Aws Re:invent 2020: Scaling Mlops On Kubernetes With Amazon Sagemaker Operators

AWS re:Invent 2020: Scaling MLOps on Kubernetes with Amazon SageMaker Operators

AWS re:Invent 2020: Implementing MLOps practices with Amazon SageMaker

AWS re:Invent 2020: How to create fully automated ML workflows with Amazon SageMaker Pipelines

AWS re:Invent 2019: Implement ML workflows with Kubernetes and Amazon SageMaker (AIM326-R1)

AWS re:Invent 2021 - Implementing MLOps practices with Amazon SageMaker, featuring Vanguard

AWS re:Invent 2019 Launchpad | Amazon SageMaker Operators for Kubernetes

Introducing Amazon SageMaker Pipelines - AWS re:Invent 2020

AWS re:Invent 2020: Choose the right machine learning algorithm in Amazon SageMaker

Amazon SageMaker MLOps | Amazon Web Services

Amazon Web Services

AWS re:Invent 2020: Fast training and near-linear scaling with DataParallel in Amazon SageMaker

AWS re:Invent 2020: Building end-to-end ML workflows with Kubeflow Pipelines

Automate MLOps with SageMaker Projects | Amazon Web Services

Amazon Web Services

AWS Summit ANZ 2022 - MLOps with Amazon SageMaker: Carsales journey to scale AI (SCI8)

AWS re:Invent 2022 - Productionize ML workloads using Amazon SageMaker MLOps, feat. NatWest (AIM321)

AWS re:Invent 2023 - Scale complete ML development with Amazon SageMaker Studio (AIM325)

AWS Summit ANZ 2022 - End-to-end MLOps for architects (ARCH3)

AWS re:Invent 2022 - Train ML models at scale with Amazon SageMaker, featuring AI21 Labs (AIM301)

AWS AMER Summit May 2021 | Implement MLOps practices with Amazon SageMaker

Active Learning on Kubernetes and Amazon SageMaker

Amazon Web Services