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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide

You're reading from   AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide The ultimate guide to passing the MLS-C01 exam on your first attempt

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835082201
Length 342 pages
Edition 2nd Edition
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Authors (2):
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Somanath Nanda Somanath Nanda
Author Profile Icon Somanath Nanda
Somanath Nanda
Weslley Moura Weslley Moura
Author Profile Icon Weslley Moura
Weslley Moura
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Toc

Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Machine Learning Fundamentals FREE CHAPTER 2. Chapter 2: AWS Services for Data Storage 3. Chapter 3: AWS Services for Data Migration and Processing 4. Chapter 4: Data Preparation and Transformation 5. Chapter 5: Data Understanding and Visualization 6. Chapter 6: Applying Machine Learning Algorithms 7. Chapter 7: Evaluating and Optimizing Models 8. Chapter 8: AWS Application Services for AI/ML 9. Chapter 9: Amazon SageMaker Modeling 10. Chapter 10: Model Deployment 11. Chapter 11: Accessing the Online Practice Resources 12. Other Books You May Enjoy

Creating alternative pipelines with Lambda Functions

Indeed, SageMaker is an awesome platform that you can use to create training and inference pipelines. However, you can always work with different services to come up with similar solutions. One of these services, which you will learn about next, is known as Lambda functions.

AWS Lambda is a serverless compute service where you can run a function as a service. In other words, you can concentrate your efforts on just writing your function. Then, you just need to tell AWS how to run it (that is, the environment and resource configurations), so all the necessary resources will be provisioned to run your code and then discontinued once it is completed.

Throughout Chapter 3, AWS Services for Data Migration and Processing, you explored how Lambda functions integrate with many different services, such as Kinesis and AWS Batch. Indeed, AWS did a very good job of integrating Lambda with 140+ services (and the list is constantly increasing...

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