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Effective URL: https://www.arrikto.com/kubeflow-and-mlops-workshop/
Submission: On September 16 via manual from IN — Scanned from DE
Effective URL: https://www.arrikto.com/kubeflow-and-mlops-workshop/
Submission: On September 16 via manual from IN — Scanned from DE
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This website stores cookies on your computer. These cookies are used to improve your website experience and provide more personalized services to you, both on this website and through other media. To find out more about the cookies we use, see our Privacy Policy. We track your information when you visit our site for performance, quality assurance, and marketing needs. In order to comply with your preferences, we'll have to use just one tiny cookie so that you're not asked to make this choice again. Accept Decline Join us for a 60 minute virtual workshop with an Arrikto solution architect on September 23, 2021. * Products * Enterprise Kubeflow * Rok Data Management * Community * Community Resources * Events * Success Stories * About * Company * Blog * Careers * Contact * Docs * Install * Tutorials * Start with MiniKF * Schedule a Workshop * Products * Enterprise Kubeflow * Rok Data Management * Community * Community Resources * Events * Success Stories * About * Company * Blog * Careers * Contact * Docs * Install * Tutorials * Start with MiniKF * Schedule a Workshop FREE KUBEFLOW AND MLOPS WORKSHOP SCHEDULE A 60 MINUTE VIRTUAL WORKSHOP WITH AN ARRIKTO SOLUTION ARCHITECT. Schedule a Workshop Who is this workshop for? Data scientists, machine learning developers, DevOps engineers and infrastructure operators. What topics will be covered in the workshop? In this workshop your team will gain a good understanding of the following: * How to install Kubeflow via MiniKF locally or on a public cloud * Take a snapshot of your notebook * Clone the snapshot to recreate the exact same environment * Create a pipeline starting from a Jupyter notebook * Go back in time using Rok. Reproduce a step of the pipeline and view it from inside your notebook * Create a Katib experiment starting from your notebook * Create an AutoML experiment * Serve a model from inside your notebook by creating a KFServing server * Create a TensorBoard server from inside your notebook and view the training logs What will my team receive at the conclusion of the workshop? Every participant will receive the slides used, links to all resources referenced in the workshop, access to GitHub repos, a recording of the presentation, plus a Kubeflow community welcome gift. How is the workshop delivered? This instructor led workshop is delivered over Zoom. What is the minimum number of participants needed to schedule a workshop for my team? We require a minimum of 3 participants. How do I schedule a Kubeflow and MLOps workshop? Simply fill out the contact form on this page and we’ll get you on the calendar. What are the prerequisites for the workshop? A basic understanding of cloud computing, Kubernetes and machine learning concepts is very helpful. I have questions about the workshop, where can I ask them? Simply ask them in the form below. I would like a specific topic covered in greater detail or a topic presented that is not on the workshop agenda. How can I make this request? Simply make the requests in the form below. REQUEST A FREE 60 MIN KUBEFLOW AND MLOPS WORKSHOP PRODUCTS Enterprise Kubeflow Rok Data Management COMMUNITY Community Resources Events Success Stories MLOps Explained ABOUT Company Blog Careers Contact Legal DOCS Install Tutorials Start with MiniKF CONNECT * Follow * Follow * Follow * Follow Copyright © Arrikto Inc. 2021 Gartner, Cool Vendors in Storage and Hybrid Infrastructure — Modernize Legacy, Prepare for Tomorrow,Jerry Rozeman, et , 25 May 2021. The Gartner Cool Vendor badge is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability