Grokking the Machine Learning Interview

Your proven path to success in Machine Learning Interviews – developed by FAANG engineers. Unlock ML loops at top companies with a System Design approach.

Intermediate

64 Lessons

15h

Updated 2 weeks ago

Your proven path to success in Machine Learning Interviews – developed by FAANG engineers. Unlock ML loops at top companies with a System Design approach.

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

This course includes

66 Quizzes

This course includes

66 Quizzes

Course Overview

ML interviews at top tech companies have shifted toward open-ended System Design problems. "Design a recommendation engine." "Build a search ranking system." "How would you architect an ad prediction pipeline?" These questions test whether you can think about machine learning at a systems level. However, in my experience, most candidates show up prepared for trivia when they should be prepared for architecture. This course focuses specifically on building that System Design muscle. You'll work through 6 re...Show More

TAKEAWAY SKILLS

Machine Learning

Prepare For Interview

Deep Learning

Recommendation System

What You'll Learn

Solve open-ended ML System Design problems using a structured, step-by-step methodology

Design 6 real-world systems: search ranking, feed optimization, recommendations, ad prediction, and more

Select appropriate metrics, model architectures, and training strategies for each system type

Apply practical ML techniques, including embeddings, transfer learning, and model debugging

Practice with 5 mock interviews simulating real FAANG ML loops

What You'll Learn

Solve open-ended ML System Design problems using a structured, step-by-step methodology

Course Content

Introduction

Get familiar with the essentials of ML interviews and key steps in designing ML systems.

How Does This Course Help in ML Interviews?

Setting up a Machine Learning System

Practical ML Techniques/Concepts

Walk through practical ML strategies, covering performance, data collection, experimentation, embeddings, transfer learning, and model debugging.

Performance and Capacity Considerations Training Data Collection Strategies Online Experimentation Embeddings Transfer Learning Model Debugging and Testing

Search Ranking

Work your way through designing search ranking systems, selecting metrics, and filtering results effectively.

Problem Statement Metrics Architectural Components Document Selection Feature Engineering Training Data Generation Ranking Filtering Results

Feed Based System

Build a foundation in designing and optimizing a Twitter feed system for user engagement.

Problem Statement Metrics Architectural Components Tweet Selection Feature Engineering Training Data Generation Ranking Diversity Online Experimentation

Recommendation System

Generate personalized recommendations by leveraging data on user interactions, watch history, and preferences.

Problem Statement Metrics Architectural Components Feature Engineering Candidate Generation Training Data Generation Ranking

Self-Driving Car: Image Segmentation

5 Lessons

See how it works to enhance self-driving cars with advanced image segmentation techniques.

Entity Linking System

5 Lessons

Build on named entity linking (NEL) with recognition, disambiguation, metrics, architecture, and modeling insights.

Ad Prediction System

7 Lessons

Learn how to use machine learning to optimize ad relevance and user engagement.

Fraud Detection System

5 Lessons

Identify unusual or suspicious transactions in financial data to prevent fraudulent activity.

10.

Hate Speech Detection

5 Lessons

Classify text content to detect and flag offensive or abusive language online.

11.

Dynamic Pricing Engine

5 Lessons

Adjust product prices in real time based on user context, market conditions, and observed demand.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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