Amazon ML Summer School 2025: Check Eligibility, Benefits and How to Apply

Amazon ML Summer School 2025 is back with its fifth edition, and this time it’s bigger and better. This prestigious program by Amazon offers engineering students in India a golden opportunity to learn Machine Learning (ML) directly from Amazon scientists—at no cost.

With registrations open until July 31, 2025, the summer school is fully virtual, making it accessible to students across India. If you aim to build a strong career in ML and AI, this could be your stepping stone.

What is Amazon ML Summer School 2025?

Amazon ML Summer School is an intensive ML training program created to empower Indian students with real-world machine learning skills. The program helps students understand the fundamentals and advanced topics in ML through tutorials led by Amazon’s applied scientists.

This year, the program is open to engineering students graduating in 2026 or 2027. It covers eight full-day sessions between August 9 and August 31, 2025.

Amazon ML Summer School 2025 Dates and Timeline

MilestoneDate
Last Date to RegisterJuly 31, 2025
Online Selection TestAugust 3, 2025
Shortlist AnnouncementAugust 7, 2025
Program DurationAug 9–31, 2025
Delivery ModeVirtual (Online)

Note: The Top 3,000 students will be shortlisted based on performance in the selection test.

Detailed Program Schedule

Each session includes:

  • Morning ML modules (9:00 AM – 1:00 PM IST)
  • Break (1:00 PM – 2:00 PM IST)
  • Live Q&A with Amazon Scientists (2:00 PM – 5:00 PM IST)

Session Dates:

  • August 9 & 10
  • August 16 & 17
  • August 23 & 24
  • August 30 & 31

Eligibility Criteria

To apply for Amazon ML Summer School 2025, you must:

  • Be enrolled in a B.Tech, M.Tech, or PhD program from any recognized institute in India.
  • Have an expected graduation year of 2026 or 2027.
  • Be able to attend all sessions virtually on the given dates.

Amazon’s past, current, and incoming interns are also eligible.

Amazon ML Summer School 2025 Registration Process

Step-by-Step Guide:

  1. Register by July 31, 2025
    Visit the Official Registration Page and fill in the required details.
  2. Take the Selection Test on August 3, 2025
    • Part A: 20 MCQs on ML concepts, probability, statistics, and linear algebra
    • Part B: 2 Programming Questions
      (Total Duration: 60 minutes)
  3. Get Shortlisted
    Results will be shared by August 7, and shortlisted students will get a confirmation email.
  4. Attend the Program
    Attend 8 live online sessions starting August 9, 2025.

Read Also Spotify Internship 2025; Early Career Program: Apply Now

Meet the Teachers Who Conduct The Program

Participants will be trained by Amazon experts, including

These mentors are not just instructors—they’re pioneers in the ML domain working on real-world systems at Amazon.

Frequently Asked Questions (FAQs)

Q1. What is the Amazon ML Summer School 2025 registration last date?

The last date to register is July 31, 2025.

Q2. Who can apply for the program?

Engineering students in B.Tech, M.Tech, or PhD programs graduating in 2026 or 2027.

Q3. What is the test format for selection?

The test includes MCQs on math/ML basics and 2 coding questions. Duration: 60 minutes.

Q4. Can I take the test at any time?

A. Yes, but only within your assigned time slot. If your slot is 9–10 AM and you join at 9:30, you’ll have only 30 minutes to complete it.

Q5. Is there a fee to attend?

No, Amazon ML Summer School is completely free.

Conclusion

The Amazon ML Summer School 2025 is more than just an online training—it’s a career-defining opportunity. With guidance from Amazon’s top scientists, real-world exposure to machine learning, and a rigorous curriculum, it’s the ideal platform to start your ML journey.

If you’re a student graduating in 2026 or 2027, this is your chance to learn ML the right way—directly from Amazon experts.

Don’t wait. Apply before July 31, 2025, and take the first step toward building your career in machine learning.

Injamul is a Passionate Job Content Writer holding 2.5 years of Experience in this Industry. With over 2.5 years of experience in content writing, he specializes in creating valuable and well-researched articles related to internships, jobs, and career guidance for students and early professionals.

Leave a Comment