PGP - Artificial Intelligence & Machine Learning

Master AI - The Next Digital Frontier

PGP - Artificial Intelligence & Machine Learning

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Application deadline 24th Jan 2019

Academic Partner

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
Get support on your learning journey
  • Learn from industry practitioners from leading organizations
  • Get dedicated learning support from in-house technical experts
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

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.

Curriculum

Foundations
  • 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+ 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.

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:

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
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
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

February 2019

Mumbai

February 2019

Chennai

25th Jan 2019

Gurgaon

1st Feb 2019

Hyderabad

February 2019

Pune

25th Jan 2019

Online + Mentorship

To be announced

Upcoming Application Deadline for Program

24th Jan 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

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
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 your learn effectively.
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.
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
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 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.
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
You can learn concepts online with recorded sessions, and clarify your doubts at the end of the week with online 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
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 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.