Join Red Hat for an AI/ML virtual hands-on workshop, where we will guide you through the entire AI/ML lifecycle; from Data Analytics, Data Engineering, Data Science, and ML-Ops that will see your models running in production.
Date: Thursday 14 October 2021
Time: 2:00pm - 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 Trino for low latency access to data - residing anywhere, Superset for querying and dashboards, Spark for data engineering, 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 the 100% open source AI/ML platform: Open Data Hub.
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.
Workshop Facilitator (bio in Workshop Facilitator section below):
Key learning points:
Who should attend:
Seats are limited, please register and we will let you know soon after if your seat has been reserved for the scheduled date.
Questions? Please contact Brad Rogers at brogers@redhat.com
| Important Notice | |
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| Date : | Thursday 14 October 2021 |
| Time : | 2:00pm - 5:00pm AEDT |
| Duration: | 3 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.
