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
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
Earn 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 build your credibility in Machine Learning.
The Machine Learning course curriculum has been designed in partnership with some of the brightest minds in Machine Learning.
- Statistical analysis
- Descriptive statistics
- Probability and Bayes theorem
- Probability distributions
- Hypothesis testing & scores
- Python Overview
- Pandas for pre-processing and exploratory data analysis
- Numpy for statistical analysis
- Matplotlib and Seaborn for data visualization
Machine learning module
- Linear Regression
- Logistic regression
- K-NN classification
- Naive Bayesian classifiers
- Support Vector Machines
- Decision Trees
- Random Forests
- K Means clustering
- Hierarchical clustering
- Principal Component Analysis
- Feature extraction
- Model defects & evaluation metrics
- Model selection and tuning
- Comparison of machine learning models
- Collaborative filtering
- Content based filtering
- Hybrid recommendation systems
- Performance measurement
- Fundamentals of neural networks
- Tensorflow and Keras
- Convolutional Neural Networks
- Evaluation of Deep Learning models
Capstone - The Cornerstone
The Capstone project is a crucial project that has to be completed by every candidate and seizes the entire learning in the course. The projects are co-designed with industry experts and exhibit the trials and difficulties similar to the ones the industry solves using Machine Learning. Through the capstone project, candidates can experience an overall problem solving experience in Machine Learning. All capstone projects are mentored by Industry experts or Great lakes faculty and the candidates are required to present 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 (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
Last FM Dataset
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 machine learning training program in Gurgaon consists of leading academicians in the realm of data analytics along with many experienced industry practitioners from the leading organizations.
Hands-On Learning from AI and Machine Learning Practitioners
Career Support - GL Excelerate
As an associate in the Great Learning's program, GL Excelerate helps you unlock your potential, exhibit your talents and connect to the right opportunities for your next job.
Exclusive recruitment drives
Take part Great Learning job fairs organized every 2 months across cities. Participate in our recruitment drives with top tech companies that need machine learning professionals like you.
Access to curated jobs
Get a list of jobs suitable to your experience and domain. Leverage our dedicated career support team working with 200+ organisations, who’ll counsel you to get the right job.
Interview preparation workshops
Familiarise yourself with generally asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your talents and improve your opportunities of getting selected.
Personalised career mentorship
Get an expert career mentor personalised to your experience and industry, who will advise you to navigate your path to career success. Get direction on choosing the best opportunities, building a great CV and much more.
Organizations Participating in Recruitment Drives
Alumni Success Stories
Senior Lead- Analytics
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.
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.
The PG Machine Learning Course Delhi 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 Delhi class comes from some of the leading organizations.
- 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).
Fill application form
Admissions committee will review and shortlist.
These candidates will be invited for an interview and an offer will be made to the selected applicants.
Fee for Classroom Mode
Fee for Online Mode
Candidates can pay the program fee through
With our corporate financial partnerships avail education loans at 0% interest rate*.
*Conditions Apply. Please reach out to the admissions team for more details.
Upcoming Application Deadline for PG Machine Learning Course in Delhi
We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch in Delhi. So, we encourage you to apply early and secure your seat.Apply Now
Frequently Asked Questions
- Graduate with a minimum of 50% marks or equivalent
- Familiarity with college-level mathematics and statistics
- Comfortable with Programming
- 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.
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.
The Machine learning classes in Gurgaon will take place at the Great Learning campus with in the city. Apply Now - Machine Learning Course Demo.
The Thriving Machine Learning Course in Delhi
The modern world spins around machines and technology is ruling humans in every regard. We are surrounded by electronic as well as programmed systems that make our lives easy. Every machine work based on human instructions. What if the machines start thinking by themselves and predicting the outcomes by learning from their past experiences just like humans do? Sounds crazy right? Well, this technology of teaching machines are nothing but machine learning. The terms Artificial Intelligence and Machine Learning have gained unbelievable popularity these days. Let us know more about this exciting technology.
What is Machine Learning?
Machine learning is a data analytics method that follows a systematic approach in training computers to generate the natural results of human brains. The process of Machine learning requires the systems to employ a lot of data, research and acquire knowledge by themselves.
Every individual becomes intelligent by learning from his/her past experiences. In the same way, teaching machines to learn from the past data is causing them becoming intelligent.
Machine learning is a crucial subset of Artificial Intelligence. Machine learning can simply be explained as the powerful application of the past data by the machine to resolve several real world problems efficiently and also answer many questions that promote in effective decision making. The data that we use plays a crucial role in making the right predictions. The tools and practices of machine learning help in generating dynamic algorithms, decision trees and many more for obtaining efficient and optimal solutions.
Job roles of machine learning technology
If you are keen on pursuing a machine learning course, you must want to know what are the various job roles offered in this field. Let us look into the various passionate job roles that Machine learning certification grants
- Machine Learning Engineer
- Data Architect
- Data Mining Specialists
- Cloud Architects
- Cyber Security Analysts
- BigQuery Engineer
- Clinical Intelligence Analyst
- Machine Learning Specialist
- Data Manager
- Advanced Analytics Engineer
The astounding pay scale of Machine Learning professionals in the country Machine Learning has been perceived as the Best Job of 2019 with an unbelievable growth rate of 344%. The job roles of machine learning in India are regarded as one among the highest paid. The salary scale of a machine learning professional in India fluctuates from 3 to 24 lakh considering several factors. The average salary of a machine learning engineer in India is reported as 8.7 lakhs which is better than many other job roles. This is also one of the major reasons why many are strongly seeking a career in this platform.
Scope for Machine Learning in Delhi and Gurgaon
Gurgaon is one of the finest city which is considered as one of the major IT hubs of the country. Gurgaon is well known for its accelerated urbanization and advancing IT culture. Many top organizations have Gurgaon as their headquarters. Machine learning in Gurgaon has an immense market as various sectors have been accommodating the technology of machine learning for its amazing advantages. Many in Gurgaon and Delhi are exploring a career in the field of machine learning. Even as the city Gurgaon is also close to the country's capital Delhi and Noida, there is a huge scope for anyone that pursues this course in Gurgaon than any other place in the country. Currently, there are more than 3000 job vacancies for several job roles in the field of machine learning across these three cities. Delhi is another emerging IT hub of the country. This clearly states that there is a wide demand for machine learning technology. Hence, taking up a machine learning course in Delhi and choosing a career in the field of machine learning is the best choice.
The Impact and Application of Machine Learning In the modern world
Machine Learning acquiring demand across many industries and domains these days.
- Face Detection
Machine learning applications include face detection, voice recognition, translation and many more. These applications are also used widely in social media streams, and by the government, sector to grant safety and protection to the public.Machine learning applications include face detection, voice recognition, translation and many more. These applications are also used widely in social media streams, and by the government, sector to grant safety and protection to the public.
- Design smart homes
Virtual Personal Assistants is employed 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 absolute ease in operating smart televisions, window treatments, music systems and many more.
- Enhances the shopping experience on e commerce sites
Machine learning does the task of studying the previous purchases of the consumer and makes appropriate suggestions of the commodities in the field of e-commerce and this facilitates the user to experience personalized shopping.
- Traffic regulation
Machine learning helps in navigation by offering the most reliable traffic predictions. This application benefits in traffic control and also reduce the time consumption. The GPS that we use in our daily routine is one of the applications of machine learning.
- Fraud detection
Machine learning contributes greater aid in financial services by endeavoring a few of the significant advantages such as fraud detection, risk control, loan underwriting, etc.
- Enhancement in providing medical services
One of the biggest advantages that machine learning provides to the field of medical science is assisting the physicians in ascertaining accurate results of disease identification and equip them to give the best treatment. This application has been extremely helpful in treating dreadful diseases like cancer.
What are the major prerequisites of pursuing the machine learning course?
Practical knowledge in data mining
As machine learning involves a lot of operations on huge data sets, it is helpful for you to have skills in working with massive amounts of data such as visualization of data, big data, SQL, performing ETL operations, SAS, etc.
Mathematics is one of the core aspects of machine learning theories and concepts. So possessing a basic knowledge of mathematical theories like linear algebra, probability, statistics, calculus benefits a better understanding and derivation of efficient algorithms.
Owning hands-on experience in programming languages like Python, Java, R, C++, Prolog, Lisp, etc that assist you in learning the concepts and methods of the machine learning program. Python is widely applied among all the above mentioned programming languages.
Data Visualization tools
Having hands on experience in various data visualization skills will help you do a good job of displaying the results acquired by applying the techniques of Machine learning. As reporting is one of the major responsibilities of a machine learning engineer, it is important to know about the various data visualization tools