Aws Re:invent 2021 - Train Ml Models At Scale With Amazon Sagemaker, Featuring Aurora

AWS re:Invent 2021 - Train ML models at scale with Amazon SageMaker, featuring Aurora

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

AWS re:Invent 2021 - Use SageMaker to develop ML models faster, featuring Qualtrics

Build, Train and Deploy ML Models at Scale with Amazon SageMaker

Amazon Web Services

Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks

AWS Summit SF 2022 - Train ML models at scale with Amazon SageMaker Training (AIM207)

AWS re:Invent 2021 - {New Launch} Introducing Amazon SageMaker Training Compiler

AWS re:Invent 2022 - [NEW] Easily build, train, and deploy ML models using geospatial data (AIM218)

AWS re:Invent 2023 - Train and tune state-of-the-art ML models on Amazon SageMaker (AIM335)

AWS AMER Summit May 2021 | Build, train, and deploy ML models using Amazon SageMaker

AWS re:Invent 2022 - Train and host foundation models with PyTorch on AWS (AIM404)

Build, Train, and Deploy Machine Learning Models at Scale Using AWS

Amazon Web Services

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

Getting Started with Amazon SageMaker - Build, Train, and Deploy Machine Learning Models

Amazon Web Services

AWS re:Invent 2021 - Predictive audience scoring at scale with Amazon SageMaker

Build, Train, and Deploy Machine Learning Models using Amazon SageMaker | Amazon Web Services

Amazon Web Services

AWS re:Invent 2021 - Large-scale distributed training of media ML models with Amazon FSx

AWS re:Invent 2021 - Vanguard: Personalization at scale with Amazon SageMaker

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