FormatOnline
Learner base85+ Countries
Recommended 15 hrs/week13 Months
Start DateComing Soon

    Program Overview

    Key Highlights

    Designed for Working Professionals
    Designed for Working Professionals
    600+ Hours of Learning
    600+ Hours of Learning
    15+ Case Studies and Assignments
    15+ Case Studies and Assignments
    6 Practical Hands-on Capstone Projects
    6 Practical Hands-on Capstone Projects
    Live Coding Classes & Profile Building Workshops
    Live Coding Classes & Profile Building Workshops
    Executive Post Graduate Program from IIIT Bangalore & Alumni Status
    Executive Post Graduate Program from IIIT Bangalore & Alumni Status
    Career Bootcamp
    Career Bootcamp
    3 Electives to customise your learning path
    3 Electives to customise your learning path
    Creation of portfolio website on Github to boost the learners’ career persona
    Creation of portfolio website on Github to boost the learners’ career persona
    Scaling & Productionising ML
    Scaling & Productionising ML
    Hackathon
    Hackathon
    Daily Doubt Resolution Sessions
    Daily Doubt Resolution Sessions
    Exclusive Job opportunities Portal
    Exclusive Job opportunities Portal
    High Performance Coaching(1:1)
    High Performance Coaching(1:1)
    AI Powered Profile Builder
    AI Powered Profile Builder
    Just-in-Time Interviews
    Just-in-Time Interviews
    Personalised Industry Session
    Personalised Industry Session
    Student Support is available 7 days a week, 24*7 for non-academic queries. You can write to us via studentsupport@upgrad.com  Or for urgent queries, use the "Talk to Us"  option on the Learn platform.
    Student Support is available 7 days a week, 24*7 for non-academic queries. You can write to us via studentsupport@upgrad.com Or for urgent queries, use the "Talk to Us" option on the Learn platform.

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

    Top Subjects You Will Learn
    Machine Learning, Deep Learning, Computer Vision, Natural Laview more
    Who Is This Program For?
    Engineers, Software and IT Professionals, Data Professionals
    Job Opportunity
    Data Engineer, Data Scientist, Machine Learning Engineer, MLview more
    Minimum Eligibility
    Bachelor’s Degree with 50% or equivalent passing marks. Miniview more

    Syllabus

    Experience 600+ 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 one of 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 Learning
    15+
    Case Studies and Assignments
    35+
    Live Sessions
    6
    Practical Hands-on Capstone Projects

    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
    • 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
    • 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

    4 Weeks
    • 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

    Industry Projects

    Learn through real-life industry projects sponsored by top companies across industries

    Benefits with upGrad

    benefits

    Learning Support

    Learning Support
    Student Support
    • Student Support available all day for your convenience (24*7)
    • For urgent queries, use the Call Back option on the platform
    benefits

    Practical Learning and Networking

    Practical Learning and Networking
    Networking & Learning Experience
    • Live Discussion forum for peer to peer doubt resolution monitored by technical experts
    • Peer to peer networking opportunities with a alumni pool of 10000+
    • Lab walkthroughs of industry-driven projects
    • Weekly real-time doubt clearing sessions
    benefits

    Career Assistance

    Career Assistance
    High Performance Coaching (1:1)
    • Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey
    AI Powered Profile Builder
    • Obtain specific, AI powered inputs on your resume and Linkedin structure along with content on real time basis
    Interview Preparation
    • Get access to Industry Experts and discuss any queries before your interview
    • Career bootcamps to refresh your technical concepts and improve your soft skills

    Our Learners Work At

    Top companies from all around the world have recruited upGrad alumni

    Student Reviews

    Admission Process

    Program Fees

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    *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?

    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, 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 in creating and deploying software/apps, 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 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 program?

    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 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?

    Selection Criteria

    What is the selection process for this program?

    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.



    Disclaimer

    1. 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. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.

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    *All telephone calls will be recorded for training and quality purposes.

    *If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.