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 testing and security by design. We explored the various methods to test ML solutions in order to secure them. For a comprehensive understanding and hands-on experience, implementation was done to load test our previously deployed ML model (from Chapter 7, Building Robust CI and CD Pipelines) to predict the weather. With this, you are ready to handle the diverse testing and security scenarios that will be channeled your way.

In the next chapter, we will delve into the secrets of deploying and maintaining robust ML services in production. This will enable you to deploy robust ML solutions in production. 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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