VIRTUAL HANDS-ON WORKSHOP

Red Hat Virtual Hands-on Workshop for ANZ Bank: Accelerate Your AI/ML Lifecycle

Join Red Hat for an AI/ML virtual hands-on workshop, where we will guide you through the entire AI/ML lifecycle; from Data Engineering, Data Science, and ML-Ops that will see your models running in production.

Date: Thursday 4 March 2021
Time: 1:00pm - 5:00pm AEDT

From a process view, we will cover the AI/ML lifecycle as well as how organisations typically start their AI/ML journey or machine-learning projects.

From a tool perspective, participants will use Jupyter to build data models, Seldon to deploy models as REST services, Jenkins for building and deploying models, and Verta to record the experiments parameters. Everything will be running on Red Hat OpenShift and Red Hat Open Data Hub platforms.

This virtual hands-on workshop is for anyone who is interested in learning modern techniques to be successful with your machine learning projects, such as IT Managers, Data Engineers, Data Scientists and ML Ops team members.

No coding / development skills are required. A familiarity with coding will be advantageous.

This workshop is for up to 20 people and will be delivered virtually.

Key learning Points:

  • How to start a machine-learning project or AI/ML journey
  • What a typical AI/ML Lifecycle looks like, including key roles required
  • Gain hands-on experience with common tools and techniques used throughout the AI/ML lifecycle
  • How OpenShift delivers an on-demand AI/ML platform for the enterprise

Who should attend:

  • IT Managers, Data Engineers, Data Scientists and ML Ops team members

Workshop Facilitator (bio in Speakers section below):

  • Tom Corcoran, Associate Principal Solution Architect, Red Hat

Questions? Please contact Tyron Edwards at tedwards@redhat.com

Date : Thursday 4 March 2021
Time : 1:00pm - 5:00pm AEDT
Duration: 4 hours

Location
Australia
Australia
, Australia



XXXXXXXXX DATE AND TIME GOES BELOW IN YOUR LOCAL LANGUAGE XXXXXXXXX

Date: Thursday, November 1, 2019

Time: XX:XX – XX:XX CET

(Registration opens 30 minutes earlier)


If you have any question, send us an email.

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