PGP - Artificial Intelligence & Machine Learning

Master AI - The Next Digital Frontier

PGP - Artificial Intelligence & Machine Learning

Weekend Classroom | Online Mentorship
  • Bangalore
  • Chennai
  • Hyderabad
  • Gurgaon
  • Pune
  • Mumbai
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Application deadline 13th Dec 2018

Post graduate program by

Why Join PGP-AIML?

India's most exhaustive AI & ML program

The program covers widely used AI & ML technologies and applications including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Intelligent Virtual Agents, Neural Network and Tensor Flow.

Flexibility of learning in class or online

In the classroom format, 250 hours of the program is delivered through classroom lectures by our distinguished faculty that happen one weekend every month. In the online format, you learn from lecture videos coupled with weekly online mentorship sessions with AI & ML experts in small groups.

India's top ranked institute

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.

Corporate collaboration

Our corporate partners are deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation. The program features case studies from some of the top global companies like Uber, Netflix, Google, Amazon etc.

PGP-AIML Experience

AI & ML are among the most exciting fields in the industry right now. There is a high demand for AI & ML professionals in the industry but it is crucial to have relevant skills, exposure and academic pedigree to be able to capitalise on these opportunities. The PGP-AIML program enables candidates to make this transition to high-growth careers in Machine Learning, Deep Learning and Data Science.

Innovative approach

Our program offers a learning environment that causes minimal disruptions to your work schedule. In both the classroom and online formats sessions are conducted during the weekends and are assisted by online webinars, discussions and assignments for holistic learning. For every assignment, you will also get the model solution as a recorded walkthrough.

Focus on deep learning

Candidates spend nearly half the program mastering and applying deep learning algorithms like neural networks, deep neural networks and their variations like CNN and RNN which are used to in domains like computer vision & natural language processing.

Hands-on projects

Throughout the program, candidates would be working on multiple mini-projects, a capstone project and hackathons. The capstone is a mandatory industry project where the candidate works on real-life business problems under the guidance of an expert faculty or industry mentor.

Labs with GPU access

Work on our accelerated computing platform with GPUs and all other software tools that you will need to build and test deep learning models on complex data sets. You can access this lab from anywhere and won’t need to struggle with lack of computing power and incompatibility issues.

ePortfolio & Github

All the hands-on work gets captured in every candidate’s Machine Learning ePortfolio. As part of this program, you will also be making all of your project submissions on Github. The ePortfolio and Github profile are shareable documents that our participants use to indicate their expertise and exposure in AI & ML.

Peer Learning

The PGP-AIML class consists of working professionals from excellent organizations and backgrounds with diverse experiences across industries and roles. As a participant, interactions with such a peer group will enhance your learning experience.

Delivery Formats

Weekend Classroom | 12 month
  • 250 hours of weekend classroom sessions, one weekend every month for 12 months
  • Additional 150+ hours of online learning including self-learning videos, reading material and projects
  • 12+ hands-on projects and 1 capstone project under the guidance of a mentor
  • Participate in Great Learning's AI & ML Hackathons
Online Mentorship | 12 month
  • Learn from 150+ hours of online video content from top AI & ML faculty
  • 2 hours of online mentorship sessions with AI & ML experts every weekend to clear doubts and project assistance
  • 12+ hands-on projects and 1 capstone project under the guidance of a mentor

Great Lakes 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 establish your credibility in AI and ML.


  • Descriptive Statistics
  • Inferential Statistics
  • Probability & Conditional Probability
  • Python Basics
  • Python functions, packages and routines
  • Pandas, NumPy, Matplotlib
Machine Learning
  • Linear regression
  • Multiple regression
  • Logistic regression
  • K-NN classification
  • Naive Bayes classifiers
  • Support vector machines
  • K-means clustering
  • Hierarchical clustering
  • High-dimensional clustering
  • Expectation Maximization
  • Decision Trees
  • Random Forests
  • Bagging
  • Boosting
  • Value based methods Q-learning
  • Policy based methods
  • User & Item based recommendation systems
  • Collaborative filtering
  • Content based filtering
  • Hybrid recommendation systems
Artificial Intelligence
  • Neural Network Basics
  • Deep Neural Networks
  • Recurrent Neural Networks (RNN)
  • Deep Learning applied to images using CNN
  • Tensor Flow for Neural Networks & Deep Learning
  • Convolutional Neural Networks
  • Keras library for deep learning in Python
  • Pre-processing image Data
  • Object & face recognition
  • Visualizing features & kernels
  • TensorBoard – Visualizing Learning, Graph Visualization
  • Synthesis and style transfer
  • Case Study: Visualizing a convoluted neural network
  • Statistical NLP and text similarity
  • Syntax and parsing techniques
  • Text summarization techniques
  • Semantics and Generation
  • Uninformed and heuristic-based search techniques
  • Adversarial search and its uses
  • Planning and constraint satisfaction techniques
Languages and tools
  • Python
  • Data libraries like Pandas, Numpy, Scipy
  • Python ML library scikit-learn
  • Python visualization library Matplotlib
  • NLP library NLTK
  • Tensor Flow
  • Keras

Capstone Projects

Candidates will work on 12+ mini-projects and a capstone project spread across topics such as Statistical Learning, Supervised / Unsupervised Learning, Ensemble / Reinforcement Techniques, Neural Networks, NLP, Computer Vision using data from companies like Uber, Netflix, AplhaGo (Google), Amazon.

Learning Outcomes

  • done Build skill sets to be relevant for AI and ML roles in the industry
  • done Develop the ability to independently solve business problems using AI & ML
  • done Learn to use popular AI & ML technologies like Python, Tensorflow and Keras to develop applications
  • done Develop a verified portfolio with 12+ projects that will showcase the new skills acquired

Learn from the Best

Learn from the leading academicians in the field of AI and ML and several experienced industry practitioners from leading organizations. An indicative list of AIML experts engaged with us include:

Career Support


Alumni have transitioned to analytics roles


Average salary hike post completion


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.

ePortfolio & resume building sessions

We organize all your mini projects and capstone project into your ePortfolio, a highly shareable and succinct summary of your body of work. Resume building sessions ensure that your resume reflects the attributes that most recruiters and hiring managers look for when hiring for analytical job roles. They help you highlight aspects of your professional experience that are most important for analytics

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 ePortfolio in the most impactful manner to describe your skills set and employability.

Great Learning job board

Get access to Great Learning Job Board during and after you have graduated from the program. A dedicated career support team works along with 200+ organisations that are looking to build their AI & ML capabilities and all this information is timely posted on the job board for our learners and alumni to act upon.

Alumni Success Stories

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).

Selection Process

Step 1

Fill application form

Apply by filling a simple online application form.

Step 2

Application review

Post application you will need to go through a screening call with the Admission Director's office.

Step 3

Final Selection

Your profile along with the review from the screening call will be shared with the Program Director for final selection.

Fee for Classroom Mode

3,25,000 + GST
Admission Fee Created with Sketch. 50,000
1st Installment Created with Sketch. 91,666
2nd Installment Created with Sketch. 91,667
3rd Installment Created with Sketch. 91,667
Total Created with Sketch. 3,25,000

Fee for Online Mode

2,00,000 + GST
Admission Fee Created with Sketch. 50,000
1st Installment Created with Sketch. 50,000
2nd Installment Created with Sketch. 50,000
3rd Installment Created with Sketch. 50,000
Total Created with Sketch. 2,00,000


Candidates can pay the program fee through

Net Banking
Credit/Debit Cards
Cheque, DD

Financial Aid

We have partnered with leading banks and NBFCs through which participants can finance the course by taking up an education loan. Participants can also avail a 0% interest loan through our corporate partnerships. Please contact the admissions team for more information on financial aid that you can avail.

Batch Start Dates


To be announced


January 2019


January 2019


21st Dec 2018


To be announced


January 2019


15th Dec 2018

Upcoming Application Deadline for Program

13th Dec 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

Frequently Asked Questions

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
The program is offered in two formats. Participants can choose between learning through weekend classroom sessions or pursuing the program in an online mode.
Please check the Batch commencement dates above under the Deadlines section.
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.
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).
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.
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.
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 3 years after completion of 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.
We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at
The career support activities in Post graduate program in Artificial intelligence and Machine Learning begin with helping candidates prepare for Artificial Intelligence 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.
You are invited to apply using our online application form. Our admissions panel evaluates all applications and if shortlisted, you will be required to attend an Admissions Screening Interview.
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 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.
We have tie-ups with HDFC Credlia, Avanse Education (DHFL Group), MoneyTap, Credifiable, and Axis Bank for providing education loans.
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.
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.
The candidates need to bring their own laptops; the technology requirement shall be shared at the time of enrolment.