home/categories/architecture-patterns/awslabs-agent-plugins-plugins-sagemaker-ai-skills-model-deployment-skill-md
architecture-patternsdevelopment

model-deployment

Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.

awslabs
maintainer
awslabs
Actualizado 4/1/2026
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512
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quick start

Installation and usage

Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.

Instalación
$ install --globalskills.sh
Uso

Después de instalarlo, puedes usar este skill ejecutando el siguiente comando en tu terminal:

skills use model-deployment