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
Atualizado 4/1/2026
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512
Forks
62
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.

Instalação
$ install --globalskills.sh
Uso

Depois de instalar, você pode usar esta skill executando o seguinte comando no terminal:

skills use model-deployment