Executive PG Programme in Machine Learning & AI

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Executive PG Programme in Machine Learning & AI


Learn From Indias No.1 Technical University (Private)

Source - India Today, 2021

  • 50%Average Salary Hike

  • 1.23CrHighest Salary

  • 500+Career Transitions

  • 300+Hiring partners

  • October 31, 2024Start Date

  • 13 MonthsDuration

Program Overview

The best selling program with a 4.5-star rating. Learn in-demand skills such as Deep Learning, NLP, MLOps, AI strategy building, work on 15+ industry projects & multiple programming tools.

Learn From Indias No.1 Technical University (Private)

Source - India Today, 2021

  • 50%Average Salary Hike

  • 1.23CrHighest Salary

  • 500+Career Transitions

  • 300+Hiring partners

Program Overview

The best selling program with a 4.5-star rating. Learn in-demand skills such as Deep Learning, NLP, MLOps, AI strategy building, work on 15+ industry projects & multiple programming tools.

5 out of 6 Learners Get Positive Career Growth
Results reviewed by Deloitte.


ELIGIBILITY
Minimum 1 Year Work Exp + Bachelor's Degree with Minimum 50%

Program Benefits

  • Opportunity to work on 15 case studies and assignments
  • Quarterly Hackathon to network and live coding classes on Kaggle and OpenCV
  • 360-degree career assistance from mock interviews with hiring managers, resume building and LinkedIn profile review via AI-powered inputs
  • Boost learner's career persona by creating a portfolio website on Github
  • Choose from 6 capstone projects to work-on
  • Tests conducted by domain experts to evaluate industry-readiness
  • Learn from 20 Programming Languages and Tools: pandas, matplotlib, NumPy, NLTK, Seaborn, scikit learn, statsmodels, OpenCV, Kubernetes, REST-API, docker, Flask, aws, HEROKU, Excel, TensorFlow, Keras, MySQL, python, spaCy
  • Customise your learning path from 3 electives

Programming Languages and Tools Covered
Get Hand-on Experience and deep dive into the latest tools and programming languages

Programming Tools
Programming Tools
Programming Tools
Programming Tools
Programming Tools

Get Certified!

Get certified for the Executive PG Programme in Machine Learning & AI & turbocharge your career growth

  • Gain IIITB Alumni status & connect with a global network of accomplished IIITB alumni
  • Build a strong network for life with opportunities to connect to Machine Learning Industry experts & your experienced fellow learners

Our Learners Work At
Top companies from all around the world have recruited IIITB alumni

Placement Companies
Placement Companies
Placement Companies
Placement Companies
Placement Companies

Industry Projects
Learn through real-life industry projects that simulate actual projects in top companies across industries.

Telecom Churn Analysis

Solve the most crucial business problem for a leading telecom operator in India and southeast Asia - predicting customer churn.

Train an agent to play Tic Tac Toe

Learners will apply Q-Learning to train an RL agent to play the game of numerical Tic Tac Toe.

Classification of customer complaints

Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank

Classification of customer complaints

Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank

Syllabus

  1. 600+Hours of Learning
  2. 15+Case Studies and Assignments
  3. 35+Live Sessions
  4. 6Capstone Projects To Choose From
  • Pre-Program Preparatory Content (3 Weeks)

    Introduction to Python

    Python for Data Science

    Data Visualisation in Python

    Data Analysis Using SQL (Optional)

    Advanced SQL and Best Practices (Optional)

    Data Analysis in Excel

    Analytics Problem Solving

    Math for Machine Learning

  • Statistics and Exploratory Data Analytics (5 Weeks)

    Exploratory Data Analysis

    Cloud Essentials: Intro to Git & Github

    Inferential Statistics

    Hypothesis Testing

    Lending Club Case Study

  • Machine Learning - I (7 Weeks)

    Linear Regression

    Linear Regression Assignment

    Logistic Regression

    Naive Bayes

    Model Selection

  • Machine Learning - II (7 Weeks)

    Advanced Regression

    Advanced Regression Assignment

    Support Vector Machine (Optional)

    Tree Models

    Model Selection - Practical Considerations

    Boosting

    Unsupervised learning: Clustering

    Unsupervised Learning: Principal Component Analysis

    Telecom Churn Case Study

  • Deep Learning (8 Weeks)

    Introduction to Neural Networks

    Convolutional Neural Networks - Industry Applications

    Convolutional Neural Networks - Assignment

    Recurrent Neural Networks

    Neural Network Project - Gesture Recognition

  • Natural Language Processing (7 Weeks)

    Lexical Processing

    Syntactical Processing

    Syntactic Processing - Assignment

    Semantic Processing

    Case Study: Classifying Customer Complaint Tickets

  • Elective 1: DL with MLops (10 Weeks)

    Cloud Essentials: Intro to AWS

    Working with AWS: case study

    MLOps: Introduction

    MLOps: Data Lifecycle

    MLOps: Model Lifecycle

    MLops Assignment

    Advanced CV

    Advanced CV

    MLOps + Deployment: DL (Theory)

    MLOps + Deployment: DL (Assignment)

  • Elective 2: NPL with MLops (10 Weeks)

    Cloud Essentials: Intro to AWS

    Working with AWS: case study

    MLOps: Introduction

    MLOps: Data Lifecycle

    MLOps: Model Lifecycle

    MLops Assignment

    Advanced NPL

    Advanced NPL

    MLOps + Deployment: NPL (Theory)

    MLOps + Deployment: NPL (Assignment)

  • Elective 3: AI strategy (10 Weeks)

    Cloud Essentials: Intro to AWS

    Working with AWS: case study

    MLOps: Introduction

    MLOps: Data Lifecycle

    MLOps: Model Lifecycle

    MLops Assignment

    AI Strategy Framework, Structured Problem Solving/ Data Storytelling

    Mapping ML with Data architecture strategy

    Executing AI Strategy

    AI strategy: Assignment

  • Capstone

    Capstone

    News Recommender System

    Credit Card Fraud Detection

    Eye for Blind - (Image Captioning)

    Sentiment analysis based Product Recommender system

    Sales forecasting

    Style Transfer using GAN's

  • Reinforcement Learning (Optional)

    Classical Reinforcement Learning

    Assignment -Classical Reinforcement Learning

    Deep Reinforcement Learning

    Reinforcement Learning Project

  1. 600+Hours of Learning
  2. 15+Case Studies and Assignments
  3. 35+Live Sessions
  4. 6Capstone Projects To Choose From

Application Process

  • Fill the application
  • Get shortlisted basis eligibilty criteria
  • Undergo a qualification test if required
  • Pay the fees
    and enrol

WHAT OUR LEARNERS SAY

Shashank Sane

"Overall it is a very well rounded program (and only one of the few) and while the topics are being covered in sufficient depth, it would not be useful to compare this with MOOC's or any other specialised programs covering only one of the topics. The primary importance of this program lies in the structured approach and well-rounded coverage (with the industry insights that it offers)."

Chandan Kumar Salla

"For someone who really wants to pursue a career in the field of Data Science, it is worth opting for the complete course by IIITB and upGrad. IIITB and upGrad’s online program on Data Science gives many opportunities and develops students for their future as they provide the best professors, thought-provoking assignments and case studies."

Devesh Khare

"Upgrad's career support helped me get my first job in the pandemic, the group projects helped me learn from my peers, even after completing the course, when I wanted to transition to product management , I got multiple mentorship opportunities with a product coach and even a just in time mock interview before my first interview."

Program Fee

₹3,35,000 (Incl. GST)*)

EMI starting at ₹7,430/-

Empowering learners of tomorrow


Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

By clicking on submit, I allow Admission Team to send program details on Email/ SMS/ Phone

  • Rigorous and job ready curriculum developed in collaboration with industry experts
  • Alumni status from IIIT Bangalore
  • 360 Degree Career Support with Mentorship from Industry Experts
  • Networking opportunities with 10,000+ alumni & leading industry experts

Frequently Asked Questions

  • Support

    What type of learning should I expect?

    The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the programme comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.


  • Programme Details

    How do I know if this programme is for me?

    This programme is for you if you are a: Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala. Statistician: If you received formal education in statistics or mathematics or if you have any prior working experience. Data Engineer/Big Data Engineer: If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark. Software Developer: If you have prior experience on creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.


    What is this programme intended to do?

    This programme intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.


    What can I expect out of this programme?

    This programme is designed for working professionals looking to pick up skills in advanced concepts like Reinforcement Learning, Graphical Models, NLP, Deep Learning along with a solid foundation of Statistics. This programme demands consistent work and time commitment over the entire duration of 13 months.


    What should I NOT expect from this programme?

    This programme is NOT intended to serve as an entry point to the field of Data Science. It is aimed at developing professionals who can be absorbed into Senior Data Scientist and Machine Learning/AI roles. Our Executive PG Programme in Machine Learning and AI is aimed at facilitating the transition of professionals to the Machine Learning field.


    Is there any certification at the end of the programme?

    Post completion of the programme, an Executive Post Graduate Programme in Machine Learning and AI will be granted from IIIT Bangalore.


    About WES Recognition

    Please note that the WES approval status of the Executive Post Graduate Program (EPGP-DS/MLAI/SD) shall be known by early 2022. We would like to inform you that this program (under an earlier name) was approved by WES and accorded 1 year diploma equivalency status. While the name of the program has changed to reposition the program in the market, the program curriculum, delivery and learning outcomes remain the same and as such we are cautiously optimistic that the WES approval status shall remain unchanged. We will inform you about WES approval status by early 2022 or alternatively to know the status, you may apply to WES with requisite information and documents on your successful completion of the program. upGrad and IIITB in no way take responsibility in case WES does not recognise the program.


  • Refund Policy/Financials

    What is the programme fee for the Executive Post Graduate Programme in Data Science?

    Please refer to the Program Fees Section to get the course Price


    No Cost Credit Card EMI FAQ's

    0% EMI with Finance partners /Credit card option availability will vary program wise.
    1. Which banks allow using 0% Credit card EMI or Credit card EMI?
    No cost EMI is available on credit cards from all major banks (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, Indus Ind Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank)

    2. Is there any minimum transaction limit ?
    Yes. 50000 is the minimum.

    3. Standard Chartered Bank offers 18 or 24 months No Cost EMI ?
    No. ONLY 12 months is available irrespective of the Program enrolled.

    4. Will I have to pay any extra amount for EMI transaction?
    If you are availing 0% credit card EMI, upGrad will not charge any processing fees or down payment for these transactions. Your bank may levy GST or other taxes on the interest component of the EMI.

    5. Are there any fees or down payment?
    Certain banks charge nominal processing fees between INR 99 - 500 on 0% Credit Card EMI transaction. If charged, will be billed in the first repayment installment.

    6. Can I use my International credit card for 0% credit EMI or Credit Card EMI?
    Only the Indian bank credit cards can be used. But you can pay the amount using the Credit card option in one shot / part payments, and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions, this will be purely between you and your bank.

    7. Are there any charges in case I opt for cancellation/refund from the course after paying balance with no cost EMI ?
    Yes, there will be additional charges to the extent of interest paid by the upGrad to the bank, you will be refunded only Principal amount, i.e. the amount actually deducted/blocked from your card. This deduction will be in addition to the amount mentioned in the refund policy shared with your offer letter.

    8. Can I Pay Using Multiple Credit Cards ?
    Multiple cards can be used to complete the payments using Part payment option make sure to inform the learner, minimum transaction is INR 50000 to opt for 0% CC EMI E.g. Amount to be paid: 150000. I can pay using 2 Credit cards. Yes, Example :
    HDFC Card – Part payment – INR 100000
    ICICI Card – Part payment – INR 50000

    9. How can I opt for Credit card EMI if my bank is not listed in the 0% Credit card EMI or Credit card EMI?
    You can pay the amount using the Credit card option in one shot / part payments, and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions.

    10. Why is the entire amount blocked on my credit card?
    Initially your bank will block the entire amount from your available purchase limit and from your next billing cycle, you will be charged the EMI amount. As you start paying your EMI, your credit limit will be released accordingly. For example, if you have made a payment of ₹100000 on 6-months EMI and your credit limit is ₹200,000 then initially your bank will block your credit limit by ₹100000. After payment of your first month EMI of Rs.15000, the blocked amount will come down to ₹85000.

    11. Why is interest getting charged on No Cost EMI?
    Your bank will charge you interest. However, this interest charge has been provided to you as an upfront discount at the time of your payment, effectively giving you the benefit of a No cost EMI. The total amount paid during the entire EMI tenure to the bank will be equal to the amount to be paid to upGrad.

    Eg. Amount payable to upGrad: INR 405000
    Let's say Amount deducted at the time of transaction: INR 379850 (Principal amount) Bank charges interest of 12-15% per annum on INR 379850
    [Note: Interest factor is reducing rate and not Flat rate]
    EMI AMOUNT = INR 33750 x 12 = INR 405000
    Effectively, you have taken loan on 379,850 instead of 405,000


  • Selection Criteria

    What is the selection process for this programme?

    STEP-1: Online Eligibility Test
    Fill out an application and take a quick 40-minute online test with 18 questions to assess your aptitude.10 questions from mathematics, aptitude & reasoning & 8 questions from programming.

    STEP-2: Review and Shortlisting of Suitable Candidates
    Our faculty will review all applications, considering the educational and professional background of an applicant and review the test scores where applicable. Following this, Offer Letters will be rolled out so you are assured a great peer group to learn and network with.

    STEP-3: Enrollment for Access to Prep Content
    Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey.