Amazon ML Summer School 2025 is now live, offering a rare opportunity for engineering students across India to get trained by top Amazon scientists in machine learning (ML) and its real-world applications. The programme, currently in its 5th edition, is completely free and highly competitive.
If you’re aiming to break into the world of AI and ML, this is one of the most recognised summer programmes to consider.
From eligibility criteria and registration process to selection tips and syllabus, this article covers all key information to help you apply smartly and improve your chances of selection.
Whether you’ve already started the application or are just hearing about the Amazon Machine Learning Summer School 2025, keep reading for a full breakdown, including deadlines, test format, syllabus, and expert preparation strategies.
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What is Amazon ML Summer School 2025?
The Amazon ML Summer School 2025 is a flagship academic programme run by Amazon’s Machine Learning (ML) teams in India. It gives engineering students a chance to learn ML concepts directly from senior Amazon scientists who work on real-world problems at scale.
This initiative was launched to bridge the gap between classroom theory and industrial applications of ML. Through expert-led sessions, case studies, and assignments, selected students are trained in key areas like supervised learning, deep neural networks, probabilistic graphical models, and more.
Amazon launched the ML Summer School to foster future ML talent in India, and 2025 marks the programme’s fifth successful edition. It’s free of cost and conducted entirely online—making it accessible to students across the country.
Participants are shortlisted through an online aptitude test. Once selected, they attend interactive sessions conducted by Amazon’s Applied Scientists. The curriculum is hands-on, covering theory, algorithms, and Amazon’s real-life ML case studies.
Whether you’re targeting a future in data science, research, or ML engineering, this programme is a strong credential to have on your resume, and a step closer to internships or full-time roles at top companies.
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Eligibility Criteria
The Amazon ML Summer School 2025 is open to students with strong academic backgrounds and a genuine interest in machine learning. Here’s a quick overview of the eligibility requirements:
| Criteria | Details |
|---|---|
| Eligible Courses | B.E./B.Tech, M.E./M.Tech, or PhD |
| Specialisations | Computer Science, AI/ML, Data Science, or related fields |
| Graduation Year | 2026 or 2027 |
| Academic Institution | Must be currently enrolled in a recognised Indian university or college |
| Other Requirements | Strong interest in ML concepts and applied mathematics |
| Restrictions | No restriction for Amazon interns or placement applicants |
Note: Selection is purely merit-based. Only students who qualify the entrance test will be considered for participation.
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Registration & Important Dates
The registration window for Amazon ML Summer School 2025 is currently open. Applicants must complete the online form and prepare for the entrance test before the deadline. All official updates and timelines are managed through Amazon’s authorised education partner, Scaler.
| Event | Date / Deadline |
|---|---|
| Registration Start Date | July 17, 2025 |
| Last Date to Register | July 31, 2025 |
| Assessment Test Date | August 11, 2025 |
| Program Start Date | August 18, 2025 |
| Registration Link | Official Application link for Amazon ML Summer School Program |
Pro Tip: Make sure to register early. Late registrations will not be accepted, and the test link will be sent only to shortlisted candidates.
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Internship Duration & Stipend
Participants of the Amazon ML Summer School 2025 will be part of a structured learning program focused on foundational machine learning concepts, designed and delivered by Amazon’s ML scientists.
The duration and format of the program is clearly defined to suit the academic calendar and maximise learning outcomes for students preparing for ML-focused careers.
| Parameter | Details |
|---|---|
| Program Duration | 3 weekends (6 days total), to be held in August 2025 |
| Session Format | Live online sessions conducted over Zoom |
| Total Teaching Hours | ~12 hours (2 hours per session) |
| Stipend | No stipend is provided; the program is completely free of cost |
While this is an unpaid internship, the exposure to Amazon’s ML experts and curated academic content offers tremendous long-term career value — especially for those targeting roles in data science, ML engineering, or AI research.
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How to Apply Online
The application for Amazon ML Summer School 2025 is open through a partnership with Scaler Academy. Registration involves a simple online form followed by a screening test designed to assess your mathematical and programming foundation.
| Step | Details |
|---|---|
| 1. Visit Registration Portal | Go to the Amazon ML Summer School application page. |
| 2. Fill Application Form | Provide details such as name, email, college, year of study, and resume. |
| 3. Appear for Test | The screening test evaluates linear algebra, probability, statistics, and Python basics. |
| 4. Wait for Results | Selected students are notified via email with session details. |
The last date to apply is July 31, 2025 (9:30 AM IST). Ensure that all details are accurately filled in and test preparation is started early.
Pro Tip: Brush up on core ML topics and basic Python. Previous year questions show a strong tilt towards mathematical intuition and algorithmic thinking — not just coding syntax.
Test Pattern and Syllabus
The entrance test for Amazon ML Summer School 2025 is designed to evaluate your fundamentals in computer science and problem-solving. The assessment is objective in nature, hosted online, and accessible only to shortlisted candidates. It consists of two key sections:
| Section | Topics Covered | No. of Questions | Duration |
|---|---|---|---|
| Mathematics & ML Aptitude | Linear Algebra, Probability, Statistics, ML Basics | 8 | 60 minutes |
| Programming Fundamentals | Data Structures, Algorithms, Complexity | 12 |
All questions are multiple-choice (MCQs). There is no negative marking, but you should answer carefully as the test is competitive and time-bound.
Pro Tip: Revisit your DSA basics, especially topics like arrays, recursion, time complexity, and common algorithm patterns. For the ML section, focus on intuition—not just formulas.
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Selection Process and Tips to Crack
The Amazon ML Summer School 2025 follows a rigorous yet fair selection process. The entrance test serves as the sole criteria for shortlisting candidates. Here’s how the process works and how to give yourself the best shot at cracking it:
Selection Process Overview
| Stage | Details |
|---|---|
| Online Registration | Register through the official portal before July 31, 2025. |
| Entrance Test | MCQ-based test assessing maths and programming fundamentals. |
| Shortlisting | Top-performing candidates are invited for the 4-week learning programme. |
Tips to Crack the Entrance Test
- Revise core subjects: Focus on Linear Algebra, Probability, and Python/Numpy basics.
- Practise MCQs: Solve past aptitude and programming questions to improve speed and accuracy.
- Use Amazon-provided resources: The official site may offer sample questions or reading materials.
- Focus on fundamentals: Instead of memorisation, aim to strengthen your core concepts.
Pro Tip: Time management plays a big role during the test. Practice solving 20–30 MCQs within 60 minutes to simulate the pressure.
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