The capabilities offered by AI are no longer limited to large, centralized platforms. Today, engineering teams are increasingly embracing lightweight, specialized AI agents that can be managed, scaled, and deployed just like microservices in a cloud-native environment — whether for summarizing large documents, translation, classification, or other analytical tasks. In this tutorial, you will create, deploy, and run an AI model that provides REST APIs for summarization and translation using AWS Bedrock, FastAPI, Docker, and deployment on Amazon EKS via Helm.

This provides a reusable process for integrating AI into operations: one agent, one task, clear boundaries, and full Kubernetes-native visibility and control.