India’s Most Exhaustive Machine Learning Program

PGP - Machine Learning in Mumbai

Weekend Classroom | Online Mentorship
  • Mumbai
  • Online
Apply Now
Applications Close Tomorrow

Academic Partners

  • UT Austin University Logo
  • Great Lakes Logo

Why Join our PG Machine Learning Course in Mumbai?

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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 expertise and are alumni of prestigious universities such as Harvard, Stanford, Kellogg, University of Chicago, IIMs, and IITs.

Great Learning online class
Flexibility of learning in class or online

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

Great Learning learn by doing
Learn by doing

The Machine Learning Course follows a rigorous hands-on curriculum where students have to act on several real-life business puzzles, case studies, mini projects and capstone projects. All the candidates also get a mentor who provides supervision and mentorship for the capstone project.

Great Learning industry exposure
Corporate partnership & industry exposure

The Machine Learning Course supports participants to learn from some of the industry’s leading minds in Machine Learning. Industry experts engage in guest lectures, case studies and mentor candidates in their capstone projects to gain a thorough understanding of what’s happening in the industry.

PG Machine Learning Course Learning Experience

Machine learning is one of the most desirable careers to build now. There is a great scope for Machine Learning professionals in the market but it is important to have suitable skills, exposure and academic pedigree to be able to capitalise on these opportunities. The PG Machine Learning Course enables candidates to make this shift to high-growth careers in Machine Learning, Deep Learning and Data Science.

Great Learning innovative approach
Innovative approach

Our course contributes to a learning environment with minimal disruption to your work schedule. In both the classroom and online formats sessions are organised 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.

Great Learning industry relevant
Industry-relevant curriculum

A complete Machine Learning Course that combines Data Science, Machine Learning and Deep Learning to outfit candidates for positions of Data Scientists, Machine Learning Engineers & Architects, Technology & Solution Architects etc. The course uses a mixture of learning from world-class faculty, industry Machine Learning experts and real-life projects to expedite this.

great-learning-hands-on-project
Hands-on projects & ePortfolio

Throughout the course, candidates would be operating on several mini-projects, a capstone project and hackathon. All this hands-on work gets showcased in every candidate’s Machine Learning ePortfolio. This ePortfolio is assessed 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 has got working professionals from excellent organizations with diverse expertise across industries and roles. As a participant, interactions with such a peer group will improve 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 create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be displayed on social media platforms 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

Curriculum

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

Foundations
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 cumulative project that has to be done by every candidate and captures the entire learning in the course. The projects are co-formulated with industry experts and display challenges and puzzles 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 capstone projects are mentored by Industry experts or Great lakes faculty and the students are needed 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

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

Dataset

Amazon Review Dataset

Finance

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

Dataset

Customer Data of a Company

Music App Industry

Music Data Analysis (Recommendation and Prediction)

Analyze Lastfm (last.fm 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

Dataset

Last FM Dataset

Hackathons

Partake in company sponsored hackathons and establish your skill. Utilize your new talents to interpret 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 the best machine learning course by Great Learning is comprised of leading academicians in the domain of data analytics along with numerous experienced industry practitioners from the best 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 a member of the Great Learning's program, GL Excelerate assists you to explore your potential, highlight your skills and connect to the best feasibilities for your next job.

Great Learning interview preperation
Exclusive recruitment drives

Attend Great Learning job fairs organized every 2 months across cities. Participate in our recruitment drives with topmost tech companies looking for specialists like you.

great-learning-rec-drive
Access to curated jobs

Access a list of jobs related to your practice and domain. Leverage our outstanding career support team working with 200+ organisations, who’ll suggest the right jobs for you.

Great Learning interview
Interview preparation workshops

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

Great Learning career mentorship
Personalised career mentorship

Get an expert career instructor personalized to your experience and industry, who will support you sail your path to career success. Get guidance on determining 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.

Batch Profile

The PG Machine Learning Course Mumbai 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 Mumbai 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

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).
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
Installments
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
Installments
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

Payments

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
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 Mumbai

Tomorrow

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch in Mumbai. 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 prestigious postgraduate 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 by Great Learning 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 program is designed for technology professionals who are passionate about working hands-on with a variety of machine learning systems valued by the industry, you should have some familiarity with programming languages. This can be in any programming language, 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 for Mumbai candidates will be held at Hotel Ramada-Powai. 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. The machine learning classroom training in Mumbai will be delivered by Great Lakes faculty recognized as the country's number one in conjunction with technology specialists 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?
We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at pgpml@greatlearning.in.
Will there be placements at the end of the course?
The career support at Great Lakes’ post graduate program in Machine Learning helps 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 called 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 pursuing this Program, you can apply through the online application form. If you need assistance, please write to us at pgpml@greatlearning.in
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 studying a real world problem using an array of tools & techniques that they have learned in class. The candidates will also be given access to online labs which will support 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 are required 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 Mumbai?
Mumbai contributes a major portion of the country's economy and also stands as one amongst the major IT cities. Mumbai has a vast scope for this technology and it has around 1521 openings currently for various positions in the domain of machine learning. Learn More.

The Emerging Machine Learning Course in Mumbai

These days the word Machine learning has become so popular and the demand for the people dreaming to begin their career in machine learning has been increasing. If you are a resident of Mumbai and are curious to know what machine learning is all about, this page will tell you all you need to know to pursue a machine learning certification in Mumbai.

What is Machine Learning?

Machine learning is an application and also a subset of artificial intelligence. Machine learning is all about developing algorithms that helps the systems to learn by themselves by studying past data. In simple terms, Machine learning can be defined as the technology used to develop intelligent systems. Machine learning has yielded unique expertise to the computer systems by training them to think and act as humans do. It contributes to a huge division for technological development.

Payscale of Machine Learning professionals in India

One of the major factors that are influencing many people to learn machine learning is the unbelievable packages that it offers. The Machine learning course equips you with the talents to achieve one of the highest paid jobs. The salary range of machine learning professionals varies from 3 lakhs to 15 lakhs considering several factors. Many giant companies offer huge packages that hit the roof. The average package of machine learning professionals in India is expected to be 8.7 lakhs which is way better than many other job profiles.
Learn more about machine learning.

Roles and responsibilities of a Machine Learning Engineer

Let us know what all the various roles and responsibilities of a machine learning engineer

  1. Study and rebuild Data Science Prototypes
  2. Design a practical machine learning systems
  3. Analyze and Execute suitable Machine learning algorithms
  4. Generate Machine learning applications based on the specifications
  5. Choose relevant data sets and data design methods
  6. Reporting
  7. Testing
  8. Conduct statistical analysis

What are the various Machine Learning Applications?

Machine learning is a large field hence offers more surpassing opportunities than any other sector. Machine Learning is extensively used in a broad range of sectors. Let us learn about a few of the important applications of machine learning in numerous divisions. Another major factor that is influencing many to take up the machine learning program is that machine learning is expected to replace many existing job roles which might result in unemployment. Hence, pursuing machine learning helps gain a secured position of employment.

  • Financial sector

    One of the major applications of machine learning is fraud detection. Machine Learning techniques are widely applied in the field of finance to identify data insights and prevent fraudulent activities. Machine learning offers immense security to the industries where financial transactions are involved.

  • Government sector

    Machine Learning is also applied in many government applications to promote safety and security to the citizens of the country considering various aspects. It offers many services such as improving operational efficiency, formulating better policies and legislation, etc.

  • Health Care Industry

    Machine Learning is a boon to the field of health care as it recognizes the red flags, help to enhance the treatment and offers the best results in diagnosis. It also effectively assess a patient's health. Machine learning is strongly used in detecting cancers also offers better opinions to improve the efficiency of the treatment being offered to any patient.

  • Transportation Sector

    Machine Learning applications in transportation promotes more practical prediction in guiding the user to prefer the best route. This reduces risks and increases profitability. Machine learning also helps to apply predictive analytics that help to maintain the engine's health more effectively by conducting detailed inspections and identifying risks at early stages.

  • Retail Industry

    The retail industry has got many benefits offered by machine learning. Machine learning tools help optimize the prices, perform logistics processes more effectively. Machine Learning also helps to capture data, study the user history and facilitate the websites to suggest products to the users based on their prior acquisitions.

These days, machine learning is one of the most impactful technology in every business. Most of the companies are embracing the implementation of machine learning practices to improve and develop their business strategies and obtain profitable outcomes. Machine Learning plays a key role in powerful decision making and optimization.

Job roles offered by Machine Learning

Even as the need for machine learning is increasing day by day in every sector, there are many industries that are moving towards this technology. There are many job roles that the department of machine learning offers. Below are the few among them

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

Does the Machine Learning Course in Mumbai has enough demand?

Mumbai is the Financial Capital of our country contributing a major part to the country’s overall economy.
Mumbai has the privilege of being the Headquarters for a few of the world-renowned IT organizations such as Oracle Financial Services Software, Tata Consultancy Services, Datamatics Global Services, etc. Machine Learning in Mumbai has got tremendous demand offering an abundance of job opportunities. Mumbai currently has an average of 1521 number of job openings for machine learning which is a huge requirement. Since the Machine learning training program in Mumbai gives you a more comprehensive scope in designing the best future in this digital world. Machine Learning in Mumbai is definitely considered a highly recommendable course considering the increasing market demand and growth.

Are you excited to take up the machine learning training in Mumbai?

If you are keen on joining the machine learning program, this is your time and choose the best machine learning institute in Mumbai. If you are seeking one such institute that offers you the best machine learning course that sets up your foundation for your future, there is no better choice than Great Learning as it does the best job of providing you the world class training with the well experienced faculty members. Many other factors make Great Learning stand as the best among many institutes that offer machine learning programs in the country. Great Learning also offers you the utmost flexibility of mastering this technology. It has both online and classroom programs you can choose the best that fits your requirements. The hands on projects of Great Learning empowers you to become a successful machine learning professional and enter the competitive world with great confidence.