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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Learn Machine Learning with Amazon ML Summer School Program 2026. Access session summaries, previous year MCQs, programming questions, and official test material. Practice module-wise coding tasks and build a strong foundation for interviews and real-world applications.
| Date | Stars |
|---|---|
| 2026-07-31 | 606 |
| 2026-08-03 | 607 |
| 2026-08-06 | 607 |
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<div align="center"> <img src="notify.svg" width="800" alt="Notification Banner"/> </div> <br/> <div align="center"> <img src="https://github.com/user-attachments/assets/553bba2c-e5b1-4da9-9490-3b657c6e64f8" alt="Amazon ML Summer School Registration" width="700"/> </div> <div align="center"> # Amazon ML Summer School 2026 ### 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. </div> <div align="center"> <table> <tr> <td align="center"> <a href="https://unstop.com/"> <img src="https://d8it4huxumps7.cloudfront.net/uploads/images/unstop/svg/unstop-logo.svg" alt="Unstop Logo" width="170"/> </a> </td> <td align="center"> <h2>|</h2> </td> <td align="center"> <img src="https://upload.wikimedia.org/wikipedia/commons/a/a9/Amazon_logo.svg" alt="Amazon Logo" width="170"/> </td> </tr> </table> </div> <div align="center"> ### Powered by Unstop × Amazon </div> > [!IMPORTANT] > This repository also hosts **course materials, assessment resources, practice content, and complete session summaries** for the Amazon ML Summer School 2025. > Students are encouraged to **read, learn, revise, and practice** using the provided material. > At the bottom of each module summary, you will find **practice tasks and coding exercises** to strengthen your understanding. > Apart from Amazon ML Summer School resources, this repository also contains an **ocean of Machine Learning resources** for deeper learning. > Explore the **[More ML Resources](https://github.com/cu-sanjay/Amazon-ML-Summer-School-2025/blob/main/More%20ML%20Resources/README.md)** section for additional content, notes, roadmaps, and learning material. > Full curriculum and module-wise content are available below. ## About the Program The Amazon ML Summer School offers students a unique opportunity to learn Machine Learning from Amazon’s expert Scientists and industry leaders. This comprehensive program covers essential ML concepts while providing insights into real-world applications used in modern AI systems. Designed for students graduating in **2027 or 2028** from any recognized institute in India. ### Key Highlights - Learn **core ML concepts** from industry experts - Explore domains such as **Deep Learning, AI, NLP, Robotics, Computer Vision, Speech Recognition, Data Science, and Operations Research** - Interact directly with **Amazon Scientists** - Internship opportunities with stipends up to **₹1.5 Lakh per month** - Pre-Placement Offers (PPOs) up to **₹51 LPA** at Amazon and other top companies - Build a strong foundation for **ML interviews, research, and future careers in AI** ### Official Links - **Previous Year Program 2024**: [Amazon ML Summer School 2024](https://amazonmlsummerschoolindia.splashthat.com/) - **Previous Year Program 2025**: [Amazon ML Summer School 2025](https://www.scaler.com/partnerships/amazon) - **Official Program Details**: [Amazon ML Summer School 2026](https://lnk.ink/MLSS2026) - **Application Form**: [Apply Here](https://unstop.com/hackathons/crp-amazon-ml-summer-school-2026-amazon-1688859?lb=NvCO4PA&utm_medium=Share&utm_source=online_coding_challenge&utm_campaign=Sanjaychoudhary) ## Selection Test Format The selection test consists of two sections: - **Part A**: 20 MCQs covering Machine Learning basics, Probability, Statistics, and Linear Algebra - **Part B**: 2 Programming Questions > [!TIP] > Both sections have separate cutoffs, so perform your best in each section. > Amazon strictly checks for plagiarism in coding submissions. Avoid sharing code or using unfair means during the assessment. 🕒 **Total Duration:** 60 Minutes # Contents of This Repository * 📄 **[Programming Questions (2023)](Programming.md)**: Coding questions asked during the 2023 selection assessment. * 📄 **[Summer School 2023 MCQs](SummerSchool2023.md)**: Multiple-choice q
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matched fp:c7cff980afbe0767, llm:Repository description and README state: 'Learn Machine Learning with Amazon ML Summer School Program 2026', session summaries, MCQs, programming questions, practice module-wise coding tasks, course materials, assessment resources, and additional ML resources.
matched fp:c7cff980afbe0767, llm:Repository description and README state: 'Learn Machine Learning with Amazon ML Summer School Program 2026', session summaries, MCQs, programming questions, practice module-wise coding tasks, course materials, assessment resources, and additional ML resources.