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

Program Overview

This Post Graduate Program in AI and Machine Learning in Boston 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, 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 Applied 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.

Read More
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.

Read More
  • Industry recognized IBM certificates
  • Access to IBM Watson for hands-on training and practice using IBM Cloud Lite account
IBM Certification

Program Details

Unlock your potential as an AI and ML professional with our PGP in AI and Machine Learning 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 about R’s data structures, how to write R code, understand how statistical modeling relates to machine learning, and how to do a comparison of each using R.

  • Learn the basics of the Git 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 and 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 MercedesBenz

    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 MercedesBenz

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.
     

prevNext

Learner's Profile

This AI and machine learning course caters to working professionals across industries. The learner diversity 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

    Chennai

    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

    Mumbai

    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, Bangalore

    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

    Gurgaon

    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.

  • Siddharth Pandey

    Siddharth Pandey

    Embedded UI/UX Expert | Technical Lead | React Expert, Bangalore

    The best part about this course is that everything is covered in 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 is very helpful. The trainers are experienced and knowledgeable.

  • Apoorva N R

    Apoorva N R

    Bangalore

    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.

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 Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Admission Details

APPLICATION PROCESS

Candidates can apply to this Post Graduate Program in AI and Machine Learning in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.

Submit Application

Tell us why you’d want to do this AI & machine learning program

Application Review

An admission panel will shortlist candidates based on their application

Admission

Selected candidates start the AI and machine learning program in 1-2 weeks

ELIGIBLE CANDIDATES

Admission to this Post Graduate Program in AI and Machine Learning require:

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 Post Graduate Program in AI & Machine Learning is $ 5,000. It covers applicable program charges and Purdue Alumni Association membership.

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 Post Graduate Programs using Affirm or ClimbCredit payment option with low APR and no hidden fees.

AffirmClimbCredit

Other Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 5,000

Apply Now

PROGRAM BENEFITS

  • Complete this AI and machine learning course 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: 5 Dec-5 Dec

    Time : 08:00 - 10:00 CST

    Class Type:Weekend (Sat - Sun)

PG AI - Data Science with Python
  • Date: 9 Jan-13 Feb

    Time : 08:00 - 12:00 CST

    Class Type:Weekend (Sat - Sun)

PG AI - Machine Learning
  • Date: 27 Feb-11 Apr

    Time : 08:00 - 12:00 CST

    Class Type:Weekend (Sat - Sun)

PG AI - Deep Learning with Tensorflow and Keras
  • Date: 24 Apr-16 May

    Time : 09:00 - 13:00 CDT

    Class Type:Weekend (Sat - Sun)

PG AI - Advanced Deep Learning and Computer Vision
  • Date: 29 May-27 Jun

    Time : 09:00 - 13:00 CDT

    Class Type:Weekend (Sat - Sun)

PG AI - Natural Language Processing and Speech Recognition
  • Date: 10 Jul-22 Aug

    Time : 09:00 - 13:00 CDT

    Class Type:Weekend (Sat - Sun)

PG AI - Reinforcement Learning
  • Date: 4 Sep-3 Oct

    Time : 09:00 - 13:00 CDT

    Class Type:Weekend (Sat - Sun)

PG AI - AI and Machine Learning Capstone Project
  • Date: 17 Oct-7 Nov

    Time : 09:00 - 11:00 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 is 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 Boston?

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

    • A bachelor's degree with an average of 50% or higher marks
    • Basic understanding of programming concepts and mathematics
    • 2+ years of experience (preferred)

  • What is the admission process for this Post Graduate Program in AI and Machine Learning in Boston?

    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

  • Is there any financial aid provided?

    To ensure money is not a barrier in the path of learning, we offer various financing options to help you find this Post Graduate Program in AI and Machine Learning in Boston more affordable. Please refer to our “Admissions Fee and Financing” section for more details.

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

    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(for IBM courses) 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 in Boston, 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 AI and ML courses, which consist of eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned course before attending the first class.

  • 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 and how are they selected?

    All of our highly qualified AI and machine learning 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 AI and ML courses. 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 telephone. 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?

    Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.

  • * Disclaimer

    This Post Graduate Program in AI and Machine Learning is offered on a non-credit basis and is not transferable to a degree.

  • What is Artificial Intelligence or AI?

    AI is often used to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as learning and problem-solving. AI has spread its wings across sectors and industries, including, healthcare, finance, education, retail, eCommerce, and more, making it a lucrative field. And in order to grab the best opportunities in the field, a world-renowned certification (especially from a prestigious university) acts as a career catalyst.

  • What technologies are used for developing AI Skills?

    Machine learning techniques, understanding NLP, expertise of deep learning algorithms are some of the key technologies you must master in order to develop AI skills. Simplilearn’s AI and ML course includes all of these and more, and will help you become an AI and ML expert in 12 months!

  • Is there any minimum education qualification required to apply for this AI and Machine Learning course?

    Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enrol in this AI and Machine Learning courses.

  • Will I become an alumni of Purdue University after completion of the AI and Machine Learning course?

    You will get a Purdue Alumni Association Membership.

  • Will I be able to access the content after completion of the AI and Machine Learning course?

    Yes, you can access the course content even after the completion of the AI and ML courses.

  • I am not from a technical background. Can I still join this AI and Machine Learning course?

    Yes, you can join the AI and Machine Learning courses even if you do not belong to a technical background. However, having a basic knowledge of programming languages and mathematics will be beneficial.

  • Can I enroll in an AI and Machine Learning course if I don't have any prior knowledge in both AI and ML?

    Yes, you can enroll in the AI and ML courses even if you don’t have any prior knowledge in AI and machine learning since this course will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical AI and machine learning skills.

  • What will you learn with Simplilearn's AI and Machine Learning course?

    Simplilearn’s AI and Machine learning course will help you learn a dozen of top skills and tools including, python, keras, tensorflow, django, and so much more. Not just that, you also get access to capstone in 3 domains and over 25 hands-on industry projects to implement and practice the skills you have learned during the program.

  • Why choose Simplilearn for your AI and Machine Learning course?

    Simplilearn and Purdue University have collaborated to bring to you an extraordinary learning experience. where a high-engagement classroom learning environment meets the ease and convenience of a digital platform. In this AI and machine Learning course you will learn 30+ tools and skills, get masterclasses from Purdue faculty, perform capstone and other industry projects. And all of this happens in a cohort format where you learn alongside equally-driven professionals faster and better.

  • Who can take the AI and Machine Learning course?

    Anyone who has a keen interest and a passion for new-age tech skills can enroll for this AI and machine learning course. However, you are expected to have a bachelor's degree with a minimum of 50% marks. On the other hand, it is also beneficial if you have a basic understanding of programming languages and mathematics.

  • How will my doubts/questions be addressed in an online AI and ML course?

    We have a team of dedicated admissions counselors who can guide you as you apply for this AI and ML courses.

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