Amazon launches Machine Learning School for engineering students

E-commerce major Amazon India has launched ML Summer School to offer applied Machine Learning (ML) skills to students.
Engineering student
Amazon’s ML Summer School will offer an opportunity to a batch of students from select tech campuses in India to engage through virtual classroom tutorials followed by Q&A sessions with scientists at Amazon.

The program will act as a refresher course for students with prior exposure to certain areas of ML, 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,” said Rajeev Rastogi, VP, India Machine Learning at Amazon.

ML Summer School is open to engineering students in their pre-final/final year of Bachelors, Masters or PhD studies across select tech campuses in 2021.

ML Summer School will identify participants identified through an online assessment. Students will 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.

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

Engineering 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.