Learn to deploy Machine Learning models using Cloud computing with a M.Sc. Degree from Liverpool John Moores University, and an Advanced certification from IIT Madras at INR 13,628 per month.

5 out of 6 learners get positive career growth
upGrad Results reviewed by Deloitte

In association with

Industry Experts from

Online

Format

18 Months*

Duration Recommended 12-15 hrs/week

12,600+

Students Empowered

Ranked #1 in India.

IIT Madras ranking - NIRF 2021

Coming Soon

Batch Start Date

Get Positive Career Growth

5 out of 6 Learners

- Bachelor’s degree with 50% mandatory
- Coding experience required

Eligibility

Programme Overview

Key Highlights

Learn from the faculty of IIT Madras & LJMU

Designed for Working Professionals

25+ Case Studies and Assignments

Practical Hands-on Workshops

650+ Hours of Learning

India's No.1 Ranked Engineering College

No Cost EMI Option

India's Most Advanced Cloud Program

4 Weeks Industry Capstone Project

Globally accepted M.Sc. Degree

Offline peer-to-peer networking (non-COVID time)

Daily Doubt Resolution Sessions

Career Mentorship Sessions (1:1)

Exclusive Job opportunities Portal

High Performance Coaching (1:1)

AI Powered Profile Builder

Just-in-Time Interviews

Career Bootcamp

Personalised Industry Session

"Our aim is simple: We strive to create high-impact, hands-on experiences that prepare students for meaningful and productive careers.”

- Ronnie Screwvala, Co-Founder, upGrad

Top Skills You Will Learn

Python, BD processing using Spark, Deploy ML Models, Superviview more

Who Is This Programme For?

Engineers, Software and IT Professionals, Data Professionalsview more

Job Opportunities

Big Data Analyst, Data Engineer, Data Scientist, Machine Leaview more

Minimum Eligibility

Bachelor’s Degree with 50% or equivalent at graduation. Codiview more

Syllabus

Experience 650+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects.

DOWNLOAD SYLLABUS

Programming Languages and Tools

IIT Madras

LJMU

Advanced Certification from IIT Madras

Complete all the courses successfully to obtain this prestigious certification from IIT Madras.

Click to zoom

IIT Madras, India's no. 1 Ranked Engineering Institute by NIRF Ranking 5th consecutive year
Widely recognised Advanced Certification in Machine Learning and Cloud
Network with Machine Learning and Cloud professionals across all industries

Career Transition Handbook

Learn more about successful career transitions from the PG Diploma in Machine Learning by IIIT Bangalore

Download Now

Career Impact

Instructors

Learn from India's leading Machine Learning faculty and industry leaders

Dr. Janakiram D.

Professor - CSE Department

Dr. Janakiram D., a PhD, at IIT Madras heads and coordinates the research activities of the Distributed & Object Systems Lab.

Ujjyaini Mitra

Head of Analytics

An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.

Mirza Rahim Baig

Lead | Business Analytics

Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.

S. Anand

CEO

A Gold medallist from IIM Bangalore, an alumnus of IIT Madras and London School of Business, Anand is among the top 10 data scientists in India.

Vinod Seshadri

Software Architect - ML

With 14+ years of industry experience, Vinod, an MS Graduate in Machine Learning, does delivery of machine learning solutions at Wipro.

Vaidehi Takalikar

Python Expert

Vaidehi is a Post-Graduate in Computer Engineering and is experienced in training corporate employees in Tableau, Python.

Dr. Gabriela Czanner

Faculty - Engineering and Technology

A Senior Lecturer in Statistics and Data Science at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support.

Dr. Atif Waraich

Faculty - Computer Science

A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain.

Prof. Dhiya Al-Jumeily

Professor - Artificial Intelligence

A Senior Member of the IEEE and a Chartered IT Professional. He is a fellow of the UK Higher Education Academy.

Prof. Paulo Lisboa

Head of Dept - Applied Mathematics

Studied mathematical physics at LU and was the chairman of Industrial Mathematics at LJMU in 1996 and Head of Graduate School in 2002.

Chandramouleeswaran

Adjunct Faculty at IIIT Bangalore

He has 33+ years of experience in networking, embedded SW, ML. He is an Adjunct faculty at IIIT Bangalore and a visiting faculty at IIIT Lucknow.

Georgios Ouzounis

Head of ML Engineering

Technologist and visionary with over 22 years of experience and serving as the head of ML Engineering at Atlas AI in California, USA

Denis Rothman

AI Author, Speaker and Transformer Model Expert

He is one of the most sought after names in the Field of ML/ AI. He is the author of the Transformers for NLP book and is a Foundation Model Expert.

Arihant Jain

Head of Data Science & Risk

Arihant is an expert in the field of Machine Learning technologies and is currently heading Data Science and Risk at IIFL Finance

Usha Rengaraju

Chief of Research

She hails from the prestigious Harvard as well as Columbia University. She is a unicorn data scientist and have over 10 years of industry experience

Snehansu Sekhar Sahu

Applied Scientist

Snehansu is currently working as an applied scientist at Amazon . Prior to Amazon Snehansu was the Senior AI Researcher in ML & AI for Amex.

Chiranjoy Chowdhuri

Chief Analytics Officer

Chiranjoy is a Data, Analytics and AI practitioner with 13 years’ experience and In his current role, he is the Global Head of Data and Analytics at Pidilite Industries

Sajan Kedia

Machine Learning Lead

Sajan has extensive experience in the field of ML, Big Data, Data Science, and AI. He is the Machine learning lead at Myntra

Ankit Jain

ML Engineering Manager

Ankit is an experienced AI Researcher/Machine Learning Engineer and is currently works as engineering manager at Meta ( Facebook

Rohit Ghosh

Founding Member & Chief Strategy Officer

Rohit is a IIT-Bombay grad and currently Founding Member & Chief Strategy Officer of Qure.ai

Gunjan Narulkar

Director, AI/ML Product R&D

Gunjan has extensive experience in the AI- Ml products and R&D and is currently working as a director at Fidelity Investments.

Curriculum

Download Brochure

650+

Hours of Learning

25+

Case Studies and Assignments

Live Sessions

Tools and Software

Preparatory Content

1 Assignment

Python Programming
Python for Data Science
Data Visualisation in Python
Python Assignment (Optional)

Introduction to Machine Learning

6 Weeks

1 Assignment

Intro to ML + Understanding the ML pipeline
Exploratory Data Analysis and Data Visualization
Introduction to SQL
Inferential Statistics and Hypothesis Testing
Assignment

Big Data and Cloud

6 Weeks

1 Assignment

Introduction to Cloud
Working with AWS
Introduction to HDFS
Hive Querying
Case Study
Assignment

Big Data Processing using Spark

5 Weeks

1 Assignment

Introduction to Spark
PySpark Programming
PySpark implementation on a Dataset: ALS & Spark Streaming
Assignment

Machine Learning - I

5 Weeks

1 Assignment

Linear Regression
Logistic Regression
Assignment

Machine Learning - II

5 Weeks

1 Assignment

Decision Trees
Random Forest Trees
Assignment
Principal Component Analysis + Linear Algebra
Clustering

Deep Learning Fundamentals

5 Weeks

1 Assignment

Introduction to Neural Nets with TensorFlow
Convolution Neural Networks
Melanoma Detection Assignment
Recurrent Neural Networks

Natural Language Processing & Computer Vision

5 Weeks

1 Assignment

Natural Language Processing Fundamentals
Case Study on applications of Deep Learning in NLP
Case Study on Computer Vision
NN Assignment: Gesture Recognition

Deployment

2 Weeks

Deployment
Implementation: Regression + Model Selection on SageMaker

Capstone

4 Weeks

Capstone Project

Research Methodologies

8 Weeks

Introduction to Research and Research Process
Research Design
Literature Reviewing
Research Project Management
Report Writing and Presentation Skills
Scientific Ethics

Dissertation

16 Weeks

Dissertation

Industry Projects

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

IMDb Movie Analysis

Analyze movie data from the past hundred years and find out various insights to determine what makes a movie do well.

Learn More

Stack Overflow Case Study

Using EDA, help Stack Overflow implement the features in its web application such as sending notifications to relevant users if a question is raised and calculate the approximate time within which the user will receive an answer.

Learn More

Uber Case Study

Analysis of the Uber dataset to understand the demand and supply of cab services using data visualization.

Learn More

Data Warehousing Case Study

Similar to the BFSI or the healthcare industry, the telecommunications industry deals with big data situations.

Learn More

E-commerce Sales EDA Case Study

Analyze a public click stream dataset of a cosmetics store to extract valuable insights which generally data engineers come up with in an e-retail company.

Learn More

Celebrity Recognition

As part of this case study, students must use the Boto3 SDK and AWS services to build an application that scans an image stored in S3 for celebrities.

Learn More

The upGrad Advantage

Strong hand-holding with dedicated support to help you master Machine Learning.

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

Career Assistance

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

Learning Support

Industry Expert Guidance
Student Support

Practical Learning and Networking

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

Our Learners Work At

Top companies from all around the world have recruited upGrad alumni

Meet The Class

Admission Process

There are 3 simple steps in the Admission Process which are detailed below:

Step 1

Step 1: Online Eligibility Test

Fill out an application and take a short 45 mins Online test with 8 questions.

Step 2

Step 2: Review and Shortlisting of Suitable Candidates

Our faculty will review all applications. Following this, a virtual interview will be conducted before offer letters will be rolled out so you are assured a great peer group to learn and network with.

Step 3

Step 3: 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.

upGrad results reviewed by Deloitte. Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist

Empowering learners of tomorrow

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

Refer someone you know and get Gift Voucher worth ₹3,000!

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Student Reviews

Kunwar Alok

15 years experience

“You may not believe it but I had never done coding in my life. I did it during this course and was thrilled to see the outcomes coming out of those codes. Just the way I used to get happy after solving a good (tough) math problem during my school age. Thanks to upGrad for providing a great service to people like us who at the age of 43 can dream to study with budding talents around.”

Harkirat Dhillon

8 years experience

“A dedicated studying regime is the key to be successful and pass the program. This program will help build a strong foundation for a successful transition into Data Science. Additionally, participating in Hackathons and Kaggle competitions to solve real-world problems will definitely give you an edge and land a job if one is willing to work hard.”

Tuhin Pal

5 years experience

“I appreciate the platform upGrad has provided and how they have arranged modules and assignments. Modules are locked until you complete the previous one, so it feels like clearing a semester and going to the next one.”

Note

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

upGrad Learner Support

For Indian Nationals

For Foreign Nationals

We are available 24*7

Master of Science in Machine Learning & AI

In association with

Industry Experts from

Online

18 Months*

12,600+

Ranked #1 in India.

Coming Soon

Get Positive Career Growth

- Bachelor’s degree with 50% mandatory- Coding experience required

Programme Overview

Key Highlights

Top Skills You Will Learn

Who Is This Programme For?

Job Opportunities

Minimum Eligibility

Syllabus

Programming Languages and Tools

IIT Madras

LJMU

Career Impact

Instructors

Learn from India's leading Machine Learning faculty and industry leaders

Dr. Janakiram D.

Ujjyaini Mitra

Mirza Rahim Baig

S. Anand

Vinod Seshadri

Vaidehi Takalikar

Dr. Gabriela Czanner

Dr. Atif Waraich

Prof. Dhiya Al-Jumeily

Prof. Paulo Lisboa

Chandramouleeswaran

Georgios Ouzounis

Denis Rothman

Arihant Jain

Usha Rengaraju

Snehansu Sekhar Sahu

Chiranjoy Chowdhuri

Sajan Kedia

Ankit Jain

Rohit Ghosh

Gunjan Narulkar

Curriculum

Preparatory Content

Introduction to Machine Learning

Big Data and Cloud

Big Data Processing using Spark

Machine Learning - I

Machine Learning - II

Deep Learning Fundamentals

Natural Language Processing & Computer Vision

Deployment

Capstone

Research Methodologies

Dissertation

Industry Projects

IMDb Movie Analysis

Stack Overflow Case Study

Uber Case Study

Data Warehousing Case Study

E-commerce Sales EDA Case Study

Celebrity Recognition

The upGrad Advantage

Job Opportunities

Career Assistance

Learning Support

Practical Learning and Networking

Our Learners Work At

Meet The Class

Admission Process

Step 1

Step 1: Online Eligibility Test

Step 2

Step 2: Review and Shortlisting of Suitable Candidates

Step 3

Step 3: Content

Empowering learners of tomorrow

Refer someone you know and get Gift Voucher worth ₹3,000!

- Bachelor’s degree with 50% mandatory
- Coding experience required