India’s Most Exhaustive Machine Learning Program

PGP - Machine Learning in Bangalore

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

Academic Partners

  • UT Austin University Logo
  • Great Lakes Logo

Why Join our PG Machine Learning Course in Bangalore?

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Top-ranked faculty

Great Lakes faculty have been noticed as one amongst the country's top 10 Data Science and Machine Learning faculty. Our faculty have extensive industry experience and are alumni of many world-prestigious universities such as Harvard, Stanford, Kellogg, University of Chicago, IIMs, and IITs.

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

In the classroom setup, 120 hours of machine learning course is delivered through classroom lectures by our intellectual faculty that takes place one weekend each month during the course period. In the online setup, you learn from lecture videos collaborated with weekly online mentorship lectures with Machine Learning experts in small groups.

Great Learning learn by doing
Learn by doing

The Machine Learning Course follows a reliable hands-on method where candidates will get to perform several machine learning operations on real-life business problems, case studies, mini-projects, and capstone projects. Every participant also will be appointed by a mentor who contributes regular guidance and mentorship until the end of the capstone project.

Great Learning industry exposure
Corporate partnership & industry exposure

The Machine Learning Course presents each of the members a prospect to acquire valuable knowledge from a few of the industry’s leading talents in Machine Learning. Industry specialists take part in guest lectures, case studies and train candidates in their capstone projects to assure a complete knowledge of what’s happening in the industry.

PG Machine Learning Course Learning Experience

Machine learning is one of the most uplifting exhilarating professions to establish at this time. There is an exalted demand for Machine Learning specialists in the industry but it is imperative to possess relevant skills, exposure, and academic lineage to be able to capture these opportunities. The PG Machine Learning Course allows candidates to accomplish this shift to high-growth careers in Machine Learning, Deep Learning, and Data Science.

Great Learning innovative approach
Innovative approach

Our machine learning classes in Bangalore are designed in a way to induce minimum disturbance to your work schedule. Both Online and offline classroom sessions are composed during the week. These sessions are served by online webinars, dialogues, and assignments for holistic learning. Candidates get to take a look at the model solution for each task which will be helpful as a walkthrough.

Great Learning industry relevant
Industry-relevant curriculum

An extensive Machine learning coaching in Bangalore by Great Lakes consolidates Data Science, Machine Learning and Deep Learning to prepare candidates for diverse work professions such as Data Scientists, Machine Learning Engineers & Architects, Technology & Solution Architects etc. The course exercises a mixture of learning from faculty with diversified knowledge in the Machine learning industry.

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Hands-on projects & ePortfolio

Candidates' progress will be reported in Machine learning ePortifolio after the fulfillment of mini projects, capstone, and hackathons. The ePortifolio will be monitored by the Great lakes team. This is a document that lets participants showcase their expertise and exposure to Machine learning.

Great Learning talent pool
Peer Learning

PG Machine learning course constitutes of professionals from top most tech companies and backgrounds from distinct experience. Candidates will have a chance to socialize such a diversified team.

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 manifest your learning & projects in a snap. Your certificate and ePortfolio can also be displayed on various 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

Curriculum

The Machine Learning course curriculum has been created in collaboration with some of the brightest 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 a crucial part of the curriculum of this program as it is designed to achieve the practical knowledge of the entire learning happened. Thus it is necessary for the experts. The projects are targeted to mirror real time synopses similar to the ones the industries trying to work through Machine learning techniques. To design the plan in this way, Great learning gets along with Industry experts. The candidates will get a chance to illustrate and implements the skills acquired during their schooling at Great learning. All the capstone projects will be mentored by either great lakes faculty or industry experts who are acquainted with contemporary machine learning trends in the industry. Candidates are guaranteed to get a candid evaluation from these experts upon the submission of the project.

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

Hackathons sponsored by tech companies present an event for professionals to prove and improve their problem solving skills.
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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 panel of the machine learning course at Great Learning consists of the top academicians in the domain of data analytics along with diverse expertise 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 learner of the Great Learning program, GL Excelerate supports you display your potential, demonstrate your skills and get in touch with the right people for getting placed in the right position.

Great Learning interview preperation
Exclusive recruitment drives

Great Learning conducts recruitment drives across cities. These drives are programmed once in every two months. These drives are bilaterally profitable for Professionals and top tech companies looking for suitable talent.

great-learning-rec-drive
Access to curated jobs

Experts will get to access a list of placement opportunities that match their skills, experience, and domain of interest. Our support team funds our resources to help professionals find the right jobs that suit their preferences.

Great Learning interview
Interview preparation workshops

Get familiarized with the most commonly asked questions that will equip you to nail any technical interview. Use your ePortifolio to display your skills and improve your possibilities of getting recruited.

Great Learning career mentorship
Personalised career mentorship

A career expert will be designated to suit your knowledge as a mentor. The mentor will direct your path towards success considering your choices. You are guaranteed to get supervision from building an effective resume to picking the right opportunity.

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 Bangalore 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 Bangalore 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 Bangalore

Tomorrow

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch in Bangalore. 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 exciting post-graduate program in Machine Learning by Great Learning is a hands-on program designed for technological 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 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.

When does the program begin?
Where will the classes be conducted for the classroom format?
The classes for the city of Bangalore will be held at the Great Learning campus within the city. Apply Now - Machine Learning Course Demo.
Will the program certificate awarded by Great Lakes?
Yes. The Certificate for the Post-Graduate Program in Machine learning will be awarded by Great Lakes Executive Learning. View Here - Machine Learning Certificate.
Will Great Lakes faculty be teaching this course?
Yes. Classroom sessions are delivered by Great Lakes faculty in conjunction with technology specialists with decades of Advanced Analytics and Machine learning expertise. Industry stalwarts who apply machine learning tools and techniques everyday will contribute to your learning outcomes through industry sessions, case studies and project support. Explore more about Machine Learning faculty.
Will I have to spend extra on books, online learning material or license fee?
Not at all. All required content are 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?
Yes. We accept that learning is continuous and hence all learning material – lecture notes, online content and supporting material – will be accessible 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 pgpml@greatlearning.in.
Will there be placements at the end of the course?
The career support pursuits at Great Lakes’ post graduate program in Machine Learning begin with encouraging candidates to prepare for excellent analytics and machine learning careers through sessions conducted by industry experts. We also present our candidates and alumni with access to various opportunities that partner companies share with us. Explore Now - Great Learning Excelerate.
What is the admission process?
You are gladly welcomed 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 excited to take up 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 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 Bangalore?
Bangalore is the major IT hub of the country and has got immense demand for this latest technology than any other city in the country. Right now, the field of Machine learning has got around 6000+ openings for various positions in the city of Bangalore. Learn More.

The Exciting Machine Learning course in Bangalore

Machine learning is one of the most prestigious technologies which is reigning the technological world. Out of a blue, machine learning has become so popular and turned out to be a buzzword in the current digital world. Most of the governmental and non-governmental organizations are adopting the techniques of machine learning for the outstanding benefits it provides.

Many people are planning to experience a shift in their career by pursuing machine learning online courses and start a career in this specific field.

What is machine learning?

Machine learning is a data analytics technique that trains computers to produce the natural outcomes of human brains. The main that machine learning follows is to learn from experience. The process of Machine learning requires the systems to utilize a lot of data, study and learn by themselves. The conventional programming is all about formulating the instructions using different programming languages. Machine learning intakes the data and figures out the effective forecasts which the systems would decide for us. Machine learning involves the study of design and analysis of algorithms that helps in fixing the challenging intricacies besides providing an enhancement in the process of decision making.

The outstanding impact of Machine Learning

Before you make machine learning a career choice, ensure that you know more about it. Even as there are many other technologies, why is that machine learning has gained this demand? What made it stand out from the crowd? Is machine learning the future? Machine learning is now the most enthusiastic toolset that many industries are looking for. The impact of the machine learning applications has surpassed the expectations and hence machine learning course has gained the utmost demand. Machine learning practices have been implemented in many fields that have witnessed outstanding outcomes. These industries include financial services, retail services, health care, automation, robotics, entertainment, gaming, security, social media and many more The number of industries implementing machine learning tools are rapidly growing in number providing you a huge number of opportunities in the days to come.

Job roles of Machine Learning

Machine learning is experiencing great growth by expanding it's services to various fields. This is paving a way for inventing new job roles. The field of machine learning offers many exciting job roles in several industries it has been applied to. The following are the few out of the many job roles that it offers.

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

The demand for Machine Learning in Bangalore

Bangalore is the IT capital of India. Bangalore, being recognized as the silicon valley of India has got an enormous scope for the field of Machine Learning. Considering this demand many youngsters in Bangalore are passionate about pursuing a machine learning course in Bangalore. The city of Bangalore has the largest number of openings in the field of machine learning than any other city in the country. Linkedin states that currently there exists around 6000+ job openings for various positions in the field of Machine Learning in Bangalore. Machine learning is expected to replace most of the existing jobs with machines that do not require human intervention which is causing many professionals to secure themselves by finding ways to start up a career in Machine Learning. Hence, Bangalore stands out as the best place for a career start in the technology of Machine learning.

Payscale of Machine Learning professionals in the country

Machine Learning has been recognized as the Best Job of 2019 with an astounding growth rate of 344%. The job roles of machine learning in India are considered as one among the highest paid. The salary scale of a machine learning professional in India varies from 4 to 15 lakh considering several factors. The average salary of a machine learning engineer in India is recorded as 8.7 lakhs which is better than many other job roles.

What are the major prerequisites of taking up a machine learning training in Bangalore?

If you are serious about taking up a machine learning in Bangalore, you must need to equip yourselves to be successful in pursuing it. To learn machine learning, there are few specific prerequisites which you need to know to master the techniques of machine learning

  1. Knowledge of programming languages

    Since machine learning is all about educating the computer systems, it is essential to know programming languages as programming languages are the source through which we communicate with machines. Java, C++, R, Python, etc are a few languages that are extensively used in machine learning. If you know Java, it is easy to learn other languages. At present, Python is a highly preferred programming language by many machine learning professionals.

  2. Math skills

    It isn't a must to be an expert in mathematics but you shouldn't be a stranger to the several mathematical applications that are employed in machine learning. A basic understanding of calculus, probability, statistics is very important to understand the concepts of machine learning.

  3. 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.

  4. 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.

Seeking the best machine learning course in the city of Bangalore?

Great Learning offers you the best machine learning certification course in Bangalore as this comprehensive course is designed in such a way that you will achieve in-depth knowledge of all the concepts of machine learning. Besides, it also grants you the best guidance and mentorship in every step of the course which also includes 8 projects that give you hands-on experience of machine learning. Being collaborated with many huge companies, Great Learning also assures career assistance. Design your career the best way possible by registering yourself with the best machine learning institute in Bangalore today. So, what are you waiting for? Do get in touch with our team today and grab your seat at the earliest.