{"id":48423,"date":"2025-08-13T17:47:34","date_gmt":"2025-08-13T12:17:34","guid":{"rendered":"https:\/\/www.foundit.in\/career-advice\/?p=48423"},"modified":"2025-08-19T16:14:19","modified_gmt":"2025-08-19T10:44:19","slug":"amazon-ml-summer-school-program-apply","status":"publish","type":"post","link":"https:\/\/www.foundit.in\/career-advice\/amazon-ml-summer-school-program-apply\/","title":{"rendered":"Amazon ML Summer School 2025: How to Apply, Eligibility, Stipend & Test Tips"},"content":{"rendered":"\n

Amazon ML Summer School 2025<\/strong> 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.<\/p>\n\n\n\n

If you’re aiming to break into the world of AI and ML, this is one of the most recognised summer programmes to consider. <\/p>\n\n\n\n

From eligibility criteria<\/strong> and registration process<\/strong> to selection tips<\/strong> and syllabus, this article covers all key information to help you apply smartly and improve your chances of selection.<\/p>\n\n\n\n

Whether you\u2019ve already started the application or are just hearing about the Amazon Machine Learning Summer School 2025<\/strong>, keep reading for a full breakdown, including deadlines, test format, syllabus, and expert preparation strategies.<\/p>\n\n\n\n

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\n \ud83d\udd3d Table of Contents<\/strong><\/summary>\n
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  1. What is Amazon ML Summer School 2025?<\/a><\/strong><\/li>\n
  2. Eligibility Criteria<\/a><\/strong><\/li>\n
  3. Registration & Important Dates<\/a><\/strong><\/li>\n
  4. Internship Duration & Stipend<\/a><\/strong><\/li>\n
  5. How to Apply Online<\/a><\/strong><\/li>\n
  6. Test Pattern and Syllabus<\/a><\/strong><\/li>\n
  7. Selection Process and Tips to Crack<\/a><\/strong><\/li>\n
  8. FAQs on Amazon ML Summer School 2025<\/a><\/strong><\/li>\n <\/ol>\n <\/details>\n<\/div>\n\n\n\n
    <\/div>\n
    \nApply for Fresher ML Jobs<\/a>\n<\/div>\n\n\n

    Related: Infosys Springboard Virtual Internship 2025 \u2013 Full Details<\/a><\/strong><\/p>\n\n\n

    What is Amazon ML Summer School 2025?<\/h2>\n\n\n\n

    The Amazon ML Summer School 2025<\/strong> is a flagship academic programme run by Amazon\u2019s 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.<\/p>\n\n\n\n

    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.<\/p>\n\n\n\n

    Amazon launched the ML Summer School to foster future ML talent in India, and 2025 marks the programme\u2019s fifth successful edition. It\u2019s free of cost and conducted entirely online\u2014making it accessible to students across the country.<\/p>\n\n\n\n

    Participants are shortlisted through an online aptitude test<\/strong>. Once selected, they attend interactive sessions conducted by Amazon\u2019s Applied Scientists. The curriculum is hands-on, covering theory, algorithms, and Amazon\u2019s real-life ML case studies.<\/p>\n\n\n\n

    Whether you\u2019re 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.<\/p>\n\n\n\n

    Related: Amazon Data Science Internship 2025<\/a><\/strong><\/p>\n\n\n\n

    Eligibility Criteria<\/h2>\n\n\n\n

    The Amazon ML Summer School 2025<\/strong> is open to students with strong academic backgrounds and a genuine interest in machine learning. Here’s a quick overview of the eligibility requirements:<\/p>\n\n\n\n

    Criteria<\/strong><\/th>Details<\/strong><\/th><\/tr><\/thead>
    Eligible Courses<\/td>B.E.\/B.Tech, M.E.\/M.Tech, or PhD<\/td><\/tr>
    Specialisations<\/td>Computer Science, AI\/ML, Data Science, or related fields<\/td><\/tr>
    Graduation Year<\/td>2026 or 2027<\/td><\/tr>
    Academic Institution<\/td>Must be currently enrolled in a recognised Indian university or college<\/td><\/tr>
    Other Requirements<\/td>Strong interest in ML concepts and applied mathematics<\/td><\/tr>
    Restrictions<\/td>No restriction for Amazon interns or placement applicants<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Note:<\/strong> Selection is purely merit-based. Only students who qualify the entrance test will be considered for participation.<\/p>\n\n\n\n

    Related: Microsoft Software Engineering Internship 2025<\/a><\/strong><\/p>\n\n\n\n

    Registration & Important Dates<\/h2>\n\n\n\n

    The registration window for Amazon ML Summer School 2025 <\/strong>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.<\/p>\n\n\n\n

    Event<\/strong><\/th>Date \/ Deadline<\/strong><\/th><\/tr><\/thead>
    Registration Start Date<\/td>July 17, 2025<\/td><\/tr>
    Last Date to Register<\/td>July 31, 2025<\/td><\/tr>
    Assessment Test Date<\/td>August 11, 2025<\/td><\/tr>
    Program Start Date<\/td>August 18, 2025<\/td><\/tr>
    Registration Link<\/td>Official Application link for Amazon ML Summer School Program<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Pro Tip:<\/strong> Make sure to register early. Late registrations will not be accepted, and the test link will be sent only to shortlisted candidates.<\/p>\n\n\n\n

    Related: Google Software Engineering Internship Summer 2026<\/a><\/strong><\/p>\n\n\n\n

    Internship Duration & Stipend<\/h2>\n\n\n\n

    Participants of the Amazon ML Summer School 2025 <\/strong>will be part of a structured learning program focused on foundational machine learning concepts, designed and delivered by Amazon\u2019s ML scientists.<\/p>\n\n\n\n

    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.<\/p>\n\n\n\n

    Parameter<\/th>Details<\/th><\/tr><\/thead>
    Program Duration<\/strong><\/td>3 weekends (6 days total), to be held in August 2025<\/td><\/tr>
    Session Format<\/strong><\/td>Live online sessions conducted over Zoom<\/td><\/tr>
    Total Teaching Hours<\/strong><\/td>~12 hours (2 hours per session)<\/td><\/tr>
    Stipend<\/strong><\/td>No stipend is provided<\/strong>; the program is completely free of cost<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    While this is an unpaid internship, the exposure to Amazon\u2019s ML experts and curated academic content offers tremendous long-term career value \u2014 especially for those targeting roles in data science, ML engineering, or AI research.<\/p>\n\n\n\n

    Read Also: How to Get a Cognizant Internship: Eligibility, Process, Skills<\/a><\/strong> <\/strong><\/p>\n\n\n\n

    How to Apply Online<\/h2>\n\n\n\n

    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.<\/p>\n\n\n\n

    Step<\/th>Details<\/th><\/tr><\/thead>
    1. Visit Registration Portal<\/strong><\/td>Go to the Amazon ML Summer School<\/strong> application page.<\/td><\/tr>
    2. Fill Application Form<\/strong><\/td>Provide details such as name, email, college, year of study, and resume.<\/td><\/tr>
    3. Appear for Test<\/strong><\/td>The screening test evaluates linear algebra, probability, statistics, and Python basics.<\/td><\/tr>
    4. Wait for Results<\/strong><\/td>Selected students are notified via email with session details.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    The last date to apply is July 31, 2025 (9:30 AM IST)<\/strong>. Ensure that all details are accurately filled in and test preparation is started early.<\/p>\n\n\n\n

    Pro Tip:<\/strong> Brush up on core ML topics and basic Python. Previous year questions show a strong tilt towards mathematical intuition and algorithmic thinking \u2014 not just coding syntax.<\/p><\/p>\n\n\n\n

    Test Pattern and Syllabus<\/h2>\n\n\n\n

    The entrance test for Amazon ML Summer School 2025<\/strong> 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:<\/p>\n\n\n\n

    Section<\/strong><\/th>Topics Covered<\/strong><\/th>No. of Questions<\/strong><\/th>Duration<\/strong><\/th><\/tr><\/thead>
    Mathematics & ML Aptitude<\/td>Linear Algebra, Probability, Statistics, ML Basics<\/td>8<\/td>60 minutes<\/td><\/tr>
    Programming Fundamentals<\/td>Data Structures, Algorithms, Complexity<\/td>12<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    All questions are multiple-choice (MCQs). There is no negative marking, but you should answer carefully as the test is competitive and time-bound.<\/p>\n\n\n\n

    Pro Tip:<\/strong> Revisit your DSA basics<\/strong><\/a>, especially topics like arrays, recursion, time complexity, and common algorithm patterns. For the ML section, focus on intuition\u2014not just formulas.<\/p>\n\n\n\n

    Related: Highest Paying Fresher Jobs in India: Roles & Salaries <\/a><\/strong><\/p>\n\n\n\n

    Selection Process and Tips to Crack<\/h2>\n\n\n\n

    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:<\/p>\n\n\n\n

    Selection Process Overview<\/strong><\/h3>\n\n\n\n
    \n\n\n\n
    Stage<\/th>Details<\/th><\/tr>\n<\/thead>\n
    Online Registration<\/td>Register through the official portal before July 31, 2025.<\/td><\/tr>\n
    Entrance Test<\/td>MCQ-based test assessing maths and programming fundamentals.<\/td><\/tr>\n
    Shortlisting<\/td>Top-performing candidates are invited for the 4-week learning programme.<\/td><\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n\n

    Tips to Crack the Entrance Test<\/strong><\/h3>\n\n\n\n