Are you a student passionate about Machine Learning (ML) and dreaming of a career in this exciting field? Amazon Machine Learning Summer School 2025 is here to give you the opportunity to learn from the best! This intensive program is designed to help students gain in-depth knowledge of ML concepts while interacting directly with Amazon Scientists.
With the successful completion of four previous editions, Amazon is back with the 5th edition of this highly anticipated ML Summer School. Don’t miss the chance to prepare yourself for a thriving career in Machine Learning!
Overview | Amazon ML Summer Program 2025
| Program Name | Amazon Machine Learning Summer School |
| Eligibility | Bachelor’s, Master’s, or PhD degree |
| Qualification | Free ML Training, Industry Skills Development, Career Growth Boost |
| Experience | Fresher’s can apply |
| Last date to apply | July 31st, 2025 |
| Location | Online |
Eligibility Criteria | Amazon ML Summer Program 2025
1) Education: Must be currently enrolled in a Bachelor’s, Master’s, or PhD degree program from any recognized institute in India.
2) Graduation Year: Eligible students are those expected to graduate in 2026 or 2027.
3) Field of Study: Open to engineering students from any specialization with an interest in Machine Learning.
4) Amazon Interns: Past, current, and incoming Amazon interns are eligible to participate in this program.
Selection Process | Amazon ML Summer Program 2025
1) Online Registration (Deadline – 31st July 2025):
- Students must complete the online application form before the deadline.
- Only those who meet the eligibility criteria will be allowed to proceed.
2) Selection Test (3rd August 2025):
- All registered students will appear for a selection test.
- The test will assess your problem-solving, programming, and analytical skills needed for Machine Learning.
- Students are encouraged to brush up on mathematics, data structures, algorithms, and basic ML concepts.
3) Shortlisting (7th August 2025):
- Based on test scores, shortlisted students will be notified via email.
- Selected candidates will receive detailed instructions regarding the program schedule and participation.
4) Program Commencement (9th August 2025):
- The program will run on weekends until 31st August 2025.
- Shortlisted students will officially begin the Amazon ML Summer School 2025.
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Program Schedule | Amazon ML Summer Program 2025
Daily Schedule
- Module Sessions: 09:00 AM – 01:00 PM IST
- Break: 01:00 PM – 02:00 PM IST
- Live Q&A with Amazon Scientists: 02:00 PM – 05:00 PM IST
Detailed Dates
Module 8: August 31, 2025 (Sunday)
Module 1: August 9, 2025 (Saturday)
Module 2: August 10, 2025 (Sunday)
Module 3: August 16, 2025 (Saturday)
Module 4: August 17, 2025 (Sunday)
Module 5: August 23, 2025 (Saturday)
Module 6: August 24, 2025 (Sunday)
Module 7: August 30, 2025 (Saturday)
Key Takeaways | Amazon ML Summer Program 2025
1) In-depth Knowledge of Machine Learning Concepts: Learn core ML topics such as supervised and unsupervised learning, deep learning, neural networks, and natural language processing directly from Amazon Scientists.
2) Hands-on Exposure to Industry Applications: Gain practical insights into how Machine Learning is applied at Amazon to solve real-world business problems.
3) Expert Guidance from Amazon Scientists: Interact with some of the best minds in the industry, get answers to your questions, and receive career guidance.
4) Career Preparation in ML: Build a strong foundation in Machine Learning that will help you prepare for internships, jobs, and research opportunities.
5) Networking Opportunities: Connect with peers, Amazon Scientists, and industry professionals, opening doors to new opportunities and collaborations.
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How to Apply? | Amazon ML Summer Program 2025
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill in the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
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About the Program | Amazon ML Summer Program 2025
The Amazon Machine Learning Summer School 2025 is an intensive program designed to help students build strong foundations in Machine Learning. Now in its fifth edition, it offers live, instructor-led modules by Amazon’s top ML Scientists, covering core concepts and real-world applications. Open to engineering students graduating in 2026 or 2027 from recognized institutes in India, the program is free of cost and provides a unique chance to gain hands-on knowledge, industry insights, and direct interaction with experts—helping students prepare for a successful career in ML.
Conclusion | Amazon ML Summer Program 2025
The Amazon Machine Learning Summer School 2025 is a golden opportunity to upskill in Machine Learning with the guidance of world-class experts. Whether you aim to kickstart a career in ML or strengthen your foundations, this program is the perfect stepping stone.
Don’t wait – the application deadline is 31st July 2025!
See you in the next update, and best of luck with your application. 🚀
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Frequently Asked Questions | Amazon ML Summer Program 2025
1) Who is eligible to apply?
Ans: Engineering students enrolled in Bachelor’s, Master’s, or PhD degree programs from any recognized Indian institute and graduating in 2026 or 2027.
2) Are Amazon interns eligible?
Ans: Yes, past, current, and incoming Amazon interns are eligible to participate.
4) What will the program cover?
Ans: The modules will focus on essential Machine Learning topics, hands-on applications, and interactive Q&A sessions with Amazon Scientists.
5) What is the selection process?
Ans: Students will be selected based on their performance in the selection test conducted on 3rd August 2025.
Disclaimer | Amazon ML Summer Program 2025
The Recruitment Information Provided above is for Informational Purposes only. The above Recruitment Information has been taken from the official site of the Organization. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company. We don’t charge any fee for providing this job Information.