Red Hat^® OpenShift^® Data Science is a managed service, available on all major clouds and On Premises that IT operations teams can enable for data scientists and developers of intelligent applications. It allows you to quickly build models with Jupyter notebooks without worrying about the underlying infrastructure.

Join Red Hat's AI/ML experts as they guide you through a quick hands-on workshop covering a Licence plate recognition use case. In this introductory workshop, you will learn how to use Red Hat OpenShift Data Science to recognise licence plates in car pictures, and extract the number from this plate.

Red Hat OpenShift Data Science brings you on-demand Jupyter Notebooks environments. Don’t worry if you’ve never used notebooks before as this workshop will start with a small tutorial on what they are and how to use them.

• Starting in Jupyter environment
• Jupyter Notebooks - data science-focused tool
• Packaging the model as an API
• Licence plate recognition (use case)
• Packaging the application
• Testing the application

Register for this workshop to experience first-hand how Red Hat OpenShift Data Science can simplify the onboarding of AI/ML projects, providing an easy solution for data scientists and data engineers.

Who should attend?

• Managers/Heads of - Data Engineers, Data Scientists and Developers
• Data Engineers, Data Scientists and Developers

While coding / development skills aren’t required, a familiarity with coding will be advantageous.

Questions? Please contact Rebecca Innes at rinnes@redhat.com.