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Intelligent Workloads at the Edge

You're reading from   Intelligent Workloads at the Edge Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801811781
Length 374 pages
Edition 1st Edition
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Authors (2):
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Ryan Burke Ryan Burke
Author Profile Icon Ryan Burke
Ryan Burke
LinkedIn
Ryan Burke is a Senior Sustainability Application Architect at Amazon Web Services, formerly the Worldwide Technical Leader for IoT. He has worked in information technology since 2006, developing web services, user experiences, and architecting IoT solutions. He has spoken to audiences on IoT topics at events including AWS re:Invent, SxSW, TDWI, and local meetup communities. He holds a B.S. in computer science from the Georgia Institute of Technology, and served 6 years as a communications officer in the U.S. Air Force Reserves. In his free time, Ryan enjoys yoga, coffee snobbery, games of all kinds, and annoying his family with a new smart home project.
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Indraneel (Neel) Mitra Indraneel (Neel) Mitra
Author Profile Icon Indraneel (Neel) Mitra
Indraneel (Neel) Mitra
LinkedIn
Indraneel Mitra is a Principal Solutions Architect for IoT at Amazon Web Services. He has 17+ years of IT consulting and architecting experience with start ups and Fortune 500 customers across different industry verticals. He has spoken at different events, including AWS re:Invent, AWS Summits, AWS Webinar and Twitch shows, the RSA cybersecurity conference, the Emerging Technologies for Enterprise (ETE) conference, and local meetups on different topics for many years as a seasoned public speaker. Neel is also the co-author and trainer of the popular IoT course, AWS IoT: Developing and Deploying an Internet of Things, available on Coursera and edX. He holds an M.S. in software engineering from BITS Pilani, India.rn
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction and Prerequisites
2. Chapter 1: Introduction to the Data-Driven Edge with Machine Learning FREE CHAPTER 3. Section 2: Building Blocks
4. Chapter 2: Foundations of Edge Workloads 5. Chapter 3: Building the Edge 6. Chapter 4: Extending the Cloud to the Edge 7. Chapter 5: Ingesting and Streaming Data from the Edge 8. Chapter 6: Processing and Consuming Data on the Cloud 9. Chapter 7: Machine Learning Workloads at the Edge 10. Section 3: Scaling It Up
11. Chapter 8: DevOps and MLOps for the Edge 12. Chapter 9: Fleet Management at Scale 13. Section 4: Bring It All Together
14. Chapter 10: Reviewing the Solution with AWS Well-Architected Framework 15. Other Books You May Enjoy Appendix 1 – Answer Key

Summary

In this chapter, you were introduced to ML concepts relevant to IoT workloads. You learned how to design ML pipelines, along with optimizing models for IoT workloads. You implemented an edge-to-cloud architecture to perform inferences on unstructured data (images). Finally, you validated the workflow by visualizing the inferencing results from the edge for additional insights. 

In the next chapter, you will learn how to implement DevOps and MLOps practices to achieve operational efficiency for IoT edge workloads deployed at scale.

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Authors (2)

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Profile icon Indraneel (Neel) Mitra
Indraneel (Neel) Mitra
LinkedIn icon
Indraneel Mitra is a Principal Solutions Architect for IoT at Amazon Web Services. He has 17+ years of IT consulting and architecting experience with start ups and Fortune 500 customers across different industry verticals. He has spoken at different events, including AWS re:Invent, AWS Summits, AWS Webinar and Twitch shows, the RSA cybersecurity conference, the Emerging Technologies for Enterprise (ETE) conference, and local meetups on different topics for many years as a seasoned public speaker. Neel is also the co-author and trainer of the popular IoT course, AWS IoT: Developing and Deploying an Internet of Things, available on Coursera and edX. He holds an M.S. in software engineering from BITS Pilani, India.
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See other products by Indraneel (Neel) Mitra
Profile icon Ryan Burke
Ryan Burke
Github icon
Ryan Burke is a Senior Sustainability Application Architect at Amazon Web Services, formerly the Worldwide Technical Leader for IoT. He has worked in information technology since 2006, developing web services, user experiences, and architecting IoT solutions. He has spoken to audiences on IoT topics at events including AWS re:Invent, SxSW, TDWI, and local meetup communities. He holds a B.S. in computer science from the Georgia Institute of Technology, and served 6 years as a communications officer in the U.S. Air Force Reserves. In his free time, Ryan enjoys yoga, coffee snobbery, games of all kinds, and annoying his family with a new smart home project.
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See other products by Ryan Burke
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