Crack the 2026 AI Interview: Graph RAG, System Design & Scaling Laws

Ready to move beyond basic definitions and tackle the questions that actually get you hired in 2026?

In this video, we continue our deep dive into the top 20 topics for Senior AI and Data Science interviews. We are moving past the "tutorial hell" basics to focus on the engineering reality of modern AI—covering everything from AI Safety and Guardrails to Cloud-Native Inference.


If you are an "Interview-Ready" aspirant or a professional looking to pivot, this session bridges the gap between theoretical knowledge and production-grade system design. We strip away the intimidation of complex architectures like HNSW and IVF in Vector Databases and explain exactly why concepts like Chinchilla Optimality matter for budget planning in real-world projects.

I have also uploaded the full interview prep document to Git, which you can run locally to study these topics in depth.

Save this for later — you’ll need it for your next technical round.
Link to part 1 :    • 20 Critical AI Concepts for Your Next Inte...  

Welcome! I'm Aman, a Data Scientist & AI Mentor.
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