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You're reading from  Data Engineering with AWS - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781804614426
Edition2nd Edition
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Author (1)
Gareth Eagar
Gareth Eagar
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Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
Read more about Gareth Eagar

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Exploring AWS services for ML

AWS has three broad categories of ML and AI services, as illustrated in the following diagram (note that only a small sample of AI and ML services are included in this diagram, due to space constraints):

Figure 13.1: Amazon ML/AI stack

In the preceding diagram, we can see a subset of the services that AWS offers in each category – Artificial Intelligence Services, Machine Learning Services, and Machine Learning Frameworks and Infrastructure.

At the ML framework and infrastructure level, AWS provides Amazon Machine Images (AMIs) and prebuilt Docker containers that have popular deep learning ML frameworks pre-installed and optimized for the AWS environment. While these are useful for advanced use cases that require custom ML environments, these use cases are beyond the scope of this book.

For more information on these ML frameworks, refer to the AWS documentation on AWS Deep Learning AMIs (https://aws.amazon.com/machine...

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Data Engineering with AWS - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781804614426

Author (1)

author image
Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
Read more about Gareth Eagar