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(GCP-PMLE) Serving and Scaling Models

This course will teach you to confidently serve and scale your machine learning models on Google Cloud.

Intermediate
2h

Created by Abhishek Kumar

Last Updated Feb 23, 2026

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  • Course

(GCP-PMLE) Serving and Scaling Models

This course will teach you to confidently serve and scale your machine learning models on Google Cloud.

Intermediate
2h

Created by Abhishek Kumar

Last Updated Feb 23, 2026

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This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

Moving models from experimentation to production is a critical bottleneck. In this course, (GCP-PMLE) Serving and Scaling Models, you’ll gain the ability to serve and scale machine learning models on Google Cloud. First, you’ll explore the fundamentals of model serving. Next, you’ll discover how to manage model lifecycles. Finally, you’ll learn how to master scaling and infrastructure, along with optimization and security. When you’re finished with this course, you’ll have the skills and knowledge of serving and scaling models needed to deploy production-ready ML systems.

(GCP-PMLE) Serving and Scaling Models
Intermediate
2h
Table of contents

About the author
Abhishek Kumar - Pluralsight course - (GCP-PMLE) Serving and Scaling Models
Abhishek Kumar
12 courses 4.4 author rating 1641 ratings

Abhishek Kumar is a data science consultant, author, and Google Developers Expert (GDE) in machine learning. He holds a master’s degree from the University of California, Berkeley, and has been featured in the "Top 40 under 40 Data Scientist" list.

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