Important
This repository also hosts course materials and session summaries for the Amazon ML Summer School 2025.
Students are encouraged to read, learn, and practice the provided material.
At the bottom of each module summary, you will find practice tasks and code exercises.
Make sure to complete them in Jupyter Notebook to strengthen your understanding.
Full curriculum and module-wise content is available below.
The Amazon ML Summer School offers students a unique chance to learn machine learning from Amazon's expert Scientists. This comprehensive program covers essential ML topics and provides insights into real-world industry applications.
Designed for students graduating in 2026 or 2027 from any recognized institute in India.
- Learn core ML topics from industry experts
- Explore domains like: Deep Learning, AI, Computer Vision, Robotics, NLP, Speech Recognition, Operations Research, Data Science
- 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 upon successful completion
- Build a strong foundation for a future career in ML and prepare for Amazon interviews
Previous Year Link: Amazon ML Summer School 2024
Official Details: Amazon ML Summer School 2025
Apply Now: Application Form
The selection test consists of two parts:
- Part A: 20 MCQs on 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. Amazon strictly checks for plagiarism in coding submissions, so avoid sharing code or using online resources or assistance from others.
🕒 Total Duration: 75 minutes
- 📄 Programming Questions: Practice questions similar to those in the selection test
- 📄 Summer School 2023 Questions: Previous year questions (PYQs) for reference and practice
- 📃 [⭐NEW] Official Sample Test 2025: Sample test provided by Scaler. [Solved]
- Aug 9th 2025 – Module 1: Supervised Learning
- Aug 10th 2025 – Module 2: Deep Neural Networks
- Aug 16th 2025 – Module 3: Dimensionality Reduction
- Aug 17th 2025 – Module 4: Unsupervised Learning
- Aug 23rd 2025 – Module 5: Probabilistic Graphical Models (Yet to be updated)
- Aug 24th 2025 – Module 6: Sequential Learning (Yet to be updated)
- Aug 30th 2025 – Module 7: Causal Inference (Yet to be updated)
- Aug 31st 2025 – Module 8: Reinforcement Learning (Yet to be updated)
Note
Many online PDFs and PYQs are sourced from this repository, often without credit. That’s fine, use these resources to prepare thoroughly and excel in the assessment.
Important
⭐ If you find this repository helpful, please star it to help others discover it.
