[ad_1]
Amazon India invites students to its online Machine Learning (ML) summer school with the goal of learning key machine learning techniques from scientists at Amazon.
aAmazon India is inviting students to apply for the second edition of its online Machine Learning (ML) Summer School. The course aims to teach key machine learning techniques by scientists at Amazon and to make candidates industry-ready for careers in science. The free course, which was launched in 2021, is open to students enrolled in any recognized institute in India, who are expected to graduate in 2023 or 2024.
Rajeev Rastogi, Vice President of Applied Sciences at ML, says, “Educational sessions covering the right mix of theoretical and practical knowledge will be delivered by ML scholars who are experts in their field. This program will be a platform to help promote excellence in machine learning and strive towards Developing applied science skills in young talents.
Things to know:
- Only Indian nationals can apply.
- The course will take place over four weekends in July.
- Students who are scheduled to graduate in 2023 or 2024 and are pursuing full-time degrees in BE, ME, BTech, MTech, Ph.D. and Research or Integrated Masters.
- The live online class is free.
- Topics of study include deep neural networks, sequential models, dimensionality reduction, unsupervised learning, reinforcement learning, and causal inference.
- Participants will be given a chance to interact with scientists and learn about breakthrough innovations.
- After each session, a live Q&A round will be conducted.
- Candidates will undergo a selection test to gain entry to the course.
- go to Official Website to sign up.
- listening to Leadership talk Lecture on Machine Learning (ML) on June 16, 2022.
- Candidates have to take an online selection test after that.
- Those selected will be notified and login credentials will be shared via email before classes begin.
important dates:
- Registration start date – June 6, 2022
- Application deadline – 18 June 2022
- Selection test date – 18th June 2022
- Information regarding selection – 23 June 2022
- Class dates – 2, 3, 9, 10, 16, 17, 23 and 24 July 2022
Edited by Yoshita Rao
[ad_2]
