Why Join our PG Machine Learning Course in Mumbai?
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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 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.
The Machine Learning program curriculum has been created in collaboration with some of the sharpest
minds in Machine Learning.
Satya V. Nitta
Worldwide Leader & Program Director - Cognitive Sciences And Education
Dr. Ullas Nambiar
Principal Director Artificial Intelligence, Accenture
Mr. Mayur Datar
Chief Data Scientist, Flipkart
Probability and Bayes theorem
Hypothesis testing & scores
Python for Data Science
Pandas for pre-processing and exploratory data analysis
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
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
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 (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
Tools & Techniques
Python, Exploration Data Analytics, Recommendation algorithms, User profiling,
Prediction, Big Data Analytics
Last FM Dataset
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.
Hackathon: 02nd Feb 2019
The problem statement is to build a machine learning model to classify salary
range of different employees based on employer information.
Hackathon: 19th Jan 2019
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.
Hackathon: 08th Sep 2018
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.
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:
Mr. Krishnav Dave
Consultant Team Lead
Capgemini India Pvt. Ltd.
Mr. Suvajit Mukhopadhyay
Deputy VP - IT Strategy and Enterprise Architecture
Mr. Survesh Chauhan
Mr. Amit Jain
Mr. Akshay Kulkarni
Senior Data Scientist
Mr. Rajneesh Tiwari
Mr. Sahil Matoo
Mr. Vineet Berlia
Data Scientist and Automation Lead - Applied Data Science Center
Mr. Pradeep Prajapati
ThyssenKrupp Industries India
Mr. Rohit Raj
Mr. Ashish Vyas
Mr. Sumit Kumar
Senior Data Analyst
Wolter Kluwer - Financial Services Solutions
Mr. Sanjoy Gosh
Business Analyst Project Management
Mr. Soharab Hussain Shaikh
Assistant Professor - Department of Computer Science and Engineering
BML Munjal University
Mr. Arun K
General Electric (GE)
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.
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.
Access to curated jobs
Access a list of jobs related to your practice and domain. Leverage our outstanding career support team working with 350+ organisations, who’ll suggest 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 exhibit your skills and improve your possibilities of getting hired.
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.
Solutions Lab - Artificial Intelligence
Ernst and Young
Shiva Rama Krishna Reddy
Senior System Architect
Arjun Anand Ganapathy
First American India Pvt Ltd
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.
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.
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.
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
Batch Work Experience Distribution
The PG Machine Learning
Course Mumbai class comes from some of the leading
Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
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
Upcoming Application Deadline for PG Machine Learning Course in Mumbai
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.
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.
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
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.
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.
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.
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.
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
Study and rebuild Data Science Prototypes
Design a practical machine learning systems
Analyze and Execute suitable Machine learning algorithms
Generate Machine learning applications based on the specifications
Choose relevant data sets and data design methods
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.
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.
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.
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.
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
Machine Learning Engineer
Data Mining Specialists
Cyber Security Analysts
Clinical Intelligence Analyst
Machine Learning Specialist
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.
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