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PG Program – Artificial Intelligence & Machine Learning

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Application Deadline - 22nd February 2018

Why PGP - Artificial Intelligence & Machine Learning

INDIA'S MOST EXHAUSTIVE AI AND ML PROGRAM

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.

1.5 Million+ Learning Hours

We have delivered more than 1.5 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.

INTERNATIONAL COLLABORATION

Dual Certification from Great Lakes & Stuart School of Business, IIT Chicago.
 

6 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.

COMPREHENSIVE CURRICULUM

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, Intelligent Virtual Agents, Neural Network, Tensor Flow any many more.

HANDS-ON PROJECTS

PGP-AIML program is a rigorous and hands-on program with sessions using AI and ML lab and 8 mini projects. It features case studies and learning from some of the top global companies like Uber, Netflix, Google, Amazon etc. These hands-on projects will give you ample material to prove your AI & ML experience at interviews, and help you become productive from day one.

Blended Format

The program is delivered in a blended mode to suit the tight schedules of busy working professionals. Weekend classroom sessions are assisted by online learning, discussions, and assignment that keep your learning continuous and cumulative

CAREER SUPPORT

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

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.

INTERNATIONAL RECOGNITION

By virtue of being part of an internationally recognized program, you will receive dual certification from Stuart School of Business, Illinois Institute of technology, Chicago (USA) and Great Lakes Institute of Management.
 

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. PGP-AIML is a 12-month blended program with weekend classroom sessions and online learning. Classes will be held one weekend a month at the Great Learning centre and supplemented by online learning content. The program constitutes of nearly 400 learning hours with 250 classroom learning hours.

Delivery Mode of the program

  • Weekend Classroom + Online Learning
  • Learn by doing (Hands-on Sessions using AI and ML lab)
  • Learning from both academic faculty and industry practitioner experts
  • Peer Learning

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 8 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

Project

  • Visualizing the data from a year's taxicab and Uber rides in NYC

Machine Learning: Supervised Learning

Topics Covered

  • Regression (Linear, Multiple, Logistic)
  • Classification (k-NN, naïve Bayes) techniques
  • Decision Trees

Project

  • Combine clustering and classification to build a network intrusion detection system. Improve accuracy and precision by using ensembles of techniques.

Machine Learning: Unsupervised Learning

Topics Covered

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

Project

  • Combine clustering and classification to build a network intrusion detection system. Improve accuracy and precision by using ensembles of techniques.

Machine Learning: Ensemble Techniques

Topics Covered

  • Boosting and Bagging
  • Random Forests

Project

  • Combine clustering and classification to build a network intrusion detection system. Improve accuracy and precision by using ensembles of techniques.

Machine Learning: Reinforcement Learning

Topics Covered

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

Project

  • Combine various techniques in financial trading, and use reinforcement learning to arrive at an optimal strategy

Deep Learning

Topics Covered

  • Neural Networks Basics
  • Deep Neural Networks
  • Tensor Flow for Neural Networks & Deep Learning

Project

  • Using TensorFlow, create an app that interprets images of numbers (like house numbers as seen in your camera) and outputs actual numbers

Computer Vision

Topics Covered

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

Project

  • Using TensorFlow, create an app that interprets images of numbers (like house numbers as seen in your camera) and outputs actual numbers

Natural Language Processing

Topics Covered

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

Project

  • Set up a conversational chat-bot to assist searches on a website and make them more accurate

Intelligent Agents

Topics Covered

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

Project

  • Implement a planning search algorithm - solve a logistics/delivery problem using a planning framework and appropriate search 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 8 mini projects spread across topics such as:

  • Supervised Learning
  • Unsupervised Learning
  • Ensemble Techniques
  • Reinforcement Learning
  • Deep Learning
  • NLP
  • Computer Vision using data from companies such as Uber, Netflix, AplhaGo (Google), Amazon.

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.

 

Learn from the Best

The faculty pool of the program consists of leading academicians in the field of AI and ML along with several experienced industry practitioners from leading organizations.

Dr. Narayana Darapaneni

Professor

Mukesh Rao

Machine Learning Trainer & Consultant

Dr. R.L. Shankar

Professor

Vice President, American Express

 

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

The admissions are conducted on rolling bases and the admission process is closed once the requisite number of candidates have been enrolled in the program.

Eligibilty

Applicants should have a minimum of 5 years of experience in a technology role, including at least 2 years of programming experience.

Selection Process

Interested candidates need to apply by filling a simple online application form. The Admissions Committee will review all the applications and shortlisted candidates are required to attend a skype/telephonic interview with the Program Director for final selection.

*Admissions will be closed once the requisite number of candidates have been admitted into the program.

 

Admission Details for the PG Program - AIML

Following are the payment details for the program:

Fees

Rs.4,20,000+ GST

Includes tuition fees, lab access, learning material and cafeteria access on the days of classes.

 

Payments

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

*Great Learning does not accept cash payments and issues receipts for all fee payments made towards all our programs.

Financial aid

Our tie-ups with several lending partners like HDFC Credila, MoneyTap, Credifiable, Axis Bank, and Avanse Education, for students who need financial help, ensure that money is not a constraint in the path of learning.

 

Mark the Dates

 Here are the Application Deadlines for the program

Application Deadline: 22 February 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

Batch Commencement Date: April 2018 (Admissions Open)

Bangalore

April 2018

Need More Information? Download PGP - Artificial Intelligence & Machine Learning course e Brochure for complete information.