MLOps on Kubernetes: Exploring Argo Workflows
Hauke Brammer - 2 years ago
Dive into the world of MLOps, where machine learning integrates seamlessly with established software development and operations processes. In this talk, we will explore how we can use Argo Workflows on Kubernetes to build efficient pipelines for Machine Learning.
After laying a foundation with a quick introduction to MLOps, we'll deep-dive into the use of Argo Workflows in every facet of your ML workflow - from automating data cleansing processes and training ML models with ease to carrying out efficient batch inference.
By the end of this talk, you will be equipped with a better understanding of how to streamline your MLOps approach and accelerate your journey toward an optimal machine learning workflow.
After laying a foundation with a quick introduction to MLOps, we'll deep-dive into the use of Argo Workflows in every facet of your ML workflow - from automating data cleansing processes and training ML models with ease to carrying out efficient batch inference.
By the end of this talk, you will be equipped with a better understanding of how to streamline your MLOps approach and accelerate your journey toward an optimal machine learning workflow.
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