"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
Experience 650+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects.
Analyze movie data from the past hundred years and find out various insights to determine what makes a movie do well.
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.
Analysis of the Uber dataset to understand the demand and supply of cab services using data visualization.
Similar to the BFSI or the healthcare industry, the telecommunications industry deals with big data situations.
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.
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.
There are 3 simple steps in the Admission Process which are detailed below:
Fill out an application and take a short 45 mins Online test with 8 questions.
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.
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.
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
This programme is for you if you have:
Experience in areas of Data Analytics / Software Development / Cloud Management / Database Management / Machine Learning, etc.
Undergraduate student in disciplines such as engineering, Maths/Statistics.
The programme will benefit you in different ways depending on your prior experiences:
The programme will familiarise you with the advancements in Machine Learning and Cloud. It will also help you understand how machine learning models are deployed using cloud so that you can transition to a Data Scientist / Machine Learning Engineer / Data Engineer / Data Analyst (using Cloud) roles.
This programme intends to produce extremely well-rounded Data Scientists and Machine Learning professionals with knowledge of cloud with expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.
This programme is designed for working professionals looking to pick up skills in advanced concepts such as Machine Learning, Cloud, Data Warehousing, Data Management, Big Data Processing, and Deployment of Machine Learning Models. This programme demands consistent work and time commitment over the entire duration of 18 months*
Post completion of the programme, an Advanced Certification in Machine Learning and Cloud will be granted from IIT Madras & a M.Sc. degree from Liverpool John Moores University.
The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the programme comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.
Refund Policy: (Programmes with prep-session component)
Deferral Policy: (Post Programme Commencement)
Deferral Policy: (Pre Programme Commencement)
Step 1 - Online Eligibility Test
Fill out an application and take a short 45 mins Online test with 8 questions.
Step 2 - Review and Shortlisting of Suitable Candidates
Our faculty will review all application, 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 -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.