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Machine Learning Summer School

About the Company
Amazon’s Machine Learning Summer School offers a unique opportunity to cultivate your machine learning (ML) expertise under the guidance of Amazon specialists.
Job Description
The Amazon ML Summer School is designed to equip students with essential machine learning capabilities, serving as a foundational step towards a career in the field. This comprehensive course delves into fundamental ML topics and provides a valuable platform for learning from and engaging with Amazon Scientists who possess extensive knowledge within their respective ML domains. Building upon the success of its previous four iterations, the fifth edition of the Amazon ML Summer School is open to students currently enrolled in any accredited Indian institution and are expected to graduate in either 2026 or 2027.
| Company Name | Amazon |
|---|---|
| Role | Machine Learning Summer School |
| Location | India |
| Salary | |
| Job Type | Internship |
Responsibilities
Qualifications
- Students pursuing a Bachelor’s/Master’s/PhD degree in Engineering from any recognized institution in India and expected to graduate in 2026 or 2027 are eligible to apply.
Skills
ATS Keywords
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Frequently Asked Questions
Students pursuing a Bachelor’s, Master’s, or PhD degree in Engineering from any recognized institution in India and expected to graduate in 2026 or 2027 are eligible to apply.
The program dates are from August 9, 2025, to August 31, 2025.
The program covers fundamental ML topics and provides a valuable platform for learning from and engaging with Amazon Scientists.
You can apply via the provided link: https://www.scaler.com/partnerships/amazon
Other Information
Application Deadline: 2025-07-31
Program Dates: 2025-08-09 – 2025-08-31
Tags
How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.










