Amazon India had announced on Sunday the launch of an integrated learning program for students which allows them to learn applied Machine Learning (ML) skills and aims to make them industry-ready for careers in the new technology.

The programme ML Summer School- has been introduced to train students in ML and address the growing demand for talent with this skill in various industries.

ML Summer School curriculum will cover the fundamentals of ML while linking them to the practical applications through an immersive 3-day course. Students will learn first-hand how advanced ML techniques such as Probabilistic Graphical Models and Deep Learning can be supported to solve specific business problems in the e-commerce domain such as catalogue quality, product recommendations, online advertising, search ranking and demand forecasting.

It is open for engineering students in their pre-final/final year of Bachelors, Masters or PhD across various tech campuses in 2021, including Indian Institute of Technology (IIT) Bombay, IIT Delhi, IIT Madras, IIT Kharagpur, IIT Kanpur, Indian Institute of Science (IIsc), International Institute of Information Technology (IIIT) Hyderabad, IIT Banaras Hindu University (BHU), IIIT Delhi, IIIT Bangalore, Birla Institute of Technology (BITS), IIT Indian School of Mines (ISM) Dhanbad, IIT Hyderabad, IIT Roorkee, National Institute of Technology (NIT) Tiruchirappalli, NIT Warangal, NIT Surathkal, Anna University and Delhi Technological University (DTU).

Students can apply online at amazonmlssummerschoolindia.splashthat.com. Participants will also have access to the Amazon Research Days (ARD) conference, where they can learn about the industry’s technology trends through presentations of renowned ML leaders around the world.

Students from select tech campuses in India will be given an opportunity to interact with scientists at Amazon through virtual classroom tutorials and Q&A sessions.

“Through ML, we are trying to help students to learn about the latest trends in the field of ML and apply them to solve real-world problems; we aim to prepare students for science roles- this will help reduce the gap between the growing demand for ML roles across companies and the talent pool with applied ML skills,” said Rajeev Rastogi, VP- India Machine Learning at Amazon.

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