Table of Contents
- Introduction to the Data-Driven Edge with Machine Learning
- Foundations of Edge Workloads
- Building the Edge
- Extending the Cloud to the Edge
- Ingesting and Streaming Data from the Edge
- Processing and Consuming Data on the Cloud
- Machine Learning Workloads at the Edge
- DevOps and MLOps for the Edge
- Fleet Management at Scale
- Reviewing the Solution with AWS Well-Architected Framework

