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Amazon
Machine Learning
Summer School
Amazon
Machine Learning
Summer School
Learn from Amazon experts & build
your ML Skills
Learn from Amazon experts & build
your ML Skills
Application Deadline - July 31st, 2025
Program Dates - Aug 9th - Aug 31st, 2025
Steps to Apply
Steps to Apply
1
Register
by 31st July 2025
2
Selection Test
on 3rd Aug 2025
3
Shortlisting
by 7th Aug 2025
4
Program Starts
on 9th Aug 2025
About the Program
About the Program
Amazon ML Summer School aims at providing students the opportunity to gain Machine Learning (ML) skills and which is the first step in becoming ready to build a career in ML. This program is an intensive course on key ML topics and is a great opportunity to learn from and interact with Scientists at Amazon who have immense knowledge in their ML domain. After the successful fourth edition in 2024, the fifth edition of Amazon ML Summer School is being launched for students enrolled in any recognized institute in India and who are expected to graduate in 2026 or 2027.
Amazon ML Summer School aims at providing students the opportunity to gain Machine Learning (ML) skills and which is the first step in becoming ready to build a career in ML. This program is an intensive course on key ML topics and is a great opportunity to learn from and interact with Scientists at Amazon who have immense knowledge in their ML domain. After the successful fourth edition in 2024, the fifth edition of Amazon ML Summer School is being launched for students enrolled in any recognized institute in India and who are expected to graduate in 2026 or 2027.
Key Takeaways
Key Takeaways
In-depth knowledge on key ML topics from Amazon Scientists
In-depth knowledge on key ML topics from Amazon Scientists
Opportunity to prepare for a career in ML
Opportunity to prepare for a career in ML
Networking opportunity with Scientists and learn about break-through innovation
Networking opportunity with Scientists and learn about break-through innovation
Program Schedule
Program Schedule
Aug 9th 2025
Module 1
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 9th 2025
Module 1
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 9th 2025
Module 1
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 10th 2025
Module 2
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 10th 2025
Module 2
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 10th 2025
Module 2
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 16th 2025
Module 3
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 16th 2025
Module 3
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 16th 2025
Module 3
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 17th 2025
Module 4
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 17th 2025
Module 4
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 17th 2025
Module 4
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 23rd 2025
Module 5
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 23rd 2025
Module 5
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 23rd 2025
Module 5
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 24th 2025
Module 6
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 24th 2025
Module 6
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 24th 2025
Module 6
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 30th 2025
Module 7
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 30th 2025
Module 7
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 30th 2025
Module 7
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 31st 2025
Module 8
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 31st 2025
Module 8
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
Aug 31st 2025
Module 8
Module (09:00 am - 1:00 pm IST)
Break (1:00 pm - 2:00 pm IST)
Live Q&A with Scientists (2:00 pm - 5:00 pm IST)
What our leaders say about Amazon ML School
What our leaders say about Amazon ML School
Rajeev Rastogi
Vice President, Applied Science, Central Machine Learning
"Amazon ML Summer School aims to provide participating students with best-in-class training on broad range of topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art. The tutorial sessions covering right mix of theoretical and practical knowledge will be delivered by our ML scientists who are experts in their field. This program will be a platform to help foster ML excellence and strive towards developing applied science skills in young talent."
"Amazon ML Summer School aims to provide participating students with best-in-class training on broad range of topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art. The tutorial sessions covering right mix of theoretical and practical knowledge will be delivered by our ML scientists who are experts in their field. This program will be a platform to help foster ML excellence and strive towards developing applied science skills in young talent."
Suman Yadav
Director, Amazon University Talent Acquisition
“A broad spectrum of opportunities is opening up for students in the space of Machine Learning. To ensure students are ready to make the most of these, Amazon is launching ML Summer School – a skill building program which provides students a right mix of theoretical and practical knowledge. This program, over and above academics, is designed to build a strong foundation in key ML technologies and is a step towards assisting students to chart out careers in ML.”
“A broad spectrum of opportunities is opening up for students in the space of Machine Learning. To ensure students are ready to make the most of these, Amazon is launching ML Summer School – a skill building program which provides students a right mix of theoretical and practical knowledge. This program, over and above academics, is designed to build a strong foundation in key ML technologies and is a step towards assisting students to chart out careers in ML.”
Vineet Chaoji
Director, Machine Learning, Central Machine Learning
"We are very excited to launch the first ML Summer School for students across India. While designing the Summer School, our main objective was to provide a deeper understanding of a few key topics within Machine Learning, augmented with a practical industry perspective. The modules of ML Summer School will supplement the course work that students have taken at their institutes and help them better prepare for solving practical problems out in the industry."
"We are very excited to launch the first ML Summer School for students across India. While designing the Summer School, our main objective was to provide a deeper understanding of a few key topics within Machine Learning, augmented with a practical industry perspective. The modules of ML Summer School will supplement the course work that students have taken at their institutes and help them better prepare for solving practical problems out in the industry."
Learn about Machine Learning opportunities for students
Learn about Machine Learning opportunities for students
Meet Amazon ML School 2025 Tutors
Meet Amazon ML School 2025 Tutors
Anil Kumar N
Applied Scientist
Anil Kumar N
Applied Scientist
Anil Kumar N
Applied Scientist
Aadil Hayat
Applied AI Scientist
Aadil Hayat
Applied AI Scientist
Aadil Hayat
Applied AI Scientist
Dinkar Vasudevan
Sr. Applied Scientist
Dinkar Vasudevan
Sr. Applied Scientist
Dinkar Vasudevan
Sr. Applied Scientist
Gokul Swamy
Sr. Applied Scientist
Gokul Swamy
Sr. Applied Scientist
Gokul Swamy
Sr. Applied Scientist
Faizan Ahemad
Applied Scientist
Faizan Ahemad
Applied Scientist
Faizan Ahemad
Applied Scientist
Kartik Mehta
Sr. Applied Scientist
Kartik Mehta
Sr. Applied Scientist
Kartik Mehta
Sr. Applied Scientist
Mayank Sharma
Applied Scientist
Mayank Sharma
Applied Scientist
Mayank Sharma
Applied Scientist
Nikita Prabhu
ML Scientist
Nikita Prabhu
ML Scientist
Nikita Prabhu
ML Scientist
Nitesh Kansal
Applied Scientist
Nitesh Kansal
Applied Scientist
Nitesh Kansal
Applied Scientist
Philip Schulz
ML Scientist
Philip Schulz
ML Scientist
Philip Schulz
ML Scientist
Prakash M Comar
Sr. ML Scientist
Prakash M Comar
Sr. ML Scientist
Prakash M Comar
Sr. ML Scientist
Pritam Varma
Research Scientist
Pritam Varma
Research Scientist
Pritam Varma
Research Scientist
Questions? We got answers for you
Questions? We got answers for you
What is the eligibility criteria for enrolling in ML Summer School?
Engineering students enrolled in Bachelor’s/Master’s/ PhD degree from any recognized institute of India and are expected to graduate in 2026 or 2027 are eligible to enroll in ML Summer School.
What is the eligibility criteria for enrolling in ML Summer School?
Engineering students enrolled in Bachelor’s/Master’s/ PhD degree from any recognized institute of India and are expected to graduate in 2026 or 2027 are eligible to enroll in ML Summer School.
What is the eligibility criteria for enrolling in ML Summer School?
Engineering students enrolled in Bachelor’s/Master’s/ PhD degree from any recognized institute of India and are expected to graduate in 2026 or 2027 are eligible to enroll in ML Summer School.
What is the selection criteria?
What is the selection criteria?
What is the selection criteria?
Are Amazon’s past, current and incoming interns eligible to participate in this program?
Are Amazon’s past, current and incoming interns eligible to participate in this program?
Are Amazon’s past, current and incoming interns eligible to participate in this program?
What is the program schedule for ML Summer School?
What is the program schedule for ML Summer School?
What is the program schedule for ML Summer School?
In which mode is the program being hosted in 2025?
In which mode is the program being hosted in 2025?
In which mode is the program being hosted in 2025?
Is there a registration fee or course fee?
Is there a registration fee or course fee?
Is there a registration fee or course fee?
Can i change my test slot?
Can i change my test slot?
Can i change my test slot?
Can i start the test anytime between the slot?
Can i start the test anytime between the slot?
Can i start the test anytime between the slot?
What happens if i accidentally end the test?
What happens if i accidentally end the test?
What happens if i accidentally end the test?
Will i be able to give a sample test to understand the difficulty and pattern?
Will i be able to give a sample test to understand the difficulty and pattern?
Will i be able to give a sample test to understand the difficulty and pattern?
How many will be shortlisted after the exam?
How many will be shortlisted after the exam?
How many will be shortlisted after the exam?
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Scaler’s Offerings
©️ 2023 InterviewBit Technologies Pvt. Ltd. All Rights Reserved.
Scaler’s Offerings
©️ 2023 InterviewBit Technologies Pvt. Ltd. All Rights Reserved.