AWS Summit DC 2022 - Amazon SageMaker Inference explained: Which style is right for you?

AWS re:Invent 2022 - Deploy ML models for inference at high performance & low cost, ft AT&T (AIM302)

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

AWS re:Invent 2023 - Scaling FM inference to hundreds of models with Amazon SageMaker (AIM327)

AWS Summit SF 2022 - Use Amazon SageMaker to build high-quality ML models faster (AIM202)

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

AWS re:Invent 2023 - Introduction to MLOps engineering on AWS (TNC215)

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AWS re:Invent 2022 - Store features across teams with Amazon Feature Store, feat. Zalando (AIM339)

Build ML models using SageMaker Studio Notebooks - AWS Virtual Workshop

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

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

Introduction to Data Mesh with Zhamak Dehghani

Machine Learning for Everybody – Full Course

AWS re:Invent 2023 - Accelerate FM development with Amazon SageMaker JumpStart (AIM328)

The Easiest Way to Build Machine Learning Models (AWS Sagemaker) MLOps

Deploying machine learning models for inference- AWS Virtual Workshop

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

End To End Machine Learning Project Implementation Using AWS Sagemaker

CompTIA Network+ Certification Video Course

Amazon Sagemaker Tutorial | AWS SageMaker Tutorial | How to Use Amazon SageMaker | Machine Learning