OVERVIEW
Join Red Hat's AI/ML experts as they guide you through a quick hands-on workshop covering an AI/ML use case.
In the first part, you will train a model that performs image classification. In the second part, you will deploy the model to detect real-time anomalies.
The workshop includes the following:
- Training and deployment automation of the AI Models
- Video Capture at the edge
- Realtime AI inference on the captured video detecting anomalies
You will experience how Red Hat’s enterprise Kubernetes platform, OpenShift, solves problems that often reduce the business value of AI/ML including:
- Self-service tool provisioning - radically improving productivity
- Kubernetes scheduling improving hardware utilisation
- Safe, easy and fast movement of models to production for inference
- How to apply a consistent toolset to AI/ML practitioners
- How OpenShift provides a robust Data Streaming architecture, based on Kafka, suitable for real-time image detection inferencing.
- How the Red Hat managed services provide an end-to-end platform to build and deploy models, and more importantly provide all the components to use the model for your business use case
In this workshop, you will create workflows and get hands-on with:
- Self Service of data engineering and data science-focused tools including Apache Kafka, Jupyter Notebooks
- Collaboration and workflow handoff tools such as shared S3 object storage
- Inferencing and model serving tools including Seldon and enable simple model consumption by intelligent applications over RESTful interfaces.
- Red Hat Managed Kafka and Red Hat Managed JupyterHub
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, rinnes@redhat.com.
