Kubernetes Series (I): How to set up Kubernetes for all your machine learning w

Presented by

Leah Kolben

About this talk

Follow along with our weekly series of workshops focused on Kubernetes for machine learning! Kubernetes is an orchestration platform that can be deployed anywhere and can serve any kind of machine and deep learning environment. Kubernetes is a great tool for data scientists to use to stay productive and for data engineers to get production-ready results. In this free workshop you’ll learn how to build your own Kubernetes to use in your next machine learning pipeline. Join CTO of cnvrg.io Leah Kolben where she will walk you through each step to set up your Kubernetes cluster, so you can run Spark, TensorFlow, and any ML framework instantly. She’ll touch on the entire machine learning pipeline from model training to model deployment. As a bonus, you will also get pre-configured YAML files to launch your own end-to-end machine learning on a Kubernetes cluster. From this workshop you’ll learn to: - Create a Kubernetes cluster on AWS - Connect your local development machine to the cluster - Run any machine learning models (Spark, TensorFlow, and more) on your cluster - Managing different environments for your Kubernetes cluster (Deep Learning and Big Data Analytics on the same cluster) - Scale a Kubernetes cluster

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Learn from various data science and engineering experts about key topics for successful machine learning. cnvrg.io will provide you with hands-on tutorials and workshops about the top methods in data science team management, and MLOps getting you from research to production. Stay ahead with the latest developments in auto-adaptive machine learning and CI/CD for machine learning. Learn the latest methods for machine learning model management and deployment with open source tools. Find answers on how to enhance team collaboration in your data science department, and smoothly bridge science to engineering.