In this video, you will learn how to automate model deployment workflows, including promoting the model artifacts into production and integrating into CI/CD pipelines on Amazon SageMaker.
Learn more: go.aws/3VwKKh2
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #GenerativeAI #Foundationmodel
- Getting started with MLOps on Amazon SageMaker for generative AI | Amazon Web Services ( Download)
- Amazon SageMaker MLOps Integration ( Download)
- Amazon SageMaker MLOps | Amazon Web Services ( Download)
- Automate MLOps with SageMaker Projects | Amazon Web Services ( Download)
- Deliver high-performance ML models faster with MLOps tools ( Download)
- End To End Machine Learning Project Implementation Using AWS Sagemaker ( Download)
- AWS Summit ANZ 2022 - End-to-end MLOps for architects (ARCH3) ( Download)
- AWS re:Invent 2022 - Productionize ML workloads using Amazon SageMaker MLOps, feat. NatWest (AIM321) ( Download)
- AWS AMER Summit May 2021 | Implement MLOps practices with Amazon SageMaker ( Download)
- AWS AMER Summit Aug 2021: Implement MLOps practices with Amazon SageMaker ( Download)
- AWS re:Invent 2021 - Implementing MLOps practices with Amazon SageMaker, featuring Vanguard ( Download)
- AWS re:Invent 2020: Implementing MLOps practices with Amazon SageMaker ( Download)
- Implement MLOps Practices with Amazon SageMaker Pipelines (Hebrew) ( Download)
- Webinar End to end MLOps using AWS Sagemaker ( Download)
- AWS Summit ANZ 2022 - MLOps with Amazon SageMaker: Carsales journey to scale AI (SCI8) ( Download)