Streamline your machine learning model deployment lifecycle with Terraform

Building and deploying custom ML models is often slow and error-prone, causing months-long delays. These challenges hinder customer innovation and responsiveness. In this session, we'll show how to use HashiCorp Terraform AWS and Cloud Control API (AWSCC) Provider to streamline and automate model preparation and deployment on Amazon Bedrock. This solution enables engineers to create environments and data scientists to develop custom models in under 30 minutes and accelerating model deployment lifecycle.