Machine Learning System Design

Machine Learning System Design

This course helps aspiring candidates design machine learning systems at scale, with practice problems, for grokking ML system design interviews.

Intermediate

21 Lessons

1h 30min

Certificate of Completion

This course helps aspiring candidates design machine learning systems at scale, with practice problems, for grokking ML system design interviews.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

2 Assessments
6 Quizzes

This course includes

2 Assessments
6 Quizzes

Course Overview

Machine Learning System Design is an important component of any ML interview. The ability to address problems, identify requirements, and discuss tradeoffs helps you stand out among hundreds of other candidates. Readers of this course able to get offers from Snapchat, Facebook, Coupang, Stitchfix and LinkedIn. This course will help you understand the state of the practice on model techniques along with best practices in applying ML models in production at scale. Once you finished the course you can learn ...Show More

TAKEAWAY SKILLS

Machine Learning

System Design

What You'll Learn

Improve your Machine Learning System Design skills. Apply the best techniques in order to structure and drive your interview.

What You'll Learn

Improve your Machine Learning System Design skills. Apply the best techniques in order to structure and drive your interview.

Show more

Course Content

1.

Machine Learning Primer

In this chapter, you will learn ML system design, feature selection, training pipelines, scaling inference, and evaluating metrics used in tech companies.
2.

Video Recommendation

In this chapter, you will learn how to solve video recommendation problems by understanding metrics, candidate generation, ranking models, and system design.
3.

Feed Ranking

This chapter explores designing a personalized feed ranking model, focusing on user engagement, feature engineering, model selection, and scalable architecture.
4.

Ad Click Prediction

In this chapter, you will learn to build an Ad click prediction system, define metrics, explore model architecture, and design an Ads recommendation system.
5.

Rental Search Ranking

In this chapter, you will solve Airbnb rental search ranking problems, design metrics, create models, and explore system design and scaling.
6.

Estimate Food Delivery Time

3 Lessons

In this chapter, you will learn how to estimate food delivery time by understanding metrics, building a model, and designing a scalable system.
7.

Conclusion

1 Lesson

In this chapter, you will review the key steps in designing Machine Learning systems and explore the next steps, including an overview of the course assessment.

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

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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