• Next Cohort starts: Aug 22, 2020Limited no. of seats available
  • Program Duration: 12 monthsAt 5-10 hours/week
  • Live Online ClassroomLearning Format

Program Overview

This Post Graduate Program in AI and Machine Learning covers statistics, Python, machine learning, deep learning networks, NLP, and reinforcement learning. You will build and deploy deep learning models on the cloud using AWS SageMaker and Work on voice assistance devices, build Alexa skills, and gain access to GPU-enabled labs.

KEY FEATURES

  • 25+ hands-on Projects on GPU enabled Labs
  • 450+ hours of blended learning
  • Capstone Project in 3 Domains
  • Purdue Post Graduate Program Certification
  • Purdue Alumni Association Membership
  • Industry-recognized IBM certificates
  • Masterclasses from Purdue

Post Graduate Program Advantage

This comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM, will help you grow your career in AI, Machine Learning, and Deep Learning.

Partnering with Purdue University

This Post Graduate Program in AI and Machine Learning is in partnership with Purdue University, one of the world's leading research and teaching institutions, offering higher education at the highest proven value. Purdue is committed to your success, changing the student experience with a focus on collaboration and the creative use of technology.

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Upon completion of this program, you will:
  • Receive a joint Purdue-Simplilearn certification
  • Become entitled for membership in the Purdue University Alumni Association
Purdue Certification

PROGRAM IN COLLABORATION WITH IBM

This program is in collaboration with IBM, a leading innovator in Data Science and AI, providing industry-relevant exposure.

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  • Industry recognized IBM certificates
  • Access to IBM Watson for hands-on training and practice
  • $1200 worth of IBM Cloud credits for hands-on platform exposure
IBM Certification

Program Details

Unlock your potential as an AI professional with our PGP AI/ML program. You will learn about various AI-based technologies, including machine learning, deep learning, computer vision, natural language processing, speech recognition, and reinforcement learning.

LEARNING PATH

Electives:
  • Get a practical introduction on how to build a chatbot with Watson Assistant and then deploy your chatbot to a real website in less than five minutes.

  • Learn how to write R code, R’s data structures, understand how statistical modeling relates to Machine Learning, and how to do a comparison of each using R.

  • Learn the basics of Git—a version control system (VCS), and understand how to set up Git in your system, list the three-stage workflow in Git, create branches and track files, create a repository in Git, GitHub and more.

  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science and AI.

  • Attend this online interactive industry master class to gain insights about advancements in Data Science, AI and Machine Learning techniques.

SKILLS COVERED

  • Statistics
  • Python
  • Supervised learning
  • Unsupervised learning
  • NLP
  • Neural Networks
  • Computer Vision
  • GANs
  • Keras
  • Tensorflow
  • Reinforcement Learning
  • Speech Recognition
  • Recommendation Systems
  • Ensemble Learning
  • NumPy

TOOLS COVERED

WatsonpythontensorflowkerasNLKTScikitLearnMatPlotlibOpen AI GymAmazon SagemakerkubernetesAlexaDjangoFlask

Industry Project

  • Project 1

    Help Twitter Combat Hate Speech Using NLP and Machine Learning

    Using NLP and Machine Learning, build a model to identify inappropriate tweets that should be removed from the platform to prevent social hate and negativity.

    Help Twitter Combat Hate Speech Using NLP and Machine Learning
  • Project 2

    Help Zomato Predict Rating from the Review

    Help Zomato to detect and clean the cases of rating and review mismatch, ensuring ratings reflect the true reviews helping to build customer trust.

    Help Zomato Predict Rating from the Review
  • Project 3

    Fare Prediction for Uber

    Uber wants to improve the accuracy of its fare prediction model. Help Uber by choosing the best data and AI technologies and building its next-generation model.

    Fare Prediction for Uber
  • Project 4

    Test Bench Time Reduction for Mercedes-Benz

    Mercedes-Benz wants to the time on its test-bench to reduce the time it takes a car to get to the market.Build and optimize the Machine Learning algorithm to solve this problem.

    Test Bench Time Reduction for Mercedes-Benz

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

Program Advisor

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of Science at Purdue University

    Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of Science at Purdue University and named the 2018 Distinguished Lecturer in Data Science by the IEEE. He provides expert advice on applications of data science.

  • Dr. Christopher G. Brinton

    Dr. Christopher G. Brinton

    Assistant Professor of Electrical and Computer Engineering at Purdue University

    Dr. Christopher G. Brinton, assistant professor at Purdue University and co-founder of machine intelligence analytics company Zoomi, Inc. specializes in research on AI and networks. He has built award-winning social learning network algorithms and network optimization models.
     

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Learner's Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    SAP ERP
    Godrej & Boyce
    Wells Fargo
    Accenture
    ExxonMobil
    Target
    Boeing
    Siemens
    Infosys
    All India Institute of Medical Sciences
    Hewlett-Packard
    IBM
  • The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Associate - 12%Midlevel - 35%Senior-level - 43%Executive - 10%
    Total Years of Experience
    Less than 3 years - 13%3-5 years - 17%5-8 years - 12%8+ years - 58%
  • The class has learners with varied educational qualifications from excellent institutions
    Qualification
    Bachelors - 65%Masters - 30%Others - 5%
    Universities
    BITS Pilani
    IIT Hyderabad
    IIIT Allahabad
    McGill University
    IIT Bombay
    IIM Kozhikode
    University of Illinois at Chicago
    AIIMS
    NIT Calicut
    NIT Rourkela
    IIM Lucknow
    IIM Indore

Learner Reviews

  • Janani Varun

    Janani Varun

    I would give a 5-star rating for the Simplilearn course I took. It helps me understand the content easily through online self-learning videos, and trainers assist us with their enriched knowledge, as well.

  • Sneha Patil

    Sneha Patil

    I'll give it a five-star rating...I enrolled in Data Science with Python course…the course content, shared drive, documents, pdf files, and — most importantly, the trainer — all are awesome. If you want to explore and gain knowledge, for sure go for Simplilearn.

  • Karan Pal Singh Bagga

    Karan Pal Singh Bagga

    Sr. Data Analyst

    It is my first experience with Simplilearn, and it is fantastic. The course content is excellent as compared to any other institute. Faculties are very experienced and skillful.

  • Shailender Kumar

    Shailender Kumar

    The Deep Learning with Tensorflow course was handled very well by the Simplilearn instructor – Mr. Shivendra Kumar. He took many pains to advance this highly technical course and answered all students’ questions (even multiple times) clearly without compromising the quality of the training. I recommend this course and the faculty.

  • Apoorva N R

    Apoorva N R

    It has been a great learning experience so far. The entire course is very informative, and the trainers are incredibly knowledgeable. The course format is comprehensive and helps in a better understanding of the course concepts. Lab support is excellent. Thanks to Simplilearn for making learning accessible to employees.

  • Siddharth Pandey

    Siddharth Pandey

    Embedded UI/UX Expert | Technical Lead | React Expert

    The best part about this course is that everything is covered the classroom training. The course content and format are also up to the mark. There are many new things to learn, and the cloud lab has been very helpful. The trainers are experienced and knowledgeable.

Industry Trends

Artificial Intelligence is the next digital frontier, with profound implications for business and society. The global AI market size is projected to reach $202.57 billion by 2026, according to Fortune Business Insights.
  • AI and Machine Learning Industry Growth

    57.2% Annual Growth

    for AI market according to Grandview Research

    58 million new jobs

    AI might create by 2022, according to the Forbes.
    Machine Learning Engineer Annual Salary
    $79KMin
    $121KAverage
    $163KMax
    Source: Glassdoor
    AI and Machine Learning Hiring Companies
    Adobe
    Microsoft
    Google
    Amazon
    IBM
    Samsung
    Source: Indeed

Why Simplilearn

Simplilearn’s blended learning model brings classroom learning experience online with its world-class Learning Management System (LMS). It combines instructor-led training, self-paced learning, and personalized mentoring to provide an immersive learning experience.

  • Self-Paced Online Video

    A 360-degree learning approach that you can adapt to your learning style

  • Live Virtual Classroom

    Engage and learn more with these live and highly-interactive classes alongside your peers

  • 24/7 Teaching Assistance

    Keep engaged with integrated teaching assistance in your desktop and mobile learning

  • Online Practice Labs

    Projects provide you with sample work to show prospective employers

  • Applied Projects

    Real-world projects relevant to what you’re learning throughout the program

Admission Details

APPLICATION PROCESS

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

Submit Application

Tell us a bit about yourself and why you want to do this program

Application Review

An admission panel will shortlist candidates based on their application

Admission

Selected candidates can begin the program within 1-2 weeks

ELIGIBLE CANDIDATES

For admission to this Post Graduate Program, candidates should have:

2+ years of work experience preferred

A bachelor's degree with an average of 50 percent or higher marks

Basic understanding of programming concepts and mathematics

ADMISSION COUNSELORS

We have a team of dedicated admissions counselors who are available to guide you as you apply to the program. They are available to:

  • Address questions related to your application
  • Provide guidance regarding financial aid (if required)
  • Help answer questions and better understand the program
Talk to our admissions counselors now!

Admission Fee & Financing

The admission fee for this program is $ 5,000. This fee also includes all applicable program charges including Purdue Alumni Association Membership fees.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Pay in Installments

You can pay monthly installments for the Post Graduate Program using the Affirm payment option starting at 0% interest rates and no hidden fees.

Affirm

Other Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 5,000

Apply Now

PROGRAM BENEFITS

  • Complete this program while you work
  • Rigorous curriculum designed by industry experts
  • Purdue Alumni Association Membership from Purdue University
  • AI to create 58 million new jobs by 2022
  • Active recruiters include Accenture, Amazon, IBM, and more

PROGRAM SCHEDULE

Welcome Class for Purdue AI and Machine Learning Program
  • Date: 22 Aug-22 Aug

    Time : 08:30 - 10:30 CDT

    Class Type:Weekend (Sat - Sun)

PG AI - Data Science with Python
  • Date: 29 Aug-3 Oct

    Time : 08:30 - 12:30 CDT

    Class Type:Weekend (Sat - Sun)

PG AI - Machine Learning
  • Date: 17 Oct-29 Nov

    Time : 08:30 - 12:30 CDT

    Class Type:Weekend (Sat - Sun)

PG AI - Deep Learning with Tensorflow and Keras
  • Date: 5 Dec-3 Jan

    Time : 07:30 - 11:30 CST

    Class Type:Weekend (Sat - Sun)

PG AI - Advanced Deep Learning and Computer Vision
  • Date: 16 Jan-14 Feb

    Time : 07:30 - 11:30 CST

    Class Type:Weekend (Sat - Sun)

PG AI - Natural Language Processing and Speech Recognition
  • Date: 27 Feb-11 Apr

    Time : 07:30 - 11:30 CST

    Class Type:Weekend (Sat - Sun)

PG AI - Reinforcement Learning
  • Date: 24 Apr-23 May

    Time : 08:30 - 12:30 CDT

    Class Type:Weekend (Sat - Sun)

PG AI - AI and Machine Learning Capstone Project
  • Date: 6 Jun-27 Jun

    Time : 08:30 - 10:30 CDT

    Class Type:Weekend (Sat - Sun)

Got Questions regarding the Program dates?

FAQs

  • What is AI and machine learning?

    AI stands for “artificial intelligence” and refers to the study and development of computer systems that are able to perform tasks traditionally limited to human intelligence, such as decision-making and speech recognition. The related field of Machine Learning involves the study of giving computers the ability to learn and adapt without being explicitly programmed. These closely aligned fields of study are on the cutting edge of technology and in high demand, which is why AI and Machine Learning courses present such an enormous opportunity for students.

  • What are the eligibility criteria for the Post Graduate Program in AI and Machine Learning in partnership with Purdue University?

    For admission to the Post Graduate Program in AI and Machine Learning, you should have:

    • A bachelor's degree with an average of 50% or higher marks
    • Basic understanding of programming concepts and mathematics
    • Working Professionals with 2+ years of experience are preferred to apply for this program

  • What are the financial aids available to enroll in this program?

    We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.

  • What is the admission process for this Post Graduate Program in AI and Machine Learning in partnership with Purdue University?

    The admission process consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee

  • What should I expect from the Purdue Post Graduate Program in AI and Machine Learning?

    As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:

    • Purdue Post Graduate Program certification
    • Industry recognized certificates from IBM and Simplilearn
    • Purdue University Alumni status
    • Lifetime access to all (the core) of the e-learning content created by Simplilearn 
    • $1,200 worth of IBM Cloud credits for your personal use
    • Access to IBM Cloud platforms featuring IBM Watson and other cloud services

  • What certificate will I receive?

    Upon successful completion of the program, you will be awarded a Post Graduate Program in AI and Machine Learning certification by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.

  • Will any preparation materials be provided to help me get started?

    Once you make the first installment of the program fee, you will get access to a preparatory course. You will have to go through the assigned course before coming for the first class. The course will have 8-10 hours of self-paced learning content in the form of videos.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified on your first attempt. They engage students proactively to assure the course path is followed and to help you enrich your learning experience, from class onboarding to project mentoring and job assistance.

  • Who are the instructors for this program?

    All of our highly qualified instructors are industry experts with years of relevant experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain part of our faculty.
     

  • How do I earn the Post Graduate program certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Post Graduate Program certificate that will testify to your skills as an expert in AI and Machine Learning.

    Course Course completion certificate Criteria
    Programming Refresher Required 85% of Online Self Paced completion
    Introduction to AI Required
    Statistics Essential Required
    Data Science with Python Required
    1. 85% of online self-paced completion or attendance of 1 live virtual classroom, 
    2. a score above 75% in the course-end assessment,
    3. and successful evaluation in at least 1 project
    Machine Learning Required
    Natural Language Processing and Speech Recognition Required
    Deep Learning with Tensorflow and Keras Required
    Advanced Deep Learning Required
    Reinforcement Learning Required
    AI and Machine Learning Capstone Project Required Attendance of 1 live virtual classroom and successful completion of the capstone project

     

  • I am not able to access the online program. Who can help me?

    Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact help and support.
     

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course.

  • If I want to cancel my enrollment, can I get a refund?

    No refund will be applicable once you make the part/full payment.

  • * Disclaimer

    All programs are offered on a non-credit basis and are not transferable to a degree.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.