Why Join our PG Machine Learning Course in Chennai?
Great Lakes faculty have been recognized as one amongst India’s top 10 Data Science and Machine Learning faculty. Our faculty have profound industry experience and are alumni of many world-renowned institutions such as Harvard, Stanford, Kellogg, University of Chicago, IIMs, and IITs.
Flexibility of learning in class or online
In the classroom format, 120 hours of machine learning course is presented through classroom lectures by our esteemed faculty that takes place one weekend every month. In the online format, you learn from lecture videos coupled with weekly online mentorship sessions with Machine Learning experts in small groups.
Learn by doing
The Machine Learning Course follows an accurate hands-on method where members will get to work on several real-life business problems, case studies, mini-projects, and capstone projects. Every candidate also will be allocated a mentor who administers regular guidance and mentorship until the end of the capstone project.
Corporate partnership & industry exposure
The Machine Learning Course in Chennai gives each of the participants a chance to acquire valuable insights from a few 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 assure a complete knowledge of what’s happening in the industry.
Machine learning is one of the most inspiring careers to establish at this instant. There is a great demand for Machine Learning experts in the industry but it is vital to have appropriate skills, exposure, and academic lineage to be able to obtain these opportunities. The PG Machine Learning Course lets candidates execute this shift to high-growth careers in Machine Learning, Deep Learning, and Data Science.
The PG machine learning program offers a learning atmosphere that causes the least interruptions to your work schedule. In both, the classroom and online forms sessions are organised during the weekends and are aided by online webinars, discussions, and assignments for holistic learning. For each assignment, you will also get an ideal solution as a recorded walkthrough.
A complete Machine Learning Course that blends Data Science, Machine Learning and Deep Learning to equip candidates for various job roles such as Data Scientists, Machine Learning Engineers & Architects, Technology & Solution Architects, etc. The course uses a mixture of learning from distinguished faculty, industry Machine Learning experts and real-life projects to facilitate this.
Hands-on projects & ePortfolio
From the very beginning till the end of this course, candidates would be working on various mini-projects, capstone projects, and hackathon. All this hands-on work gets caught in every candidate’s Machine Learning ePortfolio. This ePortfolio is verified by Great Lakes and is a shareable report that our participants use to indicate their expertise and exposure in Machine Learning.
The PG Machine Learning Course course consists of working professionals from great organizations and disciplines with distinct experiences across industries and roles. As a participant, communications with such a peer group will better 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 acquired knowledge & projects on machine learning in a snapshot. Your certificate and
ePortfolio can also be shared on social media platforms to establish your credibility in Machine
The Machine Learning course curriculum has been designed in collaboration with many of the most
brilliant minds in the industry of 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 fundamental project that has to be performed by every candidate and
seizes the entire learning in the course. The projects are co-designed with industry experts and
outline challenges and problems similar to the ones the business experts solve employing Machine
Learning. With this capstone project, candidates can experience an end-to-end problem-solving
experience in Machine Learning. All capstone projects are monitored and guided by Industry experts
or Great lakes faculty and the candidates are expected to present their capstone projects to an
evaluation panel 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
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
Associate in company-sponsored hackathons and establish your expertise. Practice your new skills
to solve 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 members of the machine learning program consist of commanding academicians in the
domain of data analytics along with many experienced industry practitioners from leading
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 participant in the Great Learning's program, GL Excelerate benefits you showcase your potential, highlight your skills and connect to the right possibilities for your next job.
Exclusive recruitment drives
Attend Great Learning job fairs regulated every 2 months across various cities. Partake in our placement drives with top tech companies looking for experts like you.
Access to curated jobs
Obtain a list of jobs suitable to your experience and domain. Make the most use of our dedicated career support team working with 350+ organizations, who’ll advise the right jobs for you.
Interview preparation workshops
Get used to commonly asked questions that’ll help you get through any technical interview. Use
your ePortfolio to display your skills and enhance your chances of getting hired.
Personalised career mentorship
Get an expert career mentor personalized considering your experience and industry, that will help you drive your path to career success. Get ultimate guidance on picking the right opportunities, developing 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 Chennai 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 Chennai 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 Chennai
We follow a rolling admission process and admissions are closed
once the requisite number of participants enroll for the upcoming
batch in Chennai. So, we encourage you to
apply early and secure your seat.
Since this program is designed for technology professionals looking to work hands-on with a range of machine learning techniques most valued by the industry, you should be comfortable with programming. This may be in any programming language and not necessarily in Python, but having experience in Python is an added plus. For candidates who do not know Python, we offer a free pre-program tutorial.
Explore - Machine Learning Program Details.
What is the program architecture?
The blended format of the program consists of around 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 queries and project assistance.
Read More - Machine Learning Program Structure.
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?
Absolutely not. Every essential material is covered in the program fee and accessible 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?
Yes indeed. 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 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 activities at Great Lakes’ post graduate program in Machine Learning begin with helping candidates prepare for advanced analytics and machine learning careers through sessions conducted by industry experts. We also provide our candidates and alumni with access to any opportunities that partner companies share with us.
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.
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.
Do candidates need to bring their own laptop?
The candidates are obliged to bring their own laptops; the technology requirement shall be shared at the time of enrolment.
What is the demand for Machine Learning in Chennai?
Chennai is one of the largest software exporters in the country. This city has around 1200 existing openings for various positions in the field of Machine learning. Machine Learning in Chennai has achieved unbelievable demand.
We are living in a world of humans as well as machines. Machines are much stronger than humans and the innovation of these machines led to the industrial revolution all over the world. The current rising technology Machine Learning which works on designing intelligent machines that react and perform various tasks like humans do without being specifically commanded is creating a revolution in this era.
The word Machine learning these days have been heard everywhere. Machine learning has attained extensive demand within a very short span. If you are striving to take up a career in machine learning and intending to take up a machine learning course, you must have a fundamental knowledge of machine learning.
In the 21st century, Machine learning has a profound impact on our lives. Machine learning is presumed to grow up to 300% in the coming two years.
Machine learning has got immense demand for the unbelievable benefits it offers. Before you study machine learning, learn about the multiple impacts of it.
The outstanding applications of Machine Learning Technology
Let us look into the various amazing advantages of machine learning which is influencing many industries to adopt this technology.
Process and interpret huge volumes of data Consolidating machine learning into any business almost equals to having your assistant that can execute multiple functions in parallel.
Help with administration decisions by analyzing data that succeeds in building up the most efficient team.
The machine learning tools can support and streamline almost any job that you would designate.
Converse with customers to determine customer service issues much more promptly than what a human can prepare.
Study efficient algorithms to forecast future growth as it helps the organizations to analyze their employees and assist them to deliver a personalized experience.
Machine learning helps in reaching out to the right client by suggesting the most suitable recommendations and the customized experiences turn out to sale and increase the economy.
Help physicians diagnose patients and treat them better as Machine learning advances accuracy in the outcomes that it produces.
Machine learning advances potency as it serves you several benefits such as maintaining files, schedules, updating information in time, etc allows you to focus on distinct elements.
Machine learning results in inefficient decision making as it can foretell financial trends, data extraction, data analysis and many more.
Machine learning has been practiced by the government to diminish fraud and lessen the error rate in formulating taxes.
As humans, we learn through the mistakes we do which help us grow in our lives. In the same way, even the machines are progressing daily. through which the efficiency has been rising. The results are growing better and the possibility of errors seems to be diminishing.
What are the various job roles offered in the rising field of machine learning?
There are many job roles offered to the ones that pursue the machine learning course. The list of these job roles is expected to increase even as the applications of the techniques of machine learning are growing day by day.
Below is the list of few job roles of machine learning technology.
Machine Learning Engineer
Data Mining Specialists
Cyber Security Analysts
Clinical Intelligence Analyst
Machine Learning Specialist
Advanced Analytics Engineer
Machine learning shortly is expected to replace many of the existing job roles. So, machine learning certification is a powerful medium that could help you obtain one of the best and reliable jobs in the country. So, taking up the best machine learning course today is the best thing you could do today.
The pay scale of these job roles varies from 3 lakh to 24 lakh considering various constraints. Machine learning is recognized as one of the fields that offer the highest paid jobs in the country. The average pay scale of a machine learning professional in India is determined as 8.7 lakh per year.
What are the highly desired prerequisites of taking up a machine learning training in Chennai?
If you are fervent about taking up a machine learning in Chennai, you must need to learn about the various prerequisites of this course.
To learn machine learning, there are few discrete prerequisites which you need to know to comprehend the techniques of machine learning
Knowledge of programming languages
As machine learning is all about training the computer systems, it is crucial to have an understanding of various programming languages as programming languages are the only source of communication.
Java, C++, R, Python, etc are a few important programming languages that are broadly used in machine learning. Java makes it easy for you to master other programming languages. At present, Python is a highly preferred programming language by most of the machine learning professionals.
Being a stranger to mathematics makes it difficult for you to master the machine learning course. A basic understanding of calculus, probability, statistics is very essential to learn the theories of machine learning.
Data Engineering skills
As machine learning requires a lot of work with massive data sets, hands-on experience on programs like big data, SQL, SAS, etc would offer to gain a better understanding of the theories of machine learning.
Data Visualization skills
Having a brief knowledge of data visualization tools such as Tableau, Datawrapper, FusionCharts, etc would be an excellent support for an effective presentation which is a major responsibility of a machine learning engineer.
The demand for Machine Learning in Chennai
Chennai is one of the major cities where the IT sector has huge demand. Chennai has evolved as one of the largest electronic hubs of South Asia as it has many of the top multinational companies located at its center. Chennai has been ranked as the most attractive Indian city for offshoring the It services according to A T Kearney's Indian City Services Attractiveness Index 2005. Chennai has got a huge demand for the emerging technology of machine learning. At present, there are around 1200+ openings for several positions in the machine learning field only in the city of Chennai which is also expected to grow rapidly in the next few years.
If you are a resident of this beautiful city and are aspiring a career breakthrough, ensure that you choose the best machine learning institute in Chennai and give your career an amazing breakthrough.
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