Excelerate helps you unlock your abilities, exalt your talents and connect to the right opportunities for your next job.

Great Learning interview preperation
Exclusive recruitment drives

Great Learning conducts recruitment drives across many cities. These drives are organized once every two months. These drives are beneficial for both the machine learning professionals and top tech companies seeking consistent talent.

Access to curated jobs

Obtain a list of jobs relevant to your skill and domain. Leverage our dedicated career support unit working with 350+ companies, who’ll prescribe the right jobs for you.

Great Learning interview
Interview preparation workshops

Familiarise yourself with regularly asked questions that’ll help you decipher any technical questions during interviews. Use your ePortfolio to display your expertise and improve your chances of getting picked.

Great Learning career mentorship
Personalised career mentorship

Receive an expert career instructor personalized to your background and knowledge, who will help you drive your pathway to career success. Get supervision on choosing the right opportunities, building a great CV and much more.

Organizations Participating in Recruitment Drives

Great Learning Career support companies Great Learning Career support companies

Alumni Success Stories

Balaji SR

Data Scientist, Andhra Bank

The Industry exposure has helped me bridge the gap between the theory and practice. Industry exposure during the program allowed me to get to end to end knowledge right from data extraction to storytelling. I learnt about the latest industry trends, as to why a particular technique is used for a situation, challenges faced, case studies, model development and validation etc.

Clarence Wong

Data Scientist, Microsoft

The professors were extremely flexible and ready to spend more time on certain topics based on the learning requirements of the batch. The industry speakers were very knowledgeable and had hands on experience on the topics delivered by them. Interacting with them on real world problems was one of the biggest takeaways from the course.

Reviews by Learners

Batch of July 2019 | Associate at Cognizant
We got good support from our Mentor. We had a situation where we need to change the topic because of a lack of data availability. During that time our Mentor encouraged us to pick the Consumer Complaint data even NLP is not part of the ML course. Good Work.

Batch Profile

The PG Machine Learning Course Pune class consists of working professionals from excellent organizations and backgrounds maintaining an impressive diversity across work experience, roles and industries.

Batch Industry Diversity

Learning course batch industry diversity

Batch Work Experience Distribution

Learning batch work experience distribution

The PG Machine Learning Course Pune class comes from some of the leading organizations.

Great Learning - Artificial Intelligence and Machine Learning classes by leading organisation Great Learning - Artificial Intelligence and Machine Learning classes by leading organisation

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).
Grear Learning admission and selection process

Selection Process

Step 1

Fill 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

Great Learning rupee icon 2,50,000 + GST
Admission Fee Great Learning rupee icon 50,000
1st Installment Great Learning rupee icon 66,667
2nd Installment Great Learning rupee icon 66,667
3rd Installment Great Learning rupee icon 66,666
Total 2,50,000

Fee for Online Mode

Great Learning rupee icon 1,50,000 + GST
Admission Fee Great Learning rupee icon 25,000
1st Installment Great Learning rupee icon 41,667
2nd Installment Great Learning rupee icon 41,667
3rd Installment Great Learning rupee icon 41,666
Total 1,50,000


Candidates can pay the program fee through

Net Banking
Credit/Debit Cards
Cheque, DD

Financial Aid

With our corporate financial partnerships avail education loans at 0% interest rate*.

Great Learning education loan financial partners by Zestmoney
Great Learning education loan financial partners by Eduvanz
Great Learning education loan financial partners by HDFC

*Conditions Apply. Please reach out to the admissions team for more details.

Upcoming Application Deadline for PG Machine Learning Course in Pune


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

Apply Now

Frequently Asked Questions

What is the eligibility for the Machine Learning Course?
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
Apply Now - Machine Learning Course Demo.
What are the delivery formats available for Machine Learning Course?
The PG Machine Learning Course 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.
Explore Here - Machine Learning Formats.
Do I need to know programming?
Even as this outstanding program is designed for technological professionals seeking 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. Explore - Machine Learning Program Details
What is the program architecture?

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. Read More - Machine Learning Program Structure.

When does the program begin?
Where will the classes be conducted for the classroom format?
The Machine Learning Classes in Pune will be conducted at MCCIA Trade Tower-Shivajinagar and Noida in Sector 18. Apply Now - Machine Learning Course Demo.
Will the program certificate awarded by Great Lakes?
Yes. The Certificate for the Post-Graduate Program in Machine learning will be awarded by Great Lakes Executive Learning. View Here - Machine Learning Certificate.
Will Great Lakes faculty be teaching this course?
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. Explore more about Machine Learning faculty.
Will I have to spend extra on books, online learning material or license fee?
Definitely not. All the needed content are included in the program fee and available at any time through (and after completion of) the program. You are welcome to purchase additional material for your reference on faculty recommendation. Download - Machine Learning Program Brochure.
Will the content be available after the course is completed?
Certainly 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. Contact Us For More Details.
How will I be evaluated during the course?
PG Machine Learning Course is a holistic and rigorous Program and follows a constant evaluation method. Candidates are evaluated in the courses they face through case studies, quizzes, assignments or project reports. Explore More Details Here.
Can my company sponsor me for this course?
We embrace corporate sponsorships and can assist you with the process. For more information, you can write to us at
Will there be placements at the end of the course?
The career support operations at Great Lakes’ post graduate program in Machine Learning begin with supporting 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. Explore Now - Great Learning Excelerate.
What is the admission process?
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. Online Application Form.
How can I apply for this course?
If you are interested in the Program, you can apply through the online application form. If you need assistance, please write to us at
Online Application Form.
How will I get access to online labs?
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. Click Here - Machine Learning Curriculum.
Will there be any Financial Assistance?
The Great Lakes PG Machine Learning Course has tie-ups with HDFC Credila, Avanse Education (DHFL Group), and Zest Money for providing education loans. Check Now - Admission and Fee Details.
What is a Capstone Project?
All the candidates will be working on a real world problem using a series of tools & techniques that they have learned in class. The candidates will be also given access to online Labs which will favor them during the project. The time frame of the project is 3-4 month Explore - Capstone Projects and Hackathons.
Can I brush up on my programming before we start?
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. Download Brochure.
Do candidates need to bring their own laptop?
The candidates need to bring their own laptops; the technology requirement shall be shared at the time of enrolment. Download Brochure.
What is the demand for Machine Learning in Pune?
Pune is one of the major IT hubs of the country which has got a huge demand for machine learning. AT present there exist around 1327 openings in the field of Machine learning which is a big number. Learn More.

The Booming Machine Learning course in Pune

The modern world spins around machines and technology is ruling humans in every regard. We are surrounded by electronic as well as programmed systems that make our lives easy. Every machine work based on human instructions. What if the machines start thinking by themselves and predicting the outcomes by learning from their past experiences just like humans do? Sounds crazy right? Well, this technology of teaching machines is nothing but machine learning.
Let us know more about this exciting technology.

What is Machine Learning?

Machine learning is an important subset of Artificial Intelligence. Machine learning can simply be explained as the efficient application of the past data by the machine to elucidate several problems and questions that promote effective decision making. The data that we use plays a crucial role in making the right predictions. The tools and practices of machine learning help in generating dynamic algorithms, decision trees and many more for obtaining efficient and optimal solutions.

Machine Learning Applications

Some applications of machine learning include image recognition, image processing, medical diagnosis, regression, distribution, learning, etc. Machine learning offers more surpassing benefits to any enterprise that is applied.

Advantages of machine learning

Machine learning has achieved a huge demand for all the advantages that they offer.
Few of the many perks offered by Machine Learning are

  1. Increases the efficiency
  2. Accelerated analysis forecast and processing
  3. Expedite the most accurate Medical Predictions and Diagnoses
  4. Accurate spam detection
  5. Promotes a personalized shopping experience by recommending the right product to the right customer
  6. Offers better customer segmentation
  7. Contributes to better traffic management
  8. Increases the market range
  9. Identify fraudulent activities
  10. Cost reduction

Machine learning applications in different sectors

Machine learning has become a must in every sector. This facilitates a wide range of enterprises that fostered machine learning.
The following are a few of them

  1. Health care
  2. Entertainment
  3. Gaming
  4. Robotics
  5. Automation
  6. Digital Assistance
  7. Marketing
  8. Finance
  9. Transportation
  10. Information Technology

Since machine learning is not limited to any specific industry, the demand reaches the sky creating numerous job opportunities in this exciting sector. Machine learning jobs are considered as one of the highest paid job roles in the country. The average pay scale of a machine learning engineer in our country is estimated at 8.7 lakh per year. The field of Machine learning offers salary packages ranging from 3 to 15 lakh per year in India. Considering experience, demand and several other factors, the IT giants offer huge packages.

Job roles offered by Machine Learning

Let us look into the various passionate job roles that Machine learning certification grants

  1. Machine Learning Engineer
  2. Data Architect
  3. Data Mining Specialists
  4. Cloud Architects
  5. Cyber Security Analysts
  6. BigQuery Engineer
  7. Clinical Intelligence Analyst
  8. Machine Learning Specialist
  9. Data Manager
  10. Advanced Analytics Engineer
  11. Data Scientist

What are the significant prerequisites of taking up a machine learning training program?

If you are ardent about taking up a machine learning in Pune, you must need to prepare yourselves to be successful in pursuing it. To learn machine learning, there are few distinct prerequisites which you need to understand to master the methods of machine learning.

  1. Knowledge of programming languages

    Since machine learning is all about tutoring the computer systems, it is imperative to beware of various programming languages as programming languages are the source through which we interact with machines. Java, C++, R, Python, etc are a few languages that are broadly used in machine learning. If you know Java, it is easy to learn other programming languages. At present, Python is a highly preferred programming language by most of the machine learning professionals.

  2. Math skills

    It isn't a must to be a specialist in dealing with mathematical problems but you shouldn't be a stranger to the several mathematical concepts that are employed in machine learning. A basic understanding of calculus, probability, statistics is very essential to understand the theories of machine learning.

  3. Data Engineering skills

    As machine learning involves a lot of work with large data sets, hands-on experience on platforms like big data, SQL, SAS, etc would contribute to a better understanding of the concepts of machine learning.

  4. Data Visualization skills

    Having a concise understanding of data visualization tools such as Tableau, Datawrapper, FusionCharts, etc would be a great support for an effective presentation which is a major responsibility of a machine learning engineer.

The increasing Scope for Machine Learning Course in Pune

Machine learning in Pune has succeeded in exciting changes in the IT industry. Many industries have encountered advancements and amusing breakthroughs in their businesses. Most companies also experienced rapid growth in their economies by the application of machine learning techniques.
Pune being the national headquarters for a few of the most popular IT companies such as Honeywell Automation India, Tech Mahindra, Volkswagen India, LG Electronics, etc contributes a large part to the country's economy.

The Urge For Machine Learning in Pune

Pune ranks third in terms of information technology and it was also known as the city that records the fastest growth of 11% in IT exports. Machine Learning Course in Pune offers interesting job roles. Machine learning in Pune has got a vaster demand for machine learning programmers. These days Machine learning has become a must in every sector and industry.
Machine learning is extensively opted by many businesses for efficient optimization of results. So, there is a tremendous demand for job opportunities in several fields to work on Machine Learning. Pune currently has 1327 openings for various profiles of machine learning. Machine learning training in Pune is the best choice that you could make if you are willing to give an upgrade to your career.
Even as the number of institutes offering machine learning training classes in Pune are increasing day by day, choose the best machine learning institute in Pune and give your career a breakthrough.