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<divalign="center">
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<imgsrc="https://github.com/user-attachments/assets/28775f07-c4e8-408a-939f-7010ebfc56e4"alt="Amazon ML Summer School Banner"width="700"/>
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<imgsrc="https://github.com/user-attachments/assets/553bba2c-e5b1-4da9-9490-3b657c6e64f8"alt="Amazon ML Summer School Registration"width="700"/>
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</div>
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# Amazon ML Summer School 2025
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# Amazon ML Summer School 2026
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### An exciting opportunity for students graduating in 2026 or 2027 to learn Machine Learning directly from Amazon Scientists, connect with industry experts, and unlock internship and interview opportunities.
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### An exciting opportunity for students graduating in 2027 or 2028 to learn Machine Learning directly from Amazon Scientists, connect with industry experts, and unlock internship and interview opportunities.
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> Both sections have separate cutoffs, so perform your best in each section.
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> Amazon strictly checks for plagiarism in coding submissions. Avoid sharing code or using unfair means during the assessment.
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🕒 **Total Duration:**75 Minutes
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🕒 **Total Duration:**60 Minutes
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# Contents of This Repository
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- 📄 **[Programming Questions](Programming.md)** — Practice questions similar to the actual selection test
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- 📄 **[Summer School 2023 Questions](SummerSchool2023.md)** — Previous year memory-based questions for revision
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- 📃 **[Official Sample Test 2025](Amazon_ML_Summer_School_Sample_Test.pdf)** — Official sample assessment shared by Scaler *(Solved)*
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- 📘 **[Amazon ML Summer School Assessment 2025](Amazon%20ML%20Summer%20School%20Assessment%202025.pdf)** — Real memory-based assessment questions collected from participants
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- 📘 **[Amazon ML Summer School Assessment 2025](AMSS_2025_Exam_Questions.pdf)** — Real memory-based assessment questions collected from participants
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- 📚 **[More ML Resources](https://github.com/cu-sanjay/Amazon-ML-Summer-School-2025/blob/main/More%20ML%20Resources/README.md)** — Additional ML resources, roadmaps, notes, and learning material
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# Curriculum – AMSS 2025
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