85+ CountriesInternational
Learners
-- Months*Duration Recommended 15 hrs/day
WESRecognised
77%Learners Achieve Career Benefits
- Bachelor’s degree + 50%
- Successful completion of the Executive PG Program in Machine Learning & AI from IIITB mandatory. Min. 1 year work exp. in tech domains preferred.
Eligibility
India's #1 Technical University (Private)Source - India Today, 2021
Get Positive Career Growth5 out of 6 Learners
Batch StartDateComing Soon

    Programme Overview

    Key Highlights

    Designed for Working Professionals
    Designed for Working Professionals
    6 Practical Hands-on Capstone Projects
    6 Practical Hands-on Capstone Projects
    15+ Case Studies and Assignments
    15+ Case Studies and Assignments
    Executive PG Programme from IIIT Bangalore & Alumni Status
    Executive PG Programme from IIIT Bangalore & Alumni Status
    Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
    Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
    Live Coding Classes & Profile Building Workshops
    Live Coding Classes & Profile Building Workshops
    Student Support is available 7 days a week, 24*7
    Student Support is available 7 days a week, 24*7
    No Cost EMI Options Available
    No Cost EMI Options Available
    Career mentorship Sessions(1:1)
    Career mentorship Sessions(1:1)
    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
    Career Bootcamp
    Career Bootcamp
    750+ Hours of Learning
    750+ Hours of Learning

    upGrad has been instrumental in helping us in finding candidates with key skill sets in Data Science and Analytics
    - Val S, Director at Animaker

    animaker
    Minimum Eligibility
    Bachelor’s Degree with 50% or equivalent passing marks. Miniview more
    Who Is This Programme For?
    Ideal for Engineers, Software & IT Professionals, Data Profeview more
    Industry Relevant Learning
    Machine Learning, Deep Learning, Computer Vision, Natural Laview more
    Job Opportunities
    Data Engineer, Data Scientist, Machine Learning Engineer, MLview more

    Syllabus

    Experience 750+ hrs of best-in-class content by leading faculty & industry experts. 

    Download Syllabus

    20 Languages, Tools & Libraries

    Master's Degree from LJMU
    Complete all the courses successfully to obtain this prestigious recognition from LJMU.
    Master's Degree from LJMU
    Click to zoom
    • Connect with Global network of Faculty from LJMU
    • Get access to complete digital library of LJMU
    • Earn a Master's degree same as on-campus degree at 1/10th the cost

    77% Learners Achieve Career Benefits

    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

    Placement Support

    Your career need to grow with you!

    Personalised Industry Session

    Sessions by an industry expert for a small group of 10-12 learners with similar profiles to discuss real life applications of concepts and personalised coaching

    High Performance Coaching (1:1)

    Get a dedicated career coach to help you stay on track to achieve your career goals, coach you on your profile, and support you in your career journey.

    Jobs on Career Centre

    Career Centre offering upGrad jobs across experience levels and CTC ranges.

    Interview Preparation

    Support in polishing your hard skills and soft skills for interview preparation

    Career Mentorship Sessions (1:1)

    Get personalised career landscaping from experts to chart out best opportunities

    Profile Builder (AI Powered)

    An easy to use Resume, LinkedIn and Cover letter preparation tool.

    Syllabus

    Download Brochure
    750+
    Hours of Learning
    15+
    Case Studies and Assignments
    90
    Live Sessions
    11
    Coding Assignments

    Pre-Program Preparatory Content

    3 Weeks
    • Introduction to Python
    • Python for Data Science
    • Data Visualisation in Python
    • Data Analysis Using SQL (Optional)
    • Advanced SQL & Best Practices (Optional)
    • Data Analysis in Excel (Optional)
    • Analytics Problem Solving (Optional)
    • Math for Machine Learning

    Statistics and Exploratory Data Analytics

    5 Weeks
    • Exploratory Data Analysis
    • Cloud Essentials: Intro to Git & Cloud
    • 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
    • Intro to Neural Networks
    • Convolutional Neural Networks - Industry Applications
    • Convolutional Neural Networks - Assignment
    • Recurrent Neural Networks
    • Neural Networks 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

    Research Methodologies

    8 Weeks
    0 Assignment
    • Introduction to Research and Research Process
    • Research Design
    • Literature Reviewing
    • Research Project Management
    • Report Writing and Presentation Skills
    • Scientific Ethics

    Master's Dissertation

    16 Weeks
    0 Assignment
    • Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and clustering methods
    • Investigate a diagnosis of eye diseases using imaging ophthalmic data
    • Structure medical images with information geometry
    • Using Social media feed to place tweets regarding natural disasters on a map
    • Preventing credit card fraud through pattern recognition
    • Developing a recommender system for a Media giant
    • Risk modelling for Financial activities and Investment Banking

    Industry Projects

    Learn through real-life industry projects sponsored by top companies across industries
    • Engage in collaborative projects with student-mentor interaction
    • Benefit by learning in-person with Expert Mentors
    • Personalised subjective feedback on your submissions to facilitate improvement

    Instructors

    Learn from leading ML & AI faculty and industry leaders

    Benefites with upGrad

    benefits

    Learning Support

    Learning Support
    • Industry Expert Guidance
    • Student Support: Student Support is available 7 days a week, 24*7 You can write to us via studentsupport@upgrad.com or for urgent queries, use the "Talk to Us" option on the Learn platform.
    benefits

    Career Assistance

    Career Assistance
    • Career Mentorship Sessions (1:1)
    • High Performance Coaching (1:1)
    • AI Powered Profile Builder
    • Interview Preparation
    benefits

    Practical Learning and Networking

    Practical Learning and Networking
    • Networking & Learning Experience
    benefits

    Job Opportunities

    Job Opportunities
    • upGrad Elevate: Virtual hiring drive giving you the opportunity to interview with upGrad's 300+ hiring partners
    • Job Opportunities Portal: Gain exclusive access to upGrad's Job Opportunities portal which has 100+ openings from upGrad's hiring partners at any given time
    • Be the first to know vacancies to gain an edge in the application process
    • Connect with companies that are the best match for you

    Note

    *Programme length implies 18 months of learning and full programme duration may vary depending on university.

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