Introduction to MLOps - Bringing DevOps and Automation to Machine Learning (Cantonese)

MLOps topic is a common ask from our customers who want to productionize the ML workloads. This sessions will cover what is MLOps, why it is important, and how it can help organizations reach their full AI potential. Then we will take a deeper look at the ML lifecycle, the problems related to productionizing ML models and how MLOps can help. We will also show how to automate ML workflow using SageMaker to implement successful MLOps solutions.

Hei Chow, Solutions Architect, AWS

Previous Video
Personalized Recommendation and Demand Forecast - Use Cases, Solutions, and Benefits (Cantonese)
Personalized Recommendation and Demand Forecast - Use Cases, Solutions, and Benefits (Cantonese)

Hear about examples that leverage Amazon Personalize, Amazon Forecast, and Amazon SageMaker in helping orga...

Next Video
re:Invent Recap - What's new with AWS AI & Machine Learning (Cantonese)
re:Invent Recap - What's new with AWS AI & Machine Learning (Cantonese)

Hear about the latest AI & ML services on AWS.