Executive PG Program in Machine Learning and AI from IIIT-Bangalore

Gain IIITB Alumni status and connect with a global network of accomplished alumni

  • Learn in-demand Gen AI skills and tools such as ChatGPT, Dall-E, Midjourney
  • Build a strong global network for life with opportunities to connect to ML industry experts
  • WES recognized degree equivalent to a 1 year PG Diploma from Canada
Enterprise Training for Teams: Get a Quote
  • 450,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Achieve Mastery in ML and AI

Learn in-demand skills such as ChatGPT, Dall-E, Midjourney, Graph Neural Network (GNN), Generative Adversarial Networks (GANs), Machine Learning, Deep Learning, Natural Language Processing (NLP), MLOps, Computer Vision, Transformers, BERT, and more. The program covers over 20 programming tools, languages and libraries.

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  • 45+ Live Learning Sessions

  • 600+ Hours of Learning

  • 6 Practical Capstone Projects

  • 15+ Case Studies and Assignments

  • 1:1 Career Mentorship Sessions

  • Personalized Industry Session

  • IIIT Bangalore Alumni Status

  • Exclusive Job Opportunities Portal

  • Daily Doubt Resolution Support

  • Career Bootcamp and Hackathons

Ready to get started?

Contact Learning Advisor

The upGrad Advantage

Industry Mentors

Receive unparalleled guidance from Industry mentors, teaching assistants and graders.

Student Support

Dedicated Student Support Available

Expert Feedback

Personalized feedback on assignments and projects, regular live sessions by experts to clarify doubts.

Doubt Resolution

Timely doubt resolution by Industry experts, 100% verified responses to ensure quality learning.

Career Services

Get mentored by an industry expert and receive personalized feedback for your career journey

Job Opportunities

Gain exclusive access to upGrad's Job Opportunities portal and gain an edge in the application proces

prerequisites for Executive PG Program in Machine Learning and AI from IIIT-Bangalore


  • Bachelor’s Degree with minimum 50% marks
  • At least one year of Technical work experience required
  • A degree in mathematics or Statistics with programming experience

Who Should Attend?


Software Professionals

IT Professionals

Data Professionals



  • 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


  • Exploratory Data Analysis
  • Cloud Essentials: Intro to Git and GitHub
  • Inferential Statistics
  • Hypothesis Testing
  • Lending Club Case Study


  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection


  • 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


  • Introduction to Neural Networks
  • Convolutional Neural Networks - Industry Applications
  • Convolutional Neural Networks - Assignment
  • Recurrent Neural Networks
  • Neural Network Project - Gesture Recognition


  • Lexical Processing
  • Syntactical Processing
  • Syntactic Processing - Assignment
  • Semantic Processing

Case Study: Classifying Customer Complaint Tickets


  • Cloud Essentials: Intro to AWS 
  • Working with AWS: Case Study
  • MLOps: Introduction

MLOps: Data Lifecycle

MLOps: Model Lifecycle

  • MLOps Assignmnet

Advanced CV

MLOps + Deployment: DL (Theory)

MLOps + Deployment: DL (Assignnment)


  • Cloud Essentials: Intro to AWS 
  • Working with AWS: Case Study
  • MLOps: Introduction

MLOps: Data Lifecycle

MLOps: Model Lifecycle

  • MLOps Assignmnet

Advanced NLP

MLOps + Deployment: NLP (Theory)

MLOps + Deployment: NLP (Assignnment)


  • ·       Cloud Essentials: Intro to AWS 
  • ·       Working with AWS: Case Study
  • ·       MLOps: Introduction

MLOps: Data Lifecycle

MLOps: Model Lifecycle

  • ·       MLOps Assignnment

. AI Stratergy Framework, Structured problem solving/Data Storytelling

. Mapping ML with Data Architecture Strategy

. Executive AI Strategy

. AI Strategy: Assignment

  • 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
  • Classical Reinforcement Learning
  • Assignment: Classical Reinforcement Learning
  • Deep Reinforcement Learning
  • Reinforcement Learning Project

Frequently Asked Questions

Course FAQs

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.

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.

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

Eligibility FAQs

The Executive PG programme in Machine Learning & AI is ideally suited for individuals who have a strong interest and want to deep dive into data analysis, machine learning, and Generative AI, and aspire to pursue a rewarding career in these fields. This program is suitable for graduates seeking to enhance their knowledge and skills in data science, as well as professionals looking to transition into the rapidly growing in these fields.

Yes. Bachelor’s Degree with minimum 50% marks with 1 yr technical expeirence required.

The admissions process is completely online. The following are the key steps in the application process:

Step 1 - Fill Application form

Step 2 - Give 40mn aptitude test and get shortlisted

Step 3 - Once shortlisted, upon receiving the Offer letter, block your seat by 25,000

Course Curriculum

Post successful completion of this program, you will get a Executive Post Graduate certificate in Machine Learning & AI

You will need to spend 12-15+ hrs/week to get optimum results and learn.

Overall, this program will have video content broken down into small easy-to-complete segments that you can watch on the go-across devices. The remaining hours of engagement will be a mix of industry projects, live instructor sessions, mentoring sessions and online and offline meetups.

The curriculum is developed by the best Faculty Members from IIITB with special inputs from industry experts, which makes it extremely relevant to working professionals.

Along with it, our Support Services, Career Assistance, and Live Sessions make it a classroom experience, which no one else in the market can offer.

Our programs have a strong experiential component that will prepare you to apply your learning on the job. Learn - Experience - Apply. Case Studies and industry projects will help you to experience real-life challenges in Management. These will enable you to step into the shoes of leading managers at companies and put to use the theoretical learning in an experiential manner. Post this programme, these will serve as a portfolio of projects you can illustrate to advance your career.

Dedicated Student Support available. You can write to us via studentsupport@upgrad.com Or for urgent queries, use the "Talk to Us" option on the Learn platform. Additionally, an upGrad buddy will enhance the learners’ experience by engaging with them to ensure they are on track with upcoming deadlines, submissions, offer guidance, and resolve their non-academic queries. Extensive academic support through the Discussion Forum, weekly TA-Sessions. Just like in a university, your batchmates will help you with any academic queries. This will happen via the Discussion Forum. Other than your peers, you also have TAs (Teaching Associates) for any academic query. Your academic queries will be solved by the Faculty and TAs in 36-48 hours

Payment Details

You need to pay ₹ 25,000 to block your seat.

Refund Policy: (Programmes with prep-session component)

  • You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counselor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. The prep login will be activated immediately post completion of the 'payment of the 1st block amount (caution money)' or on the 'Specified date' as communicated by upGrad. Processing fee of ₹10,000 will be levied in case refund is claimed.
  • Student has to pay the full fee within 7 days of payment of block amount or cohort start date, whichever is earlier, otherwise the admission letter will be rescinded and processing fee of ₹10,000 will be levied.
  • Once the student pays block amount, "any" refund shall be subject to deduction of ₹10,000 processing charges.
  • Any taxes paid by the student shall not be refundable, and the amount to be withheld will be higher of taxes paid or 10,000 processing fees.
  • There shall be no refund applicable once the programme has started. This is applicable even for those students who could not complete their payment and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
  • Refund shall be processed to an eligible student within 30 working days from the date of receipt of refund form from him/her in this regard.
  • Refund shall be subject to deduction of ₹10,000 processing charges or the GST paid, whichever is higher as mentioned above.

1st Deferral (pre or post programme commencement) is free for all enrolled students with the following conditions:

  • The Executive Post Graduate Program learners should complete the course in a maximum duration of 3 years from the initial batch start date.
  • The Advanced Certificate Program learners should complete the course in a maximum duration of 2 years from the initial batch start date.
  • 2nd deferral will be charged as explained below.

2nd Deferral Policy: (Post Programme Commencement)

  • If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student to defer to another batch.
  • A student can request for deferral only once and from the batch start date of initial batch the student enrolled for.
  • The student will be required to pay a deferral fees of 10% of the total course amount fee + Taxes if any along with the differential programme fees between the two cohorts.
  • The deferral request will be approved once the deferral fee is paid.
  • Till this is completed, the student will be assumed to be continuing in the same cohort.
  • The student has 7 days (including holidays and weekends) from the date of deferral request to make the payment of the deferral fee post which the deferral request will expire, and the student will continue as part of the current cohort.
  • If the student completes the deferral payment, the student's login will be disabled, the student will leave the deferred cohort and the student will start learning on the new cohort from the point of the last assignment that was graded in the deferred cohort. All grades and progress until that point will be carried forward as it is to the new cohort. For clarification, the grades of the graded assignments will be carried forward, whether or not the student had submitted these grading during the initial stage.
  • The deferral can only be requested during the batch for which the student has enrolled is ongoing. Once the batch has completed, deferral requests shall not be entertained. For clarification, the batch completion here shall mean the "last grace deadline" as communicated by upGrad.

2nd Deferral Policy: (Pre Programme Commencement)

  • If a student, due to unavoidable circumstances, is unable to commence with the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the student to defer to another cohort.
  • To do so, the student will be required to pay 50% of the total Programme fee amount (inclusive of taxes) before the deferral can be approved. Till this is completed, the student will be assumed to be continuing in the same cohort.
  •  A student can request for deferral to any of the cohorts starting in the next 3 months from the start date of the initial batch in which the student was originally enrolled. For the first deferral request, subject to the point no. 2 of the Pre-Programme Deferral Policy, no additional charges shall be levied.
  • If a student wants to defer his enrolment a second time, such student will have to make an additional payment of Rs.10,000 as Deferral fee, and this amount shall be non-refundable under any circumstances. Once this payment is done, students will be eligible to defer to any of the cohorts starting in the next 3 months from the current cohort.
  • The student has time till the current cohort launch date to make the payment of the balance 50% Programme fee, post which the deferral request will expire. Once the deferral window expires and if such a student wants to withdraw his or her enrolment from the said Programme, the refund policy will be applicable.
  •  The student shall be liable to pay the differential Programme fees between the two cohorts if any.