Amazon India has invited applications from students for the second edition of Online Machine Learning (ML) Summer School.
Amazon India has announced the launch of the second edition of its Online Machine Learning (ML) School, which is an immersive program that aims to provide students the opportunity to learn key machine learning technologies from Scientists at Amazon making them industry ready for careers in science.
The program, which was launched in 2021, Amazon Machine Learning School is being expanded and is being opened for students enrolled in any recognized institute in India who are expected to graduate in 2023 or 2024. The Amazon India Machine Learning Summer School will be held online, and is being offered for free to students. Summer school students will also be able to attend to the Amazon Research Days (ARD) conference, where they can hear presentations from renowned machine learning leaders around the world.
Key Take Aways of the Amazon India Machine Learning Summer School:
Some of the key take aways of the Amazon India Machine Learning School are as follows:In-depth knowledge on key machine learning topics will be delivered from Amazon Scientists.
Participants will be given a platform to interact with scientists and learn about break-through innovation.
The summer school is an opportunity for students to prepare for a career in machine learning.
More details about the course:
The course, conducted over four weekends in July, will provide students with an opportunity to gain skills on key machine learning topics such as:
Deep neural networks.
Reinforcement learning and causal inference.
Who can Participate in Amazon India Machine Learning School?
Students who are set to graduate in 2023 or 2024 and are pursuing the following full-time degrees can apply:
Research or Integrated Masters.
The summer school will be conducted from2 to 24 July 2022, and those who wish to register will have to enrol on the official website before 18 June 2022. The program is free, and there is no nee to pay any fee to attend the program.
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