OpenShift AI roadshow gives attendees insight into how organizations are using, delivering, monitoring AI-enabled applications with speed across the hybrid cloud. As part of the roadshow – 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:
- AI/ML market, technology, and operational trends that will help inform your organization’s AI/ML initiatives.
- How a hybrid MLOps platform - and its partner ecosystem - eases collaboration between IT, data science, and application development teams to enable faster innovation.
- Use case and implementation lessons other organizations have learned from starting or optimizing their AI/ML software application delivery process.
- 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.
Know before you go
Operations, developers, and data science practitioners doing the 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.
Agenda
Time |
Subject |
09:30 |
Registration and networking |
10:00 |
Welcome and Introduction |
10:05 |
How AI/ML landscape is evolving |
10:35 |
Operationalize AI with Red Hat OpenShift AI & its Ecosystem |
11:00 |
How Red Hat customers are finding success with AI - enabled software applications |
11:30 |
Break |
12:00 |
Hands on Lab - Use AI/ML to help insurance adjusters be more productive |
13:30 |
Lunch |