Machine learning operations (MLOps) tools help you automate and standardize the ML lifecycle to productionize ML models faster without compromising model performance. Amazon SageMaker provides a breadth of mission-ready MLOps tools to experiment, train, test, deploy, and govern ML models at scale. In this session, learn how to use SageMaker to implement an end-to-end MLOps solution for your organization.
To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/mlops
⏭️ To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Deliver-high-performance-ML-models-faster-with-MLOps-tools_2023_VW-0715-MCL_OD
▶️ To access the workshop please visit: https://catalog.workshops.aws/mlops-from-idea-to-production/en-US
To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/mlops
⏭️ To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Deliver-high-performance-ML-models-faster-with-MLOps-tools_2023_VW-0715-MCL_OD
▶️ To access the workshop please visit: https://catalog.workshops.aws/mlops-from-idea-to-production/en-US
- Category
- AWS Developers
- Tags
- ML automation, MLops, Machine learning
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