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.
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.
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 with 20 years of experience.
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 is a Post-Graduate in Computer Engineering and is experienced in training corporate employees in Tableau, Python.
Senior Data Scientist at Gramener
Jaidev is a Sr. Data Scientist who comes with an extensive experience in data science and predictive analytics.
Lead Data Scientist - Vodafone Idea Limited
Pramod is a Lead Data Scientist who actively work on AWS Cloud, Big Data and Machine learning.
Data Scientist, Zest Money
Arihant is a Lead Data Scientist and has experience working in Retail, Credit Risk, Marketing, Banking, Digital, Industrial IoT & Telecom domains.
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Machine Learning.
- 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
- - Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome
- - 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
- - Obtain specific, AI powered inputs on your resume and Linkedin structure along with content on real time basis
- - Get access to Industry Experts and discuss any queries before your interview
- - Career bootcamps to refresh your technical concepts and improve your soft skills
- - Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
- - Personalised Industry Session in small groups (of 10-12) with industry experts to augment program curriculum with customized industry based learning
- - Available all days 9 AM - 9 PM IST
- - For urgent queries, use the Call Back option on the platform
- - 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
- - Industry oriented tests which are prepared and validated by domain experts for continuous evaluation and improvement
Our Learners Work At
Top companies from all around the world have recruited upGrad alumni
There are 4 simple steps in the Admission Process which are detailed below:
Step 1: Take the Online Eligibility Test
Fill out an application and take a quick 45 minute online test with 8 questions to start the admission process.
Step 2: Review & 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: 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.
Programme Fee - Indian Residents
INR 2,00,000 (incl. taxes)
Starting at INR 6,319/month