Paid Learners 40,000+
FormatOnline
Learner base85+ Countries
Recommended 15 hrs/week-- Months
Start DateComing Soon
+1 (209) 850- 4592Call us Now!

    Program Overview

    Key Highlights

    Career Essential Soft Skills Program
    Career Essential Soft Skills Program
    450+ Hours of Learning
    450+ Hours of Learning
    30+ Case Studies, Coding Assignments  & Capstone Project
    30+ Case Studies, Coding Assignments & Capstone Project
    IIIT Bangalore Alumni Status
    IIIT Bangalore Alumni Status
    Global Industry Experts
    Global Industry Experts
    Timely Doubt Resolution
    Timely Doubt Resolution
    20 In-demand Tools & Languages
    20 In-demand Tools & Languages
    Student Support available all day for your convenience (24*7). For urgent queries, use the Call Back option on the platform
    Student Support available all day for your convenience (24*7). For urgent queries, use the Call Back option on the platform
    Expert Coaching Sessions
    Expert Coaching Sessions

    Eligibility:
    - Bachelor’s Degree with 50% or equivalent passing marks.
    - Minimum 1 year of work experience or a degree in Mathematics or Statistics.

    upgrad

    Syllabus

    Experience 450+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects

    Download Syllabus

    20 Programming Tools, Languages & Libraries Covered

    Executive PG Program from IIIT Bangalore
    Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore. IIIT Bangalore is a deemed university by UGC, AICTE approved & in the Top 70 Engineering Universities as per NIRF Rankings.
    Executive PG Program from IIIT Bangalore
    Click to zoom
    • 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

    Instructors

    Learn from India's leading ML & AI faculty and industry leaders

    Syllabus

    Experience 600+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects

    Download Brochure
    600+
    Hours of Content
    12+
    Case Study and Projects
    40+
    Live Sessions
    11
    Coding Assignments
    20
    Tools, Languages & Libraries
    6
    Capstone Projects to Choose From

    International Preparatory Course

    4 Weeks
    • Excel MasterClass
    • Overview of DS/ML/AI
    • Data Visualisation and StoryTelling
    • Data Science Problem Solving
    • Introduction to Python
    • Python for Data Science
    • Data Visualisation in Python
    • Analytics Problem Solving (Optional)
    • Data Analysis Using SQL (Optional)
    • Advanced SQL (Optional)
    • Programming using Python - I(Optional)
    • Programming using Python - II (Optional)
    • Data Analysis in Excel (Optional)
    • Math for Machine Learning (Optional)

    Statistics and Exploratory Data Analytics

    5 Weeks
    • Exploratory Data Analysis
    • Cloud Essentials: Intro to Git & Cloud
    • Cloud Essentials: Intro AWS
    • Investment Assignment
    • 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: NLP 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 NLP
    • Advanced NLP
    • MLOps + Deployment: NLP (Theory)
    • MLOps + Deployment: NLP (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

    Reinforcement Learning (Optional)

    • Classical Reinforcement Learning
    • Assignment -Classical Reinforcement Learning
    • Deep Reinforcement Learning
    • Reinforcement Learning Project

    Industry Projects

    Learn through real-life industry projects sponsored by top companies across industries
    • Collaborative projects with peers
    • In-person learning with expert mentors
    • Personalized feedback to facilitate improvement

    The upGrad Advantage

    Dedicated Career Support services, Personalized Mentorship from Global Industry Experts, Hands-on Projects, Peer-peer International networking opportunities & a whole lot more to help you master Machine Learning & AI.
    benefits

    Learning Support

    Learning Support
    Industry Mentors
    • - Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Fortnightly personalised group (1:8) mentorship sessions with global industry experts for pro-active mentoring
    • Calls with industry-experienced experts for personalised feedback & guidance spread over 3 month
    Student Support
    • Student Support available all day for your convenience (24*7)
    • For urgent queries, use the Call Back option on the platform
    benefits

    Doubt Resolution

    Doubt Resolution
    Q&A Forum
    • Timely doubt resolution by Industry experts and peers
    • 100% Expert-verified responses to ensure quality learning
    Expert Feedback
    • Personalized expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept related doubts
    benefits

    Networking

    Networking
    Industry Networking
    • Live sessions by experts on various industry topics
    • One-on-one discussion and feedback sessions with industry mentors
    • Worldwide peer to peer networking opportunities with an alumni pool of 10000+

    Our Learners Work At

    Top companies from all around the world have recruited upGrad alumni

    Student Reviews

    Admission Process

    Step 1: Take the online eligibility test

    Step 1: Take the online eligibility test

    Complete your application and take a quick 40-minute online eligibility test on the website with 18 questions to start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring your ready for the program.

    Step 2: Get shortlisted & receive your offer letter

    Step 2: Get shortlisted & receive your offer letter

    Our Admissions Committee will review your test score & profile. Upon qualifying, an offer letter will be sent to you confirming your admission in the Executive PG Program in Machine Learning & Artificial Intelligence.

    Step 3: Confirm your seat & begin with your prep - course

    Step 3: Confirm your seat & begin with your prep - course

    Reserve your seat by paying the enrolment amount to enrol in the program. Begin with your preparatory course & start your start your career in Machine Learning.

    Program Fees

    ₹ NaN

    *This price applies for payment in installments. An exclusive upGrad scholarship applicable for upfront payments.
    Start Referring

    Refer someone you know and receive cash reimbursements of up to $500!*

    *More details under the referral policy under Support Section

    Empowering learners of tomorrow

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

    Continue with email

    Start Application

    Start Application

    Frequently Asked Questions

    Program Details

    How do I know if this program is for me?

    This program 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, and have spent at least 2 years as a working professional. You should also have some experience with R/Python/Scala.
    Statistician: If you received formal education in statistics or mathematics and have at least 2 years of working experience.
    Data Engineer/Big Data Engineer: If you have at least 2 years of 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 worked on creating and deploying software/apps for at least 4 years, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.

    How will this program benefit me?

    The program will benefit you in different ways depending on your prior experiences:
    Data Scientist or Senior Data Analyst: The program will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role.
    Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the program will help you understand how to define a structured approach to solve a business problem, and equip you with the right tools so that you can transition to a Machine Learning or Data Science role.
    Data Engineer/Big Data Engineer: The program will set up a solid foundation of Statistics, Machine Learning, and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional.
    Software Developer: The program will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional.

    What is this program intended to do?

    This program 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 program?

    This program 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 program demands consistent work and time commitment over the entire duration of 12 months.

    What should I NOT expect from this program?

    This program 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 Program in Machine Learning & Artificial Intelligence is aimed at facilitating the transition of professionals to the Data Science field.

    Is there any certification at the end of the program?

    Post completion of the program, a Executive PG Program in Machine Learning & Artificial Intelligence will be granted from IIIT Bangalore.

    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 program comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.

    Refund Policy

    Is there any deferral or refund policy for this program?

    Refund Policy: (Programs with/without prep-session component)

    • The student must pay applicable caution money for the enrollment of the course. This will be adjustable against the total course fee payable by the student.
    • 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 Counsellor  to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program 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 subject to submission of the right documents from him/her in this regard.
    • Refund shall be subject to deduction of USD 150 processing charges and as per the conversion rate applicable.

    Deferral Policy: (Post Program 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. This deferral will be subjected to a 10% deferral fee of the total course amount + taxes if any along with the differential program fees between the two cohorts.
    • This deferral request shall be granted only once and to either of the scheduled cohorts to start in the next 1 year from the start date of the initial batch in which the student was originally enrolled for.
    • The deferral request will be approved once the deferral fee is paid. Until the process 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 shall be deemed as expired, and the student shall 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 till 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.

    Deferral Policy: (Pre Program 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 batch. 
    • However, the student will be required to pay 50% of the total course 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 only once and to either of the scheduled cohorts to start in the next 1 year from the start date of the initial batch in which the student was originally enrolled for.
    • The student shall have time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. In the event the student raises a refund request after the deferral window expires, the above-mentioned applicable refund policy shall apply. 
    • The fee applicable to the deferred student will be as per prevailing fee for the batch student has opted to defer to (No additional deferral fee is required to be paid).The student shall be liable to pay the differential program fees between the two cohorts, if any.

    Selection Criteria

    What is the selection process for this program?

    upGrad, IIITB, world-class faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the candidates can receive the best possible learning experience. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Machine Learning and AI.


    The applicants will have to take a 40 minute selection test designed to check their mathematical and programming abilities. The applicants may be exempt from taking the test if they meet the following criteria:


    Minimum 1 year of work experience or a degree in Mathematics or Statistics with a particular grade.

    Disclaimer

    upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. We advise you to enquire further regarding the suitability of this program for your academic and professional requirements before enrolling.