• Webinars
  • Bring a Machine Learning Application in Managed Kubernetes in 10 Minutes

Log In to Continue

Please fill the correct email

If you haven't signed up, please do so by filling out the form on the right → Please sign up for the webinar.

Bring a Machine Learning Application in Managed Kubernetes in 10 Minutes

Thursday, Aug. 29, 2019 | 10:00 AM - 11:00 AM UTC+1:00

View More

Overview

Before Kubernetes, gaps between Machine Leaning engineers and Platform Technology engineers exist, as two domain required different skill sets. Thanks to Kubernetes, new trend such as AIOps, reduces the gap and makes data scientist can efficiently complete their work and excellence, even for a production purpose. In this session, we will discuss the latest Kubernetes development for data science, such as Kubeflow and arena. And then, demonstrate setting up K8s managed clusters, deploying Jupyter Notebook data science environment, training machine learning model in a distributed running environment and deploying prediction application in cloud-native.

Miss the first webinar? Check it out here:

k8s webinar 1: https://resource.alibabacloud.com/webinar/detail.html?id=946

Topics

•Demo to train a machine learning model in Kubernetes with distributing GPUs
•Understand machine learning challenges, Kubernetes, Kubeflow, and arena
•Demo to deploy a machine learning model in Kubernetes
•MLOps trend discussion

Speaker(s)

  • Dr. Jianhua

    Solution Architect

    Dr. Jianhua Shao is a data science solution architect in Alibaba Cloud. Although London based, he works to design and deliver Alibaba cloud solution for Alibaba global customers, with a primary focus in data, AI and finance. Before Alibaba, he worked as a data scientist in Barclays Bank (London), T-Mobile (Berlin), China Mobile (Beijing), Cass Business School (London), University College Dublin (Ireland) and several startups. He has PhD degree in digital economy and BSc degree in CS.

Sign Up Now

Log in with your Alibaba Cloud account to sign up for this webinar.

Or fill out the form below to sign up.

Thank you for signing up. Sign up for Other Users

Recommended Webinars

Explore More
Sign Up for the Webinar