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 section for additional content, notes, roadmaps, and learning material.
Full curriculum and module-wise content are available below.
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.
- 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
- Previous Year Program 2024: Amazon ML Summer School 2024
- Previous Year Program 2025: Amazon ML Summer School 2025
- Official Program Details: Amazon ML Summer School 2026
- Application Form: Apply Here
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
- 📄 Programming Questions — Practice questions similar to the actual selection test
- 📄 Summer School 2023 Questions — Previous year memory-based questions for revision
- 📃 Official Sample Test 2025 — Official sample assessment shared by Scaler (Solved)
- 📘 Amazon ML Summer School Assessment 2025 — Real memory-based assessment questions collected from participants
- 📚 More ML Resources — Additional ML resources, roadmaps, notes, and learning material
- 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
- Aug 24th 2025 – Module 6: Sequential Learning
- Aug 30th 2025 – Module 7: Causal Inference
- Aug 31st 2025 – Module 8: Reinforcement Learning
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Note
Many online PDFs, notes, and PYQ collections available across different platforms are sourced from this repository, often without credit.
That is completely fine. The main goal is to help students prepare better, learn deeply, and succeed in the assessment and interviews.
Important
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