You're reading from Engineering MLOps

Product typeBook

Published inApr 2021

PublisherPackt

ISBN-139781800562882

Edition1st Edition

Tools

Azure Functions

Concepts

Machine Learning

Author (1)

Emmanuel Raj

Summary

In this chapter, we have learned the key principles of deploying ML models in production. We explored the various deployment methods and targets and their needs. For a comprehensive understanding and hands-on experience, we implemented the deployment to learn how ML models are deployed on a diverse range of deployment targets such as virtual machines, containers, and in an auto-scaling cluster. With this, you are ready to handle any type of deployment challenge that comes your way.

In the next chapter, we will delve into the secrets to building, deploying, and maintaining robust ML services enabled by CI and CD. This will enable the potential of MLOps! Let's delve into it.

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Engineering MLOps

Published in: Apr 2021Publisher: PacktISBN-13: 9781800562882

Author (1)

Emmanuel Raj

Emmanuel Raj is a Finland-based Senior Machine Learning Engineer with 6+ years of industry experience. He is also a Machine Learning Engineer at TietoEvry and a Member of the European AI Alliance at the European Commission. He is passionate about democratizing AI and bringing research and academia to industry. He holds a Master of Engineering degree in Big Data Analytics from Arcada University of Applied Sciences. He has a keen interest in R&D in technologies such as Edge AI, Blockchain, NLP, MLOps and Robotics. He believes "the best way to learn is to teach", he is passionate about sharing and learning new technologies with others.
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