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Amazon India to impart core skills to make students industry-ready

Amazon India announced the launch of an integrated learning programme for students to learn applied Machine Learning (ML) skills, making them industry ready for careers in the new technology.

Topics
Amazon India | Machine Learning | Students

Press Trust of India  |  New Delhi 



Amazon and JPMorgan first issued a card together in 2002 and their offerings have long operated on the Visa Inc. network.
Amazon and JPMorgan first issued a card together in 2002 and their offerings have long operated on the Visa Inc. network.

on Sunday announced the launch of an integrated learning programme for to learn applied (ML) skills, making them industry ready for careers in the new technology.

The programme - ML Summer School - has been introduced to help train in ML and address the growing demand for talent with this skill set across various industries, said in a statement.

The curriculum will cover the fundamental concepts in ML, while linking them to practical industry applications through an immersive three-day course, it added.

Participants of the ML Summer School will be identified through an online assessment.

It is open to engineering in their pre-final/final year of Bachelors, Masters or PhD studies across select tech campuses in 2021, including Indian Institute of Technology (IIT) Bombay, IIT Kharagpur, IIT Delhi, International Institute of Information Technology (IIIT) Hyderabad, Birla Institute of Technology (BITS), National Institute of Technology (NIT) Tiruchirappalli and Anna University among others.

Students will get to learn first-hand on how advanced ML techniques such as Deep Learning and Probabilistic Graphical Models can be leveraged to solve specific business problems in the e-commerce domain such as demand forecasting, catalogue quality, product recommendations, search ranking and online advertising, the e-commerce major noted.

They will also have access to the Amazon Research Days (ARD) conference, where they can learn about technology trends in industry through presentations from renowned ML leaders around the world.

said a batch of students from select tech campuses in India will be given the opportunity to engage through virtual classroom tutorials, followed by interactive Q&A sessions with scientists at Amazon.

For students with prior exposure to certain areas of ML, the programme can act as a refresher course, while additionally providing a practical perspective on ML applications in industry.

"With the pace of advancements in ML, we are proactively helping students to learn about the latest trends in the field of ML and apply them to solve real-world problems," Rajeev Rastogi, VP - India at Amazon, said.

He added that the company has collaborated with universities to provide hands-on learning experiences to students who are passionate to learn more about ML applications in industry.

"Our aim is to prepare students for science roles - this will help to reduce the gap between the growing demand for ML roles across and the talent pool with applied ML skills," Rastogi said.

In a blog, Amazon India noted that its team is driving innovations that "have a profound impact not only on shoppers in India, but also on customers around the world".

"Models developed by Amazon's scientists in India have been used globally to improve the quality of Amazon's catalog by extracting missing attribute values from titles and images, and backfilling them; and ensuring that for all products, images match with the title," the blog said.

ML algorithms for improving address quality in India are being leveraged in other marketplaces to identify poor quality addresses and categorise addresses as Residential or Commercial, it added.

In addition, including delivery speed as a feature in search ranking a key factor that helps surface 'faster' offers to customers in search results was first launched in Amazon India, it said.

(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)


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First Published: Sun, June 13 2021. 14:31 IST

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