Eligibility:
Bachelor’s Degree with 50% or equivalent passing marks. Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience.
Experience 600+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects
Experience 600+ 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.You will build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset.
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.
To build an attention based Encoder-Decoder architecture for translating between English to Hindi & vice versa.
Create a custom object detector using the YOLO algorithm to detect the presence of face masks in the images of different people.
To create an ML system that can predict the propensity of customers cancelling the subscription plan.
Help in creating a Data / AI Strategy for an ecommerce company by creating their roadmaps, solutions for use cases & prioritization frameworks.
To build a lead scoring ML system that can remove junk calls by categorising leads on the basis of propensity to purchase. The system built should be able to reduce the customer acquisition costs in the long run.
Fill out an application and take a quick 40-minute online test with 18 questions to assess your aptitude.10 questions from mathematics, aptitude & reasoning & 8 questions from programming.
Our faculty will review all applications, considering the educational & professional background of an applicant, review the test scores where applicable. Following this, Offer Letters will be rolled out so you are assured a great peer group to learn & 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.
*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 for you if you are a:
Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala.
Statistician: If you received formal education in statistics or mathematics or if you have any prior working experience.
Data Engineer/Big Data Engineer: If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark.
Software Developer: If you have prior experience in creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.
The program will benefit you in different ways depending on your prior experiences:
Data Scientist or Senior Data Analyst: The program will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role.
Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the program will help you understand how to define a structured approach to solve a business problem, and equip you with the right tools so that you can transition to a Machine Learning or Data Science role.
Data Engineer/Big Data Engineer: The program will set up a solid foundation of Statistics, Machine Learning, and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional.
Software Developer: The program will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional.
This program intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, 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 like Reinforcement Learning, Graphical Models, NLP, Deep Learning along with a solid foundation of Statistics. This programme demands consistent work and time commitment over the entire duration of 13 months.
This programme is NOT intended to serve as an entry point to the field of Data Science. It is aimed at developing professionals who can be absorbed into Senior Data Scientist and Machine Learning/AI roles. Our Executive PG Programme in Machine Learning and AI is aimed at facilitating the transition of professionals to the Machine Learning field.
Post completion of the program, a Executive PG Program in Machine Learning & Artificial Intelligence will be granted from IIIT Bangalore.
STEP-1: Online Eligibility Test
Fill out an application and take a quick 40-minute online test with 18 questions to assess your aptitude.10 questions from mathematics, aptitude & reasoning & 8 questions from programming.
STEP-2: Review and 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: Enrollment for Access to Prep 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.