PGP - Artificial Intelligence & Machine Learning

Master AI - The Next Digital Frontier

PGP - Artificial Intelligence & Machine Learning

Apply Now
Application deadline 26th Feb 2019

Academic Partners

Why Join PGP-AIML?

3000+

Successful career transitions

4.7

Average program rating

250+

Leading organizations hire our alumni

90%

Course completion rate, highest globally

Get the Career You Want

Master skills that make you future-ready
  • Learn Deep Learning, NLP, Computer Vision and more
  • Develop expertise through 12 projects and a Capstone Project
Become job-ready as you learn
  • Practice projects in state-of-art GPU labs
  • Hone your skills with industry-sponsored hackathons
International Recognition and Dual Certificate
  • Dual Certificate from The University of Texas at Austin and Great Lakes
  • UT Austin Artificial Intelligence program is Ranked #8 by US News
Excelerate your career
  • Access exclusive Great Learning job boards and recruitment drives
  • Get 1-1 career mentorship from hand-picked domain experts

Unique Assisted Learning Formats

In each format, students learn the same modules, take part in the same projects, and gain the same skills employees need, in a systematic and structured manner while balancing their professionals commitments

Online + Mentorship Mode

Recommended if you prefer

Weekend Classroom Mode

Recommended if you prefer
Select your learning mode

The key features of Weekend Classroom Mode

  • 250+ hours of classroom sessions
  • 12 Month program
  • 150+ hours online resources
  • Live faculty interactions and doubt solving
  • Access online content through web and mobile app
  • Interact and network with 50+ peers
  • Lab work with faculty guidance
  • Regular industry sessions with experts

The key features of Online + Mentorship Mode

  • 72+ hours of online mentorship
  • 12 Month program
  • 150+ hours of online resources
  • Individual doubt-solving with expert mentors
  • Access online content through web and mobile app
  • Personalised feedback from industry experts
  • Dedicated Online groups to interact with your mentor
  • Regular industry sessions with experts

India's Most Exhaustive AI & ML Program

Classroom | Online

Dual Certificate & ePortfolio

Earn Dual Certificate from The University of Texas at Austin and Great Lakes. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in AI and ML.

Sample ePortfolio

Curriculum

The PGP-AIML curriculum has been designed by Great Lakes and UT Austin-McCombs with the learning content and assessments created by faculties from Great Lakes, UT Austin, IIT-Bombay and other practising data scientists and AI experts.

Foundations
  • Python Basics
  • Jupyter notebook – Installation & function
  • Python functions, packages and routines
  • Pandas, NumPy, Matplotlib, Seaborn
  • Working with data structures,arrays, vectors & data frames
  • Descriptive Statistics
  • Inferential Statistics
  • Probability & Conditional Probability
  • Probability Distributions - Types of distribution – Binomial, Poisson & Normal distribution
  • Hypothesis Testing
Machine Learning
  • Multiple Variable Linear regression
  • Multiple regression
  • Logistic regression
  • K-NN classification
  • Naive Bayes classifiers
  • Support vector machines
  • K-means clustering
  • Hierarchical clustering
  • High-dimensional clustering
  • Dimension Reduction-PCA
  • Decision Trees
  • Random Forests
  • Bagging
  • Boosting
  • Introduction to Recommendation systems
  • Content based recommendation system
  • Popularity based model
  • Collaborative filtering (User similarity & Item similarity)
  • Hybrid models
Artificial Intelligence
  • Gradient Descent
  • Introduction to Perceptron & Neural Networks
  • Batch Normalization
  • Activation and Loss functions
  • Hyper parameter tuning
  • Deep Neural Networks
  • Tensor Flow & Keras for Neural Networks & Deep Learning
  • Introduction to Convolutional Neural Networks
  • Forward propagation & Backpropagation for CNNs
  • Convolution, Pooling, Padding & its mechanisms
  • CNN architectures like AlexNet, VGGNet, InceptionNet & ResNet
  • Transfer Learning
  • Bag of Words Model
  • TF-IDF
  • POS Tagging
  • Named Entity Recognition
  • Tokenization
  • Stop Words
  • Word Vectorizer
  • Introduction to Sequential data
  • RNNs and its mechanisms
  • Vanishing & Exploding gradients in RNNs
  • Time series analysis
  • LSTMs
  • LSTMs with attention mechanism
  • GRUs - Gated recurrent unit
  • Case study: Machine Translation
  • Case study: Sentiment analysis
  • Semantic segmentation
  • YOLO
  • Siamese Networks
  • Object & face recognition using techniques above
  • Introduction to GANs
  • AutoEncoders
  • How GANs work?
  • Applications of GANs
  • Value based methods Q-learning
  • Policy based methods
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
  • Seaborn

Capstone Projects

Candidates will work on 12+ 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, AlphaGo (Google), Amazon.

Hackathons

Participate in company sponsored hackathons and establish your expertise. Apply your new skills to solve 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
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
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

Learn from the Best

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

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 participant in this program, GL Excelerate helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job.

Exclusive recruitment drives

Attend Great Learning job fairs organised every 2 months across cities. Participate in our recruitment drives with top tech companies looking for professionals like you.

Access to curated jobs

Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 200+ organisations, who’ll recommend the right jobs for you.

Interview preparation workshops

Familiarise yourself with commonly asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your skills and improve your chances of getting hired.

Personalised career mentorship

Get an expert career mentor personalised to your experience and industry, who will help you navigate your path to career success. Get guidance on choosing the right opportunities, building a great CV and much more.

Organizations Participating in Recruitment Drives

Alumni Success Stories

Admission Details

Eligibility

The program is aimed at candidates who:

  • done Possess a Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
  • done Are comfortable using a programming language and are familiar with college-level mathematics and statistics

Great Learning offers a free pre-program tutorial for candidates who do not know Python

Selection Process

Step 1

Fill application form

Apply by filling a simple online application form.

Step 2

Get reviewed

Go through a screening call with the Admission Director's office.

Step 3

Join the Program

Your profile will be shared with the Program Director for final selection. You’ll be one of the select few to join our program.

Fee for Weekend Classroom Mode

3,25,000 + GST

* The program fee will be revised to ₹3,75,000 w.e.f. 1st Mar 2019

Installments
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 + Mentorship Mode

2,00,000 + GST

* The program fee will be revised to ₹2,50,000 w.e.f. 1st Mar 2019

Installments
Admission Fee Created with Sketch. 25,000
1st Installment Created with Sketch. 58,334
2nd Installment Created with Sketch. 58,333
3rd Installment Created with Sketch. 58,333
Total Created with Sketch. 2,00,000

Payments

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
Credit/Debit Cards
Cheque, DD

Financial Aid

Great Learning offers all program participants an education loan from our finance partners. Participants can also avail a 0% interest loan through our corporate partnerships. Please reach out to the admissions team for more information on financial aid.

Batch Start Dates

Bangalore

March 2019

Mumbai

1st Mar 2019

Chennai

March 2019

Gurgaon

April 2019

Hyderabad

March 2019

Pune

March 2019

Online + Mentorship

2nd Mar 2019

Upcoming Application Deadline for Program

26th Feb 2019

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

Artificial Intelligence Program offered by University of Texas at Austin is ranked No. 8 in US by US News Best Science School, 2018
The PGP-AIML curriculum has been designed by Great Lakes and UT Austin-McCombs with the learning content and assessments created by faculties from Great Lakes, UT Austin, IIT-Bombay and other practising data scientists and AI experts.
Upon completion, all successful participants get Dual Certificates from Great Lakes and the University of Texas at Austin.
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:
  • Possess a Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
  • Are comfortable using a programming language and are familiar with college-level mathematics and statistics.
You’ll learn concepts and theory in monthly weekend classes. You can revise what you’ve learnt in the classroom with online learning resources such as videos, reading material. You will get in-person guidance from the faculty for solving doubts, doing lab work, and completing projects.
The classroom faculty will be present to clear all your doubts. They will also guide you in your lab sessions and for projects. All Great Learning faculty are highly experienced and technically skilled, and will be eager to make you learn effectively.
Classroom sessions are delivered by Great Lakes faculty in conjunction with technology specialists with decades of Advanced Artificial Intelligence 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.
Please check the Batch commencement dates above under the Deadlines section.
You can find the details of the mentors in the program page. Suffice to say, the mentors are industry practitioners with leading organizations and come with extensive experience in their fields.
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 aiml@greatlearning.in
As a participant in this program, our career support initiative GL Excelerate helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job with following activities.

  • Exclusive recruitment drives
    Attend Great Learning job fairs organised every 2 months across cities. Participate in our recruitment drives with top tech companies looking for professionals like you.
  • Access to curated jobs
    Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 200+ organisations, who’ll recommend the right jobs for you.
  • Interview preparation workshops
    Familiarise yourself with commonly asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your skills and improve your chances of getting hired.
  • Personalised career mentorship
    Get an expert career mentor personalised to your experience and industry, who will help you navigate your path to career success. Get guidance on choosing the right opportunities, building a great CV and much more.
  • 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 aiml@greatlearning.in
    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.
    Artificial Intelligence Program offered by University of Texas at Austin is ranked No. 8 in US by US News Best Science School, 2018
    The PGP-AIML curriculum has been designed by Great Lakes and UT Austin-McCombs with the learning content and assessments created by faculties from Great Lakes, UT Austin, IIT-Bombay and other practising data scientists and AI experts.
    Upon completion, all successful participants get Dual Certificates from Great Lakes and the University of Texas at Austin.
    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:
    • Possess a Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
    • Are comfortable using a programming language and are familiar with college-level mathematics and statistics.
    You can learn concepts online with recorded sessions, and clarify your doubts at the end of the week with online personalized mentoring sessions with an industry expert.
    You will get weekly assistance from expert industry practitioners, who will clarify your doubts, and offer guidance regarding your projects.
    Please check the Batch commencement dates above under the Deadlines section.
    You can find the details of the mentors in the program page. Suffice to say, the mentors are industry practitioners with leading organizations and come with extensive experience in their fields.
    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 aiml@greatlearning.in
    As a participant in this program, our career support initiative GL Excelerate helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job with following activities.

  • Exclusive recruitment drives
    Attend Great Learning job fairs organised every 2 months across cities. Participate in our recruitment drives with top tech companies looking for professionals like you.
  • Access to curated jobs
    Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 200+ organisations, who’ll recommend the right jobs for you.
  • Interview preparation workshops
    Familiarise yourself with commonly asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your skills and improve your chances of getting hired.
  • Personalised career mentorship
    Get an expert career mentor personalised to your experience and industry, who will help you navigate your path to career success. Get guidance on choosing the right opportunities, building a great CV and much more.
  • 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 aiml@greatlearning.in
    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.