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The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY

In-Person Training
Machine learning at scale with Kubernetes

Christopher Cho (Google)
9:00am–5:00pm Wednesday, August 22, 2018
1-Day Training Location: Concourse F
Average rating: ****.
(4.00, 1 rating)

This is a 1-Day training course. Participants should plan to attend training courses on both Tuesday and Wednesday. To attend, you must register for a Platinum pass; does not include access to tutorials on Wednesday.

Christopher Cho demonstrates how Kubernetes can be easily leveraged to build a complete deep learning pipeline, including data ingestion and aggregation, preprocessing, ML training, and serving with the mighty Kubernetes APIs.

What you'll learn, and how you can apply it

  • How to leverage Kubernetes to build a complete ML pipeline
  • How Kubeflow helps data scientists and machine learning engineers to develop, deploy, and manage portable, distributed machine learning on Kubernetes
  • How to get started with Kubeflow on CPUs and GPUs

Christopher Cho demonstrates how Kubernetes can be easily leveraged to build a complete deep learning pipeline, including data ingestion and aggregation, preprocessing, ML training, and serving with the mighty Kubernetes APIs. Along the way, Chistopher covers Kubeflow, Google’s open source solution for managing machine learning with TensorFlow in a portable, scalable manner, and shares recent innovations in monitoring GPUs with Kubernetes, smarter serving with GPUs, autoscaling from and to zero instances, and a declarative approach to portable distributed training.

Join in to learn how to get started with just three commands across a variety of platforms with Kubernetes and Kubeflow.

About your instructor

Photo of Christopher Cho

Christopher Cho is a product manager and cloud program manager at Google, where he helps customers solve machine learning and infrastructure problems, and is one of the product managers in Kubeflow team. Previously, Chris was research program manager at DeepMind, working on cutting-edge ML research. His background is in enterprise business consulting. Chris is currently working toward his MSCS at Georgia Tech. He holds a BS in mechanical engineering from the University of Illinois Urbana-Champaign.

Conference registration

Get the Platinum pass or the Training pass to add this course to your package.