India’s Most Exhaustive Machine Learning Program

PGP - Machine Learning in Hyderabad

Weekend Classroom | Online Mentorship
  • Hyderabad
  • Online
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Academic Partners

  • UT Austin University Logo
  • Great Lakes Logo

Why Join our PG Machine Learning Course in Hyderabad?

Top-ranked faculty

Great Lakes faculty have been regarded amongst India’s top 10 Data Science and Machine Learning faculty. Our faculty hold striking industry experience and are alumni of celebrated institutions 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 format, 120 hours of machine learning course is presented through classroom lectures by our renowned faculty that falls on one weekend every month. In the online format, you learn from lecture videos combined with weekly online mentorship sessions with Machine Learning experts in small groups.

Great Learning learn by doing
Learn by doing

The Machine Learning Course follows a rigorous hands-on method where members have to operate on several real-life business problems, case studies, mini-projects, and capstone projects. Each candidate also gets a mentor who provides supervision and mentorship for the capstone project.

Great Learning industry exposure
Corporate partnership & industry exposure

The Machine Learning Course renders the participants an opportunity to gain insights from some of the industry’s leading talents in Machine Learning. Industry experts partake in guest lectures, case studies and mentor candidates in their capstone projects to acquire an out-and-out knowledge of what’s happening in the industry.

PG Machine Learning Course Learning Experience

Machine learning is one of the most interesting careers to build right now. There is a high demand for Machine Learning specialists in the industry but it is critical to have relevant skills, exposure and academic pedigree to be able to capitalize on these chances. The PG Machine Learning Course enables candidates to make this transition to high-growth careers in Machine Learning, Deep Learning, and Data Science.

Great Learning innovative approach
Innovative approach

This course offers a learning atmosphere that causes minimal interruptions to your work schedule. In both, the classroom and online formats sessions are conducted during the weekends and are supported by online webinars, discussions, and assignments for holistic learning. For every assignment, you will also obtain the model solution as a recorded walkthrough.

Great Learning industry relevant
Industry-relevant curriculum

A comprehensive Machine Learning Course that combines Data Science, Machine Learning and Deep Learning to prepare candidates for the roles of Data Scientists, Machine Learning Engineers & Architects, Technology & Solution Architects etc. The course uses a compound mixture of learning from noted faculty, industry Machine Learning experts and real-life projects to promote this.

Hands-on projects & ePortfolio

Throughout the course, candidates would be working on multiple mini-projects, capstone project, and hackathon. All this hands-on work gets apprehended in every candidate’s Machine Learning ePortfolio. This ePortfolio is tested by Great Lakes and is a shareable document that our participants use to display their expertise and exposure in Machine Learning.

Great Learning talent pool
Peer Learning

The PG Machine Learning Course class consists of working specialists from world-class organizations and backgrounds with diverse skills across industries and roles. As a participant, interactions with such a peer group will intensify 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

Get a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to develop your credibility in Machine Learning.

Great Learning - Machine Learning Certificate
UT Austin - Machine Learning Certificate
Great Learning Academic ePortfolio of Machine Learning alumnus Rajesh Mohan


The Machine Learning training program curriculum has been built in association with some of the brightest minds in Machine Learning.

Statistical Learning
  • Statistical analysis
  • Descriptive statistics
  • Probability and Bayes theorem
  • Probability distributions
  • Hypothesis testing & scores
Python for Data Science
  • Python Overview
  • Pandas for pre-processing and exploratory data analysis
  • Numpy for statistical analysis
  • Matplotlib and Seaborn for data visualization
Machine learning module
Supervised Learning
  • Linear Regression
  • Logistic regression
  • K-NN classification
  • Naive Bayesian classifiers
  • Support Vector Machines
Ensemble Techniques
  • Decision Trees
  • Bagging
  • Boosting
  • Random Forests
  • Stacking
Unsupervised Learning
  • K Means clustering
  • Hierarchical clustering
  • Principal Component Analysis
Featurization, Model Selection & Tuning
  • Feature extraction
  • Model defects & evaluation metrics
  • Model selection and tuning
  • Comparison of machine learning models
Recommendation Systems
  • Collaborative filtering
  • Content based filtering
  • Hybrid recommendation systems
  • Performance measurement
Introduction to Deep Learning
  • Fundamentals of neural networks
  • Tensorflow and Keras
  • Convolutional Neural Networks
  • Evaluation of Deep Learning models

Capstone - The Cornerstone

The Capstone project is an important project that has to be fulfilled by every candidate as it achieves command on the entire learning of this course. The projects are co-built with industry experts and represent challenges and problems similar to the ones the industry solves using Machine Learning. Through the capstone project, candidates can experience complete problem solving expertise in Machine Learning. All capstone projects are mentored by Industry experts or Great lakes faculty and the candidates are required to submit their capstone projects to an evaluation committee at the end of the course.

Here are few of the recent capstone projects done by our participants in Machine Learning:


Sentiment Score from Reviews of Amazon Products

This project involves building a machine learning model which can predict the sentiment score from the text available in Reviews dataset from Amazon website.

Extract suitable features from the unstructured text and apply the machine learning model to get the sentiment score to understand people’s sentiments, attitudes, or emotions towards certain Amazon product.

Tools & Techniques

Python, Feature Selection or Extraction, Sentiment Analysis, Text Analytics


Amazon Review Dataset


Behavioral Pattern Recognition of Multilayer Online Role-Playing Game Players

Behavioral Pattern Recognition of Multilayer Online Role-Playing Game Players using Machine Learning and artificial neural networks

The project involves identification of potential customers for the personal loan product of a bank. Ensemble modeling techniques are leveraged to predict the propensity of a prospect to purchase the loan. This enables the bank to devise targeted marketing campaigns to increase the conversion rate with minimal budget.

Tools & Techniques

Python, Supervised Learning, Ensemble Techniques, Model Selection


Customer Data of a Company

Music App Industry

Music Data Analysis (Recommendation and Prediction)

Analyze Lastfm ( website) music dataset and apply user based collaborative filtering and other Recommendation algorithms to identify less-known Artist and new artists, enabling user to explore new songs music based on their taste.Also build a prediction model to predict whether a user will listen to an artist’s songs and frequency of listening for a particular song.

Tools & Techniques

Python, Exploration Data Analytics, Recommendation algorithms, User profiling, Prediction, Big Data Analytics


Last FM Dataset


Participate in company sponsored hackathons and practice your expertise. Practice your new skills to resolve real-world problems. Here are some of our recent hackathons.
Card image cap
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
Card image cap
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
Card image cap
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 team of machine learning program constitutes leading academicians in the field of data analytics along with several expertise industry practitioners from the top organization.

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's program, GL Excelerate helps you unlock your abilities, highlight your talents and connect to the right opportunities for your next job.

Great Learning interview preperation
Exclusive recruitment drives

Engage Great Learning job fairs organized every 2 months across cities. Partake in our recruitment drives with top tech companies looking for experts like you.

Access to curated jobs

Access a list of jobs relative to your expertise and domain. Leverage our dedicated career support team working with 350+ organizations, who’ll prescribe the right jobs for you.

Great Learning interview
Interview preparation workshops

Get used to commonly asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your skills and improve your possibilities of getting placed.

Great Learning career mentorship
Personalised career mentorship

Get a specialist career mentor personalized to your experience and industry, who will help you navigate your path to career success. Get supervision on choosing the right opportunities, building a magnificent CV and much more.

Organizations Participating in Recruitment Drives

Great Learning Career support companies Great Learning Career support companies

Alumni Success Stories

Balaji SR

Data Scientist, Andhra Bank

The Industry exposure has helped me bridge the gap between the theory and practice. Industry exposure during the program allowed me to get to end to end knowledge right from data extraction to storytelling. I learnt about the latest industry trends, as to why a particular technique is used for a situation, challenges faced, case studies, model development and validation etc.

Clarence Wong

Data Scientist, Microsoft

The professors were extremely flexible and ready to spend more time on certain topics based on the learning requirements of the batch. The industry speakers were very knowledgeable and had hands on experience on the topics delivered by them. Interacting with them on real world problems was one of the biggest takeaways from the course.

Reviews by Learners

Batch of July 2019 | Associate at Cognizant
We got good support from our Mentor. We had a situation where we need to change the topic because of a lack of data availability. During that time our Mentor encouraged us to pick the Consumer Complaint data even NLP is not part of the ML course. Good Work.

Batch Profile

The PG Machine Learning Course Hyderabad 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 Hyderabad class comes from some of the leading organizations.

Great Learning - Artificial Intelligence and Machine Learning classes by leading organisation Great Learning - Artificial Intelligence and Machine Learning classes by leading organisation

Admission Details


  • done Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
  • done Should also be comfortable using at least one programming language and be familiar with college-level mathematics and statistics (For candidates who do not know Python, we offer a free pre-program tutorial).
Grear Learning admission and selection process

Selection Process

Step 1

Fill application form

Step 2

Application review

Admissions committee will review and shortlist.

Step 3

Personal interview

These candidates will be invited for an interview and an offer will be made to the selected applicants.

Fee for Classroom Mode

Great Learning rupee icon 2,50,000 + GST
Admission Fee Great Learning rupee icon 50,000
1st Installment Great Learning rupee icon 66,667
2nd Installment Great Learning rupee icon 66,667
3rd Installment Great Learning rupee icon 66,666
Total 2,50,000

Fee for Online Mode

Great Learning rupee icon 1,50,000 + GST
Admission Fee Great Learning rupee icon 25,000
1st Installment Great Learning rupee icon 41,667
2nd Installment Great Learning rupee icon 41,667
3rd Installment Great Learning rupee icon 41,666
Total 1,50,000


Candidates can pay the program fee through

Net Banking
Credit/Debit Cards
Cheque, DD

Financial Aid

With our corporate financial partnerships avail education loans at 0% interest rate*.

Great Learning education loan financial partners by Zestmoney
Great Learning education loan financial partners by Eduvanz
Great Learning education loan financial partners by HDFC

*Conditions Apply. Please reach out to the admissions team for more details.

Upcoming Application Deadline for PG Machine Learning Course in Hyderabad


We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch in Hyderabad. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

What is the eligibility for the Machine Learning Course?
The post-graduate program in Machine Learning is a hands-on program designed for technology professionals. The eligibility criteria are as follows:
  • Graduate with a minimum of 50% marks or equivalent
  • Familiarity with college-level mathematics and statistics
  • Comfortable with Programming
Apply Now - Machine Learning Course Demo.
What are the delivery formats available for Machine Learning Course?
The PG Machine Learning Course is available in 2 formats - Classroom based learning and Online Learning with Mentorship.
  • For the classroom format, classes will be held on one weekend each month for the 7 months coupled with Online Reading Material.
  • For the online format, mentored online sessions will be held on either a Saturday or a Sunday every weekend.
Explore Here - Machine Learning Formats.
Do I need to know programming?
Since this outstanding program is designed for technological professionals aiming to work hands-on with an array of machine learning tools 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 composition of this program consists of about 220 hours of active learning – among which120 hours are classroom sessions (one weekend a month) that covers hands-on exploration of the tools and techniques and the rest a combination of online learning, practical lab assignments, and projects.
The online format of the program consists of 50+ hours of online video content from top ML faculty along with 2 hours of online mentorship sessions with ML experts every weekend to clear doubts and project assistance. Read More - Machine Learning Program Structure.

When does the program begin?
Where will the classes be conducted for the classroom format?
The classes for Hyderabad will be held at the Great Learning campus in 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 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?
Nope. 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 strongly 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?
Yes. We welcome corporate sponsorships and can assist you with the process. For more information, you can write to us at
Will there be placements at the end of the course?
The career support campaigns at Great Lakes’ post-graduate program in Machine Learning start with assisting 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.
How can I apply for this course?
If you are interested in the Program, you can apply through the online application form. If you need assistance, please write to us at
Online Application Form.
How will I get access to online labs?
Online access to the lab will be provided at the start of the program. You can get access to various tools and libraries using the lab environment. Click Here - Machine Learning Curriculum.
Will there be any Financial Assistance?
The Great Lakes PG Machine Learning Course has tie-ups with HDFC Credila, Avanse Education (DHFL Group), and Zest Money for providing education loans. Check Now - Admission and Fee Details.
What is a Capstone Project?
All the candidates will be analyzing a real world problem using a range of tools & techniques that they have learned in class. The candidates will be also given access to online Labs which will help them during the project. The duration of the project is 3-4 months. Explore - Capstone Projects and Hackathons.
Can I brush up on my programming before we start?
Yes, once admitted, you will receive a programming refresher (online) on Python. We strongly recommend that you complete these introductory online courses so that you are ready from day one of the program. Download Brochure.
Do candidates need to bring their own laptop?
The candidates are obliged 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 Hyderabad?
Hyderabad is the major IT hub of South India which is also the headquarters of most of the renowned companies. This city has got a huge number of vacancies for various positions in Machine learning. Currently, there are around 2000 openings available for machine learning job roles. Learn More.

The Fascinating Machine Learning Course in Hyderabad

These days the word Machine learning has become so popular and the demand for the people aspiring to begin their career in machine learning has been rigorously increasing. If you are a resident of Hyderabad 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 course in Hyderabad.

What is Machine Learning?

Machine Learning can be defined as the science that contains a set of tools and technologies that trains the systems to perform tasks without explicitly commanding them to do so. Machine learning facilitates the systems to study past data and produce effective results in decision making and optimizing. Machine learning practices are applied in almost every industry today. This revolutionary course has attained a huge demand in not just the IT sector but many other industries irrespective of their domain. Machine learning belongs to the field of artificial intelligence.

The Impact and Need of Machine Learning In the modern world

Machine Learning winning traction across many industries and domains today.

  1. Face detection

    Machine learning applications include face detection that is widely used in social media streams, and by the government sector to grant safety and protection to the public.

  2. Design smart homes

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

  3. Enhances the shopping experience

    Machine learning does the job of refining the previous purchases of the consumer and makes appropriate suggestions of the products in the field of e-commerce and this enables the user to experience personalized shopping.

  4. Traffic regulation

    Machine learning helps in navigation making the most reliable traffic predictions. The GPS that we use is one of the applications of machine learning.

  5. Fraud detection

    Machine learning contributes greater assistance in financial services by offering a few of the crucial benefits such as fraud detection, risk management, loan underwriting, etc.

  6. Promote better medical services

    One of the biggest benefits that machine learning contributes is assisting the physicians in determining better results of disease identification and enable them to give the best treatment especially in treating dreadful diseases like cancer.

    Few of the many industries where machine learning has demonstrated its efficiency are:

    1. Gaming
    2. Government
    3. Robotics
    4. Aerospace
    5. Education
    6. Digital Marketing
    7. Digital Assistants
    8. IT industry
    9. Education

The number of industries that are fostering the machine learning practices is rapidly increasing day by day. The Machine learning course is now standing as one of the most desirable certifications as it has been appreciated for the astounding benefits that it offers to any industry by reducing many of the major risks and optimizing the solutions most efficiently.

The pay scale of machine learning job roles

The field of machine learning is recognized as the sector that offers one of the highest paid job roles. This is also one of the factors which are making many desire a career in this platform. The average pay scale of a machine learning engineer in India is estimated at 8.7 lakh per annum. For experienced folks, this number touches the sky.

The demand for Machine Learning in Hyderabad

The city is Hyderabad is popular for its IT as well as pharmaceutical enterprises. Hyderabad is one of the country's best It hubs and it also possesses the major multinational and domestic IT companies at its center. It is also the headquarters for a few of the notable IT as well as the firms such as Cyient, Microsoft, etc. Hyderabad is also one of the fastest growing It cities in the nation which also offers tremendous employment opportunities.

Hyderabad has got an enormous necessity for machine learning programmers. By the end of 2022, machine learning is expected to encounter a growth rate of 44.1% within the city of Hyderabad. The market value is presumed to rise up to USD 8.81 billion within the next couple of years in Hyderabad.

At present, Hyderabad alone has got around 2000 job opportunities for machine learning certification which is a huge number. So, there exists a fabulous scope and greatest uplift for your career by opting for the machine learning course in Hyderabad. Ensure that you choose the best machine learning institute in Hyderabad.

If you are excited about taking up the machine learning training program to reshape your career, here are a few prerequisites that you should learn about.

Practical experience in data mining

Since machine learning is all about the data interpretation, it is helpful for you to have proficiency in working with huge data structures such as visualization of data, big data, SQL, performing ETL operations, SAS, etc.

Mathematical skills

Basic knowledge of mathematical theories like linear algebra, probability, statistics, calculus benefits a better understanding and derivation of efficient algorithms.

Programming Languages

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

Where do I learn Machine Learning?

One place that ensures you the best of it all in successfully pursuing machine learning training in Hyderabad is Great Learning. If you are wondering why does Great Learning stands as the best choices among many institutes that offer the machine learning courses, Here are a few reasons.

The comprehensive structure of the course

This program by Great Learning is designed to deliver complete knowledge over all the theories of machine learning. This program constitutes 120 hours of classroom teaching besides offering 8 hands-on projects and 1 capstone project which will be accomplished under the constant supervision of an expert mentor.

Top Faculty

The course will be delivered by the highly experienced faculty members who hold their academic degrees from the world's best schools. The machine learning classes in Hyderabad are also trained by a few of the intense business practitioners of machine learning which imparts a high quality of knowledge and an in-depth perception of practical applications of machine learning.


If you are a working professional who can not make it to the classroom sessions, you can prefer the online course which makes it easy by offering maximum flexibility for you to learn.

Career Assistance

Great Learning also does provide career assistance by presenting job opportunities in the field of machine learning with many of the leading IT companies in the market with the assistance of a career mentor. The list of these companies includes Google, Genpact, Cognizant, HSBC, Flipkart, Microsoft, American Express, Accenture, Myntra, etc.