Software Engineer → Machine Learning Engineer: Start Here.

A Practical ML Interview Course for Software Engineers

Hi everyone 👋

Over the past few months, many of you have asked me how to prepare for ML interviews, especially if you’re coming from a software engineering background. I finally took the time to record a clear, structured video series that walks through the core concepts, examples, and frameworks I teach in my 1:1 coaching.

If you’re navigating ML interviews in 2026 — or planning a transition into an ML role — these lessons will help you understand what interviewers actually look for and how to show depth confidently.

What’s inside the course

I kept the course focused and practical. It covers eight modules:

• Essential ML concepts

• Practical notebook modeling

• Coding fundamentals for ML engineers

• ML algorithm implementation

• ML system design (framework + examples)

• Project deep dive and behavioral structuring

• Role-specific preparation strategies

• Final notes for creating a strong study plan

Below are the first few lessons — feel free to jump in:

Module 1 — Welcome & Course Overview

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Module 2 — Essential ML Concepts & CLEAR Framework

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Module 3 — Practical ML Coding & Notebook Round

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