Machine Learning System Design - AI-Powered Learning for Developers

Gain insights into ML system design, state-of-the-art techniques, and best practices for scalable production. Learn from top researchers and stand out in your next ML interview.

Intermediate

21 Lessons

Updated 1 week ago

Gain insights into ML system design, state-of-the-art techniques, and best practices for scalable production. Learn from top researchers and stand out in your next ML interview.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

2 Assessments

6 Quizzes

This course includes

2 Assessments

6 Quizzes

Course Overview

ML System Design interviews reward candidates who can walk through the full lifecycle of a production ML system, from problem framing and feature engineering through training, inference, and metrics evaluation. This course covers that lifecycle through five real-world systems that reflect the kinds of problems asked at companies like Meta, Snapchat, LinkedIn, and Airbnb. You'll start with a primer on core ML system design concepts: feature selection and engineering, training pipelines, inference architectu...Show More

TAKEAWAY SKILLS

Machine Learning

System Design

Model Deployment

Recommendation System

What You'll Learn

Design end-to-end ML systems for production environments: feature engineering, training pipelines, inference, and metrics evaluation

Build a video recommendation system with candidate generation and ranking models

Optimize feed ranking with personalized models for user engagement

Design ad click prediction models and recommender system architectures

Architect Airbnb-style rental search ranking with booking prediction models

Estimate food delivery times using scalable ML system design principles

What You'll Learn

Design end-to-end ML systems for production environments: feature engineering, training pipelines, inference, and metrics evaluation

Course Content

Machine Learning Primer

Get familiar with core machine learning principles, from feature engineering to model deployment.

Introduction

Feature Selection and Feature Engineering

Training Pipeline Inference Metrics Evaluation

Video Recommendation

Discover the logic behind developing and optimizing scalable video recommendation systems for enhanced user engagement.

Problem Statement and Metrics

Candidate Generation and Ranking Model

Video Recommendation System Design

Feed Ranking

Work your way through optimizing feed ranking with personalized models for enhanced user engagement.

Problem Statement and Metrics Feed Ranking Model Feed Ranking System Design

Ad Click Prediction

Enhance your skills in designing and optimizing ad click prediction models for better ad performance.

Problem Statement and Metrics Ad Click Prediction Model Ads Recommendation System Design

Rental Search Ranking

Take a closer look at designing Airbnb's rental search ranking system with a booking prediction model and performance metrics.

Problem Statement and Metrics Booking Model Rental Search Ranking System Design

Estimate Food Delivery Time

3 Lessons

See how it works to design an accurate, scalable food delivery time estimation system.

Conclusion

1 Lesson

Build on comprehensive insights into designing practical Machine Learning systems for diverse applications.

Machine Learning Knowledge

Assessment

Machine Learning Model Diagnosis

Assessment

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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