Ep 17: ML Automation (MLOps) on AWS

Update: 2022-09-19

Description

In this episode we take a look at options for executing ML workloads on AWS. We will review what is available within the Amazon SageMaker toolset and what you can do outside of it.

Comments

In Channel

AWS re:View Ep 27: Amazon EventBridge

2023-03-2043:26

AWS re:View Ep26: [IRL] Interview with John Moberg, CEO at Conductive Digital

2023-01-1650:03

AWS re:View Ep 25: Data Processing Announcements from AWS re:Invent 2022

2023-01-0938:35

AWS re:View Ep24: Amazon S3 Capability Deep Dive Part 2

2022-12-0543:53

Ep23: AWS Updates Nov '22

2022-11-2823:56

Ep 22: Amazon S3 Capability Deep Dive, Part 1

2022-11-2145:01

Ep21: (IRL) Interview with Aaron Decker, Co-founder/Head of Engineering at Bounty

2022-10-3147:08

Ep 20: AWS Glue Features and Capabilities

2022-10-2401:05:29

Ep 19: AWS Updates Oct ‘22

2022-10-1749:14

Ep 18: AWS Developer Assistance Tools

2022-09-2649:14

Ep 17: ML Automation (MLOps) on AWS

2022-09-1949:14

Ep 16: Developing with SageMaker

2022-09-0137:25

Ep 15: The Data Science Process on AWS

2022-08-1601:03:36

Ep 14: AI/ML Learning Enablement with AWS

2022-08-0118:19

Ep 13: AWS AI Pre-Trained Services

2022-07-2642:40

Ep 12: AWS Data Exchange

2022-07-1901:00:10

Ep 11: Interactive Data Analysis on AWS

2022-07-1133:44

Ep 10: Ingesting Data from non-AWS Systems

2022-06-2701:02:13

Ep 9: Data Federation Capabilities in AWS

2022-06-2050:21

Ep 8: Transforming and Curating Data for Analytics on AWS

2022-06-1301:02:08

00:00

Ep 17: ML Automation (MLOps) on AWS

Michael J Krouze & John Affolter

#box-pro-ellipsis-176127580785925{-webkit-line-clamp:2;}Ep 17: ML Automation (MLOps) on AWS

Ep 17: ML Automation (MLOps) on AWS

Michael J Krouze & John Affolter

Ep 17: ML Automation (MLOps) on AWS