Book Content
chapters • 12h28m total length
1. Introduction to the Data-Driven Edge with Machine Learning
2. Foundations of Edge Workloads
3. Building the Edge
4. Extending the Cloud to the Edge
5. Ingesting and Streaming Data from the Edge
6. Processing and Consuming Data on the Cloud
7. Machine Learning Workloads at the Edge
8. DevOps and MLOps for the Edge
9. Fleet Management at Scale
10. Reviewing the Solution with AWS Well-Architected Framework














