The AWS AI/ML skill became a core component of the Agent Toolkit for AWS, enabling coding agents to select, train, optimize, and deploy Amazon SageMaker machine learning models via natural language commands. This skill complements other AWS skills within the toolkit, providing a unified interface for AI workflow management.
Capabilities include inference optimization, model fine-tuning, serverful training, experiment tracking with MLflow, and deployment of JumpStart models. The skill is pre-installed in SageMaker Studio JupyterLab and available at no extra cost, with customers charged only for underlying AWS resource usage. This integration supports efficient development and deployment of AI/ML applications.
Source & further reading
Bring deep SageMaker AI expertise to your coding agent with the AWS AI/ML skill in the Agent Toolkit for AWS ↗Source published 2026-10-13. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.