Automating Amazon SageMaker workflows with AWS Step Functions

Automating ML Workflows in Secure Environments | AWS EventsПодробнее

Setup AWS Step Functions for a Machine Learning pipeline in AWSПодробнее

Deploying No-Code Automated MLOps for Amazon Forecast - AWS Online Tech TalksПодробнее

Pipelines with LineaPy + JAX/Ray/NVIDIA + SageMaker Data Wrangler with MLOpsПодробнее

Automated workflows with AWS Step Functions SDK (Part 1)Подробнее

SageMaker Friday episode 4 - Automate ML workflows - AWS Online Tech TalksПодробнее

Extend your Data Warehouse to your Data Lake | Amazon Web ServicesПодробнее

AWS step Functions: Develop Serverless Machine Learning WorkflowsПодробнее

AWS On Air ft. Amazon SageMaker Pipelines | AWS EventsПодробнее

AWS re:Invent 2021 - What’s new in serverlessПодробнее

Continuous Delivery for AutoML - CD4AutoML - Data Science on AWS Monthly Webinar - Jan 2021Подробнее

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

Amazon Step Function Data Science SDK - inferenceПодробнее

Amazon Step Function Data Science SDK - TrainПодробнее

Simplify Cloud App Development Process with AWS Step Functions in 15 MinutesПодробнее

Olalekan Elesin: Continuous Delivery for AutoML with Amazon SageMaker Autopilot and Step FunctionsПодробнее

Machine Learning Ops: DevOps for Data Science - Level 400 (United States)Подробнее

Implement AI/ML workflows with Amazon SageMaker (Hebrew)Подробнее

Jamie Walker - Batch processing with AWS Step FunctionsПодробнее

AWS Step Functions: Workflows for serverless apps and moreПодробнее