Machine learning interviews are brutal—and most engineers prep for them the wrong way. This course flips that on its head. Here’s what's covered in this lesson:
🧭 Learn how to prep for ML interviews with structure instead of chaos
🔍 Understand key differences between ML roles (ML engineer, infra, AI engineer) so you don’t waste time on irrelevant material
🧱 See what great performance looks like in each interview type: coding, modeling, system design, and behavioral
🚀 Get actionable prep tactics tailored for both current ML pros and SWE-to-ML switchers
🎯 Understand how expectations shift based on seniority—so you’re not prepping like a junior when you’re going for a senior role
If you want to learn even more from Yayun: