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PG Program – Artificial Intelligence & Machine LearningBangalore | Chennai | Hyderabad | Gurgaon | Pune | Mumbai

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Why PGP - Artificial Intelligence & Machine Learning


covers the most popular and widely used AI & ML technologies and applications including Deep Learning, Computer Vision, NLP, Intelligent Virtual Agents, Neural Network, Tensor Flow, etc.

3 Million+ Learning Hours

We have delivered more than 3 million learning hours to our students and alumni.

India's Top Ranked Institute

Great Lakes has been the preferred choice of technology professional for over 13 years now.


A rigorous and hands-on program with sessions using AI & ML lab and 12+ projects

8 Top Reasons to Join PGP – AI & ML

The Post Graduate Program in Artificial Intelligence and Machine Learning is designed to develop competence in AI and ML for future-oriented working professionals. PGP-AIML is a 12-month program offered in blended format with weekend classroom sessions and online learning.

Employers, leaders and managers all agree on one thing – it is not what you know, but what you can do that matters. And that is our learning philosophy.


PGP-AIML is a rigorous and hands-on program with sessions using AI & ML lab and 12+ projects. You will work on a series of projects and build an e-portfolio of tangible projects and achievements that you can use to demonstrate what you can do.

It features case studies and learning from some of the top global companies like Uber, Netflix, Google, Amazon etc. With case studies, labs and projects, you will develop a practitioner’s understanding of applicability, trade-offs and suitability of various techniques to a variety of problems you’re likely to face.


The program builds a solid foundation by covering the most popular and widely used Artificial Intelligence & Machine Learning technologies and applications including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Intelligent Virtual Agents, Neural Network, Tensor Flow and even reinforcement learning – laying the building blocks for truly expanded capabilities.


Not just an introduction to neural networks and deep learning, you will spend nearly half the program getting your hands dirty with neural networks, deep neural networks and their variations in CNN and RNN.


As part of this program, you will be making all of your submissions on Github. Github is an online repository which helps you to store all the projects and assignments you have done as part of this program in a single place. Today, most companies before hiring new recruits, look into their Github profile to check their technical expertise.


For every assignment you work as part of this program, you will get to see the solutions of the assignment as recorded walkthroughs. Recorded walkthroughs help you to understand the concepts better and analyze a problem from the view of an expert.


You are provided career support through resume workshops and interview preparation sessions. Relevant career opportunities with leading companies are also shared with candidates.


Great Lakes has consistently been ranked in Top 10 Institutes in the country by Analytics India Magazine, Outlook, Business India and others, and has been the preferred choice for Technology Professionals for over 13 years.


The capstone project is a mandatory application-oriented industry project undertaken by all candidates to develop the acumen to solve real-life business problems on Artificial Intelligence & Machine Learning in collaboration with their mentors. Industry experts and Great Lakes faculty mentor you through the entire duration of the capstone project.

A Unique Learning Experience Awaits You

PGP-AIML uses a combination of learning methods that include classroom teaching, self-learning through videos and reading materials, team-based problem solving, and sessions with industry experts. Classes are conducted on weekends and assisted by online webinars, discussions, and assignments. Candidates can access the course content online even after they have graduated.


Our program offers a blended learning environment that causes minimal disruptions to work schedule. Classroom sessions are assisted by online webinars, discussions and assignments for continuous and cumulative learning.


Our corporate partners are deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.


The Capstone project allows you to apply your learning to real industry projects and add it to your portfolio for potential employers to see as a tangible body of work.


Interaction in the classrooms is not just with peers but active employees from different industries who bring their unique experiences to the fore.

Certificate and ePortfolio



Showcase your learning and projects in a snapshot, share the link on social media channels to establish your credibility in Aritificial Intellegence


Program Structure

The Post Graduate Program in Artificial Intelligence and Machine Learning is designed to develop competence in AI and ML for future-oriented working professionals.

Here are some of the key highlights of the program:

Program Name Post Graduate Program in Artificial Intelligence & Machine Learning (PGP-AIML)
Certificate Great Lakes Institute of Management
Duration 12 Months | 30 Days of Classroom Sessions (Weekends)
  • 250 hours of classroom learning, industry lectures and ML lab
  • 150+ hours of online learning (self-learning content, reading material, assessments, projects and assignments)
  • 12+ hands-on projects on AI & ML lab
  • 1 Capstone project
  • Hackathons

Learning Outcomes

  • Develop expertise in popular AI & ML technologies and problem-solving methodologies
  • Develop ability to independently solve business problems using AI & ML
  • Learn to use popular AI & ML technologies like Python, Tensorflow and Keras to develop applications
  • Develop a verified portfolio with 12+ projects that will showcase the new skills acquired

Program Curriculum

Foundations of AI

Topics Covered

  • Python for AI (Significant Functions, Packages and Routines)
  • Statistics & Probability (Descriptive & Inferential Stats, Probability & Conditional Prob)
  • Visualization principles and techniques

Machine Learning: Supervised Learning

Topics Covered

  • Regression (Linear, Multiple, Logistic)
  • Classification (k-NN, naïve Bayes) techniques
  • Support Vector Machines

Machine Learning: Unsupervised Learning

Topics Covered

  • Clustering (k-means, hierarchical, high-dimensional)
  • Expectation Maximization

Machine Learning: Ensemble Techniques

Topics Covered

  • Decision trees
  • Boosting and Bagging
  • Random Forests

Machine Learning: Reinforcement Learning

Topics Covered

  • Value-based methods (e.g. Q-learning)
  • Policy-based methods

Machine Learning: Recommendation Systems

Topics Covered

  • User & Item based Recommendation systems
  • Collaborative filtering
  • Content based filtering
  • Hybrid Recommendation systems

Deep Learning

Topics Covered

  • Neural Network Basics
  • Deep Neural Networks
  • Recurrent Neural Networks (RNN)
  • Deep Learning applied to Images using CNN
  • Tensor Flow for Neural Networks & Deep Learning

Computer Vision

Topics Covered

  • Convolutional Neural Networks
  • Keras library for deep learning in Python
  • Pre-processing Image Data
  • Object & face recognition using techniques above


Topics Covered

  • Visualizing features & kernels
  • TensorBoard – Visualizing Learning, Graph Visualization
  • Synthesis and style transfer
  • Case Study: Visualizing a convoluted Neural Network

Natural Language Processing

Topics Covered

  • Statistical NLP and text similarity
  • Syntax and Parsing techniques
  • Text Summarization Techniques
  • Semantics and Generation

Intelligent Agents

Topics Covered

  • Uninformed and heuristic-based search techniques
  • Adversarial search and its uses
  • Planning and constraint satisfaction techniques


Projects & Tools

During the program duration, candidates will work on projects that will involve hands-on exposure to the following tools:

  • Python
  • Data Libraries such as Pandas, Numpy, Scipy
  • Python Machine Learning library such as scikit-learn
  • Python visualization library such as Matplotlib
  • Natural Language Processing library such as NLTK
  • Tensor Flow
  • Keras

In addition to this, there will be 12+ projects spread across topics such as:

  • Statistical Learning
  • Supervised Learning
  • Unsupervised Learning
  • Ensemble Techniques
  • Reinforcement Learning
  • Neural Networks
  • Natural Language Processing
  • Computer Vision using data from companies such as Uber, Netflix, AplhaGo (Google), Amazon.
  • Intelligent Agents

Candidates will also get access to an AI lab where they will use techniques they learn (in areas such as machine learning and deep learning) and solve problems in Computer Vision and Natural Language Processing.

Here’s a sampling of some of the case studies, labs and projects you will be working on as part of this program.

A Campaign To Sell Personal Loans

Identify potential customers for a personal loan product for a bank, allowing the bank to design targeted marketing campaigns to increase conversion.


The project is about building a classification model to predict the authenticity of a bank note if it is counterfeit or genuine based on the characteristics of the image of the bank note.


Traditional diagnosis of onset of Parkinson’s disease is often difficult, as monitoring the onset requires repeated clinic visits by the patient. You will be building a Machine Learning algorithm over a recording dataset to predict the onset of the disease.


Build a recommendation model that can determine and predict the sentiments of the customer from text reviews on Amazon’s website.


Bike sharing services promise the convenience of bike usage without the need for ownership. A user is typically able to rent a bike from a particular location and return it at different locations. You will build a Neural Network which predicts the number of hourly and daily bikes rented, based on the environmental and seasonal settings.


Image recognition is the process of identifying and detecting an object or a feature in a digital image or video. In this project, you will use the power of Convoluted Neural Network to make the machine learn relevant features from sample images and automatically identify those features in new images.


Facial recognition is a biometric solution that measures unique characteristics about one’s face. Given an image or a video capture of a scene with one or more faces, the project is designed to use Convolutional Neural network to detect and classify each face as one of the persons whose identity is already known or as an unknown face.


Given a series of handwritten digits, interpret these images and classify them appropriately to display actual numbers using neural networks.


Fake news is increasingly becoming a threat to our society. It is typically generated for increasing commercial interests—attract viewers and collect more advertising revenue. In this project, you will build a classifier model which can predict whether a piece of news is fake by using sequential models in Natural Language Processing.


Build a network intrusion detection system and improve the accuracy of your prediction using a series of ensemble techniques.


The purpose of the case study is to build a model which can classify a given silhouette as one of three different types of vehicle, using a set of features extracted from the silhouette.


Build a powerful machine learning model, which can help a telecom company to predict and take action on the likely customers who can switch away from their services.

This is just a small, indicative sample of the kinds of problems you will learn to solve as part of this program. Faculty are constantly working to expose you to a broad array of scenarios and you can expect other such problems as part of your coursework.

Capstone Project

The capstone project is a mandatory application-oriented industry project undertaken by all candidates to develop the acumen to solve real-life business problems on Artificial Intelligence & Machine Learning in collaboration with their mentors. Industry experts and Great Lakes faculty mentor you through the entire duration of the capstone project.


Career Support



Career Transitions within 6 months of completing our programs


Avg Salary hike Post doing our programs


Companies share job opportunities with us


Personal Career Coach

We will be providing you a career coach in the program, where in the candidate will get access to career mentoring depending upon his experience and industry. These coaches are either working in AI and Machine Learning for long or have made a successful transition in the recent past and so the candidate will benefit immensely from his/her guidance on how to build a career in AI and Machine Learning in his/her industry.

e-Portfolio Creation

We organize all your mini projects and capstone project into your e-Portfolio, a highly shareable and succinct summary of your body of work.

Resume Building Sessions

Resume building sessions ensure that your resume reflects the attributes that most recruiters and hiring managers look for when hiring for AI and Machine Learning job roles. They help you highlight aspects of your professional experience that are most important for AI and Machine Learning roles.

Interview Preparation Workshops

During the interview preparation workshops, we discuss commonly asked questions that help you make the most of the interview opportunities you will encounter. During the interview skills development workshop, you will learn how to use your e-portfolio in the most impactful manner to describe your skills set and employability.

Great Lakes Job Board

Get access to Great Lakes Job Board during and after you have graduated from the program. Around 30-40 students of ours transition each month. A dedicated career support team works along with 200+ organizations that are looking to build their AI and Machine Learning capabilities and all this information is timely posted on the job board for our learners and alumni to act upon.


Meet the future industry leaders

The PGP-AIML class consists of working professionals from excellent organizations and backgrounds maintaining an impressive diversity across work experience, roles and industries. Designed for working professionals, the PGP-AIML program has received a wonderful response from candidates.

This is how the class of PGP-AIML looks like.

Industry Diversity
Work Experience Distribution

The PGP-AIML class comes from some of the leading organizations. Some of their current employers include:


Student's Experience

This is one of the beautifully crafted Data-science programme consisting of different aspects around statistics, Industry Sessions, machine learning, articial intelligence and data visualization. The course provides good balance of less theory and more practical application of different techniques covered through sessions taken by renowned faculty. It balances regular and online coursework to t amidst work schedules and enhanced by opportunities to engage with leading faculty and outstanding peers.

Director - Data Analytics and Automation

The peer learning aspect is something that you guys should definitely be proud of. I should say that I have been able to connect with wonderful people, both technically and personally, after enrolling in the course. We are learning and a the same time teaching others newer concepts. I can definitely say that my connections with most of my colleagues in this course will continue for a very long time. I am always an advocate for the quote - when you teach you learn more about what you teach. Here my peers are both teachers and students enriching each other’s technical expertise to a vast extent.

Senior Technical Lead

The capstone project gave me an opportunity to optimize and automate the best practises used in the industry.

Senior Data Analyst

The projects have been tailor made to get one started on the real projects that one would work in companies.

Senior Advisory Consultant

Admission Details for the PG Program - Artificial Intelligence & Machine Learning


Applicants should have a minimum of 3 years of experience in a technology role, including some programming knowledge preferably in Python. For candidates who do not know Python, we offer a free pre-program tutorial.


Interested candidates need to apply by filling a simple online application form. Following which you will need to go through a screening process which happens over a call with the Admission Director's office. Post screening, your profile along with the review from the screening panel will be shared with the Program Director for final selection.

* The admissions will be conducted on a rolling basis and the admission process shall be closed once the requisite number of candidates have taken admission into the program.


Admission Details for the PG Program - AIML

Following are the payment details for the program:


3,25,000 + GST



Tuition Fee

Learning Material

Lab Access


Particular Amount (Exclusive of GST)
Admission Fee 50,000
First Installment 91,666
Second Installment 91,667
Third Installment 91,667
Total 325,000


Candidates can pay the program fee through Cheque, DD, Net banking, Credit Cards or Debit Cards.*


We have partnered with the HDFC Credilla and Avance Education, in case our students want to finance the course by education loan. With the help of our corporate partnership, students can avail a loan at a substantially lower rate of interest than the market.


Mark the Dates

 Here are the Application Deadlines for the program

Upcoming Application Deadline: 18th October 2018

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

Batch commencement dates


30th November 2018


16th November 2018


19th October 2018


December 2018


23rd November 2018


December 2018


Frequently Asked Questions

Here's a list of the commonly asked questions about the program.

What is the eligibility for the program?

The post-graduate program in Artificial Intelligence and Machine Learning is a hands-on program designed for technology professionals. The eligibility criteria are as follows:

  • Minimum of 3 years of work experience in technical role with demonstrated programming experience
  • Familiarity with college-level mathematics and statistics
  • We require that you have completed your bachelor’s degree in Engineering, Computer Science or Mathematics/Statistics.
Do I need to know programming?

Yes, since this program is designed for technology professionals looking to work hands-on with a range of machine learning and deep learning techniques most valued by the industry, you are required to have programming experience. This may be in any programming language and not necessarily in Python, but having experience in Python is an added plus.

What is the program architecture?

This blended learning program consists of about 400 hours of active learning – nearly 250 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.

When does the program begin?

Please check the Batch commencement dates above under the Deadlines section.

Is the post-graduate program in Artificial intelligence and Machine Learning entirely online?

No. You will attend classroom sessions for 1 weekend a month. Classroom sessions are held one weekend a month, alternating as 3 days (Friday, Saturday, and Sunday) and 2 days (Saturday and Sunday) each month. Additional content, live webinars and peer learning happens at your convenience on our online platform. You will complete all assignments and projects on our online lab sessions.

Where will the classes be held? Is accommodation also provided?

The classes for Bangalore batch will be held in the Great Learning centre located in the city. No accommodation is provided at our learning centres. Outstation candidates are requested to arrange accommodation themselves.

Is the program certificate awarded by Great Lakes?

The Post-Graduate Program in Artificial intelligence and Machine learning is awarded by Great Lakes Institute of Management In addition to this, the program is conceived and delivered in collaboration with an impressive array of corporate partners, who contribute to making this program industry-oriented through practical instruction, real-world case studies and expert mentorship.

Will Great Lakes faculty be teaching this program?

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.

Is this program accredited by UGC or AICTE?

The format of the Program does not lend itself to accreditation from AICTE/UGC. However, Great Lakes is an AICTE accredited institution and is one of the few institutions in India to receive accreditation from AMBA (Association of MBAs, UK).

Will I have to spend more on other material?

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.

I am not from a technical background - Can I join?

We require that you have a technical background to get the most out of the program. The class will comprise of seasoned professionals, often with years of technical experience, and we have designed the program with this in mind. For those of you who are interested, and do not have a significant technical background, we offer other programs. Please contact the admissions team for more information.

Will the content be available after the program is completed?

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.

How will I be evaluated during the program?

In this holistic and rigorous program, you will be evaluated continuously. All quizzes, assignments, attendance and projects are used to evaluate and monitor your progress towards the desired learning outcomes.

Can my company sponsor me?

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 this program?

The career support activities at Great Lakes’ post graduate program in Artificial intelligence and 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. We do not, however, offer a placement process as part of the program.

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.

How can I apply for this program?

If you are interested in the Program, you can apply through the online application form. If you need assistance, please write to us at

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.

Will there be any Financial Assistance?

We have tie-ups with HDFC Credlia, Avanse Education (DHFL Group), MoneyTap, Credifiable, and Axis Bank for providing education loans.

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.

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 need to bring their own laptops; the technology requirement shall be shared at the time of enrolment.