AIMLInterviews is a GitHub guide for AI/ML interview prep with modules on coding, ML fundamentals, system design, and behavioral topics. It has activity through 2026 and focuses on FAANG-style interviews.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
This repository aims to serve as a guide to prepare for AI and ML technical interviews for roles at large tech companies, with modules covering General Coding (DSA), ML Coding, ML Fundamentals, ML/GenAI/LLM System Design, Agentic AI Systems, Behavioral Interviews, and GenAI Resources.
How it works
The README lists chapters with links to markdown documents detailing each interview area:
- Chapter 1: General Coding - DSA (src/lc-coding.md)
- Chapter 2: ML Coding (src/MLC/ml-coding.md)
- Chapter 3: ML Fundamentals/Breadth (src/ml-fundamental.md)
- Chapter 4: ML/GenAI/LLM System Design (src/MLSD/ml-system-design.md)
- Chapter 5: Agentic AI Systems (external link)
- Chapter 6: Behavioral Interviews (src/behavior.md)
- Resources: GenAI Learning Resources (src/genai-resources.md)
The narrative notes indicate updates reflecting coaching services and content expansion through 2026.
Getting started
The README provides navigation through chapters and a recap of the purpose and audience. There is a link to the coaching service at https://aimlinterviews.io and a note that the repository Content was updated for 2026. Specific installation or runtime steps are not listed in the provided excerpt.
Recent releases
RELEASES (latest 0): - none
Traction
Stars: 8688 Forks: 1509 Open issues: 11
Behind the repo
The repository appears to be tied to the AIMLInterviews branding and mentions updates for 2026; no explicit company or startup link is provided in the excerpt beyond the coaching site URL.
Caveats
License: MIT Language: Jupyter Notebook Created: 2021-01-31 Last push: 2026-07-30