Nobody tells you this about AI/ML interviews

Nobody tells you this about AI/ML interviews
Your Kaggle rank doesn't matter.
Your GitHub stars don't matter.
Your online courses don't matter.
Your certificates don't matter.

What matters is whether you can design systems under pressure,
on a whiteboard, in 45 minutes.

Here are are some must-watch YouTube playlists to prepare for them:

1. System Design Interview Prep
↳ 36+ lessons with real interview examples
↳ Design YouTube, Spotify, Twitter from scratch
↳ API design, scalability, database choices
Link:

2. ML Interview Prep
↳ ML system design frameworks
↳ Built with engineers from Google, Waymo, Meta
↳ Recommendation systems, ranking, embeddings
Link: https://www.youtube.com/playlist

3. Data Science Prep
↳ Case study walkthroughs
↳ A/B testing, metrics, product analytics
↳ Real mock interviews with FAANG data scientists
Link:

4. SQL Interview Prep
↳ PostgreSQL and SQLite practice
↳ Query optimization techniques
↳ Real interview questions from top companies
Link:

What makes them different:
→ Mock interviews with ex-FAANG engineers
→ Not generic lectures but interview-specific drills
→ Questions actually asked at Google, Meta, Amazon

There are many more of them!
I would definitely recommend watching them.

Bookmark it before your next interview cycle!

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