India’s Most Exhaustive Machine Learning Program

PGP - Machine Learning in Delhi

Weekend Classroom | Online Mentorship
  • Delhi
  • Online
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Academic Partners

  • UT Austin University Logo
  • Great Lakes Logo

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

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 build 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 course curriculum has been designed in partnership 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 a crucial project that has to be completed by every candidate and seizes the entire learning in the course. The projects are co-designed with industry experts and exhibit the trials and difficulties similar to the ones the industry solves using Machine Learning. Through the capstone project, candidates can experience an overall problem solving experience in Machine Learning. All capstone 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 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


Engage in company sponsored hackathons and build your expertise. Employ your new abilities to answer real-world problems. Here are some of our recent hackathons.
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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
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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
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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 pool of machine learning training program in Gurgaon consists of leading academicians in the realm of data analytics along with many experienced industry practitioners from the leading organizations.

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 an associate in the Great Learning's program, GL Excelerate helps you unlock your potential, exhibit your talents and connect to the right opportunities for your next job.

Great Learning interview preperation
Exclusive recruitment drives

Take part Great Learning job fairs organized every 2 months across cities. Participate in our recruitment drives with top tech companies that need machine learning professionals like you.

Access to curated jobs

Get a list of jobs suitable to your experience and domain. Leverage our dedicated career support team working with 350+ organisations, who’ll counsel you to get the right job.

Great Learning interview
Interview preparation workshops

Familiarise yourself with generally asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your talents and improve your opportunities of getting selected.

Great Learning career mentorship
Personalised career mentorship

Get an expert career mentor personalised to your experience and industry, who will advise you to navigate your path to career success. Get direction on choosing the best 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 Delhi 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 Delhi 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 Delhi


We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch in Delhi. 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?
Since this rigorous program is designed for technological professionals that are excited to work hands-on with a set of machine learning procedures most valued by the industry, you should be fine working with several programming languages. 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 composition of this program consists of about 220 hours of active learning – among which120 hours are classroom sessions (one weekend a month) that covers 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 Gurgaon will take place at the Great Learning campus with in the city. Apply Now - Machine Learning Course Demo.

Will the program certificate awarded by Great Lakes?
Yes, if you are seeking a machine learning certification in Delhi and cities around, Great Learning has got the best program. 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. The classroom sessions of the machine learning coaching are delivered by Great Lakes faculty in conjunction with technology scholars with decades of Advanced Analytics and Machine learning expertise. Industry stalwarts who apply machine learning tools and techniques every day 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?
Certainly not. All requisite material is 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. Download - Machine Learning Program Brochure.
Will the content be available after the course is completed?
Of course Yes. We believe that learning is endless and hence all learning material – lecture notes, online content and supporting material – will be available through the online platform for one year after fulfillment 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 continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports. Explore More Details Here.
Can my company sponsor me for this course?
Yes. We welcome 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 activities at Great Lakes’ post graduate program in Machine Learning begin with encouraging candidates to prepare for exceptional 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 requested 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 keen on pursuing this Program, you can apply through the online application form. If you need assistance, please communicate with 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 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. 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 Gurgaon?
Gurgaon being surrounded by the two major cities Delhi and Noida, there is an enormous demand for machine learning professionals than any other city. Delhi has got huge need of machine learning professionals. Hence, Gurgaon stands as the best place to pursue a machine learning course and take up a career in this field. Learn More.

The Thriving Machine Learning Course in Delhi

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 are nothing but machine learning. The terms Artificial Intelligence and Machine Learning have gained unbelievable popularity these days.
Let us know more about this exciting technology.

What is Machine Learning?

Machine learning is a data analytics method that follows a systematic approach in training computers to generate the natural results of human brains. The process of Machine learning requires the systems to employ a lot of data, research and acquire knowledge by themselves.

Every individual becomes intelligent by learning from his/her past experiences. In the same way, teaching machines to learn from the past data is causing them becoming intelligent.

Machine learning is a crucial subset of Artificial Intelligence.
Machine learning can simply be explained as the powerful application of the past data by the machine to resolve several real world problems efficiently and also answer many questions that promote in 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.

Job roles of machine learning technology

If you are keen on pursuing a machine learning course, you must want to know what are the various job roles offered in this field.
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

The astounding pay scale of Machine Learning professionals in the country Machine Learning has been perceived as the Best Job of 2019 with an unbelievable growth rate of 344%.
The job roles of machine learning in India are regarded as one among the highest paid. The salary scale of a machine learning professional in India fluctuates from 3 to 24 lakh considering several factors. The average salary of a machine learning engineer in India is reported as 8.7 lakhs which is better than many other job roles. This is also one of the major reasons why many are strongly seeking a career in this platform.

Scope for Machine Learning in Delhi and Gurgaon

Gurgaon is one of the finest city which is considered as one of the major IT hubs of the country. Gurgaon is well known for its accelerated urbanization and advancing IT culture. Many top organizations have Gurgaon as their headquarters. Machine learning in Gurgaon has an immense market as various sectors have been accommodating the technology of machine learning for its amazing advantages. Many in Gurgaon and Delhi are exploring a career in the field of machine learning.
Even as the city Gurgaon is also close to the country's capital Delhi and Noida, there is a huge scope for anyone that pursues this course in Gurgaon than any other place in the country. Currently, there are more than 3000 job vacancies for several job roles in the field of machine learning across these three cities. Delhi is another emerging IT hub of the country. This clearly states that there is a wide demand for machine learning technology. Hence, taking up a machine learning course in Delhi and choosing a career in the field of machine learning is the best choice.

The Impact and Application of Machine Learning In the modern world

Machine Learning acquiring demand across many industries and domains these days.

  1. Face Detection

    Machine learning applications include face detection, voice recognition, translation and many more. These applications are also used widely in social media streams, and by the government, sector to grant safety and protection to the public.Machine learning applications include face detection, voice recognition, translation and many more. These applications are also used widely in social media streams, and by the government, sector to grant safety and protection to the public.

  2. Design smart homes

    Virtual Personal Assistants is employed in home automation systems such as Siri, Alexa, Google Home Assistants, etc makes our lives easy. These home automation systems give an upgrade to your home design and also allows absolute ease in operating smart televisions, window treatments, music systems and many more.

  3. Enhances the shopping experience on e commerce sites

    Machine learning does the task of studying the previous purchases of the consumer and makes appropriate suggestions of the commodities in the field of e-commerce and this facilitates the user to experience personalized shopping.

  4. Traffic regulation

    Machine learning helps in navigation by offering the most reliable traffic predictions. This application benefits in traffic control and also reduce the time consumption. The GPS that we use in our daily routine is one of the applications of machine learning.

  5. Fraud detection

    Machine learning contributes greater aid in financial services by endeavoring a few of the significant advantages such as fraud detection, risk control, loan underwriting, etc.

  6. Enhancement in providing medical services

    One of the biggest advantages that machine learning provides to the field of medical science is assisting the physicians in ascertaining accurate results of disease identification and equip them to give the best treatment. This application has been extremely helpful in treating dreadful diseases like cancer.

What are the major prerequisites of pursuing the machine learning course?

Practical knowledge in data mining

As machine learning involves a lot of operations on huge data sets, it is helpful for you to have skills in working with massive amounts of data such as visualization of data, big data, SQL, performing ETL operations, SAS, etc.

Mathematical skills

Mathematics is one of the core aspects of machine learning theories and concepts. So possessing a basic knowledge of mathematical theories like linear algebra, probability, statistics, calculus benefits a better understanding and derivation of efficient algorithms.

Programming Languages

Owning hands-on experience in programming languages like Python, Java, R, C++, Prolog, Lisp, etc that assist you in learning the concepts and methods of the machine learning program. Python is widely applied among all the above mentioned programming languages.

Data Visualization tools

Having hands on experience in various data visualization skills will help you do a good job of displaying the results acquired by applying the techniques of Machine learning. As reporting is one of the major responsibilities of a machine learning engineer, it is important to know about the various data visualization tools