Benefits with upGrad
360 Degree Career Support services, Personalised Mentorship from Industry Experts, Hands-on Projects & Hackathons, Peer Networking opportunities & a whole lot more to help you master Machine Learning & AI.
- Get 1:1 Resume Review Sessions with Industry Experts & a dedicated Career Mentor
- Profile Building Workshops: Live sessions on how to build your profile - be it your resume or GitHub profile
- Explore 100+ commonly asked interview questions across modules
- Just-in-Time Interviews: Get company and role-specific preparation with mock interviews right before your actual interviews
- Access to a carefully curated pool of interview resources per company to ensure you're interview-ready
- Fortnightly personalised group (1:8) mentorship sessions with industry experts for pro-active mentoring
- Calls with industry experts for personalised feedback & guidance spread over 3 months
- Live interactive sessions with leading industry experts covering curriculum + advanced topics
- Student Success Mentor to track your program progress & aid you at every point with all doubts
- A dedicated Career mentor to help track your weekly company application targets, coach you on your profile and assist with your career transition journey
- 12+ projects & assignments and a Capstone Project to choose from 10 options
- 1 Hackathon every quarter to apply learnings
- Live coding classes on Kaggle & OpenCV & sessions to build your Github profile
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- Reverse knowledge transfer sessions (FLIP classrooms) with learners tutoring fellow batchmates
- Peer to peer networking opportunities with a alumni pool of 10000+
- Lab walkthroughs of industry-driven projects
Learn from leading ML & AI faculty and industry leaders
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
Director | Data Science
He has a Ph.D. (Dual) from Penn State University as well as a B.Tech. Degree from IIT Bombay.
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.
Sr. Research Scientist
An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.
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
Dean | Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and over 10 years of experience in several multinational organisations.
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. She is currently the dean of IIIT-B
Prof. S. Sadagopan
Prof. Sadagopan is the Director of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as a B.E. (Hons) degree from Madras University.
Prof. G. Srinivasaraghavan
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies.
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.
Our Learners Work At
Top companies from all around the world have recruited upGrad alumni
There are 3 simple steps in the Admission Process which are detailed below:
Step 1: Take the online eligibility test
Complete your application to take a 18 question online eligibility test to start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring you are ready for the program.
Step 2: Get shortlisted & receive your offer letter
Our Admissions Committee will review your test score & profile. Upon qualifying, an offer letter will be sent to you confirming your admission in Master's in Machine Learning & Artificial Intelligence.
Step 3: Confirm your seat & begin with your prep - course
Confirm your seat by enrolling into the program by making an initial block payment. Begin with your preparatory course & start your start your career in Machine Learning.