- 50% (or equivalent) Bachelor's Degree preferably in a Mathematical/ Statistical background.
- Recommended 1 year of work experience in programming/ analytics.
Experience 500+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects.
Experience 750+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects
Solve the most crucial business problem for a leading telecom operator in India and southeast Asia - predicting customer churn.
Learners will apply Q-Learning to train an RL agent to play the game of numerical Tic Tac Toe.
Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank
Build a machine learning model capable of detecting fraudulent transactions. Here you have to predict fraudulent credit card transactions with the help of machine learning models.
Build a neural network from scratch in Tensorflow to identify the type of skin cancer from image.
Make a Smart TV system which can control the TV with user’s hand gestures as the remote control.
Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platform.
Learners will use the Markov Decision Process & Q-Learning to build an RL agent that learns to choose the best request so as to maximize the total profit earned by the agent that day.
You will build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset.
Build a model that can help any visually impaired person in understanding image present before them. It is a deep learning model which can explain the content of an image in the form of speech.
Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune the product recommendation system.
Predict the sales for a european pharma giant using a host of different types of variables. Apply VAR and VARMAX models to build the appropriate model
Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa. CycleGAN model is used for producing T2 type MRI images given T1 type input MRI images
You will build an attention-based neural machine translation model translating from one language to another.
Create a custom object detector using the YOLO algorithm to detect the presence of face masks in the images of different people.
There are 3 simple steps in the Admission Process which are detailed below:
Complete your application and take a quick 40 minutes online test to start the admission process with 18 aptitude questions.
Admissions Committee reviews the test score & profile to shortlist learners and send offer letters to.
Reserve your seat by paying the enrolment amount to enrol in the program.
*More details under the referral policy under Support Section
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
This program is designed for working professionals looking to pick up skills in advanced concepts like Reinforcement Learning, Graphical Models, NLP, Deep Learning along with a solid foundation of Statistics. This program demands consistent work and time commitment over the entire duration of 20 months.
Post completion of the program, a certificate in Executive PG Program in Machine Learning and AI will be granted from IIIT Bangalore and a Master's Degree from LJMU.
upGrad, IIITB, LJMU, world-class faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the candidates can receive the best possible learning experience. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Machine Learning and AI.
The applicants will have to take a selection test designed to check their mathematical and programming abilities. The applicants can skip the test if they meet the following criteria:
50% (or equivalent) Bachelor's Degree preferably in a Mathematical/ Statistical background. Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience