OVERVIEW
Interested in a chance to build, train, and deploy AI-enabled applications into production quickly with a hybrid MLOps platform?
This OpenShift® AI workshop gives attendees insight into how organizations are using, delivering, monitoring AI-enabled applications with speed across the hybrid cloud. As part of the workshop, IT operations, data engineers, data scientists, and application developers will have the opportunity to build, train, and deploy an AI model - and integrate it into an application with a hands-on lab. They’ll experience what it is like to go from an idea, to building an accurate model, to having a production-ready application.
What you’ll learn and experience:
Attendees will get hands-on experience working with a MLOps platform. Key lessons include working with data science projects and workbenches, training different models and measuring accuracy, serving and deploying models, integrating different models and capabilities into a frontend application, and testing the application as a user. No AI experience is required.
Who should attend:
- Data engineers
- Data scientists
- ML engineer
- Infrastructure architects
- Infrastructure specialists
- Enterprise architects
- Developers
- Application architects
- Developer team leads
Know before you go: Operations, developers, and data science practitioners taking part in these hands-on lab should have these suggested tools and knowledge of these areas.
- A laptop computer running Windows, MacOS, or Linux with the Firefox or Chrome web browser.
- Entry-level Kubernetes concepts
- A general understanding of Linux containers (e.g., Docker, CRI-O, etc.).
- General knowledge of AI terminology (e.g., machine learning, deep learning, foundation models, etc.).
- No AI experience is required.
Virtual event details
Date: December 17, 2025
Time: 1:00 PM - 3:00 PM ET
Any questions? Please email mtew@redhat.com.
