OVERVIEW
The Red Hat AI hands-on workshop gives you insight into how to accelerate time to value of AI-enabled applications at scale across hybrid cloud. So you can increase team efficiency and productivity, enhance customer experiences, and drive innovation with enterprise-ready AI, including generative and predictive AI.
As part of the roadshow attendees will have the opportunity to build, train, and deploy AI models and integrate them 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.
In this session you will:
- How generative AI is being used as a strategic enabler
- Challenges and considerations to be aware of when building an end-to-end AI platform
- How Red Hat AI accelerates the development and delivery of AI solutions across hybrid-cloud environments
- A model alignment approach that does not require specialized data science skills
- Solution patterns IT teams can use to support rapid, cost-efficient, and secure AI development and usage
- Hands-on experience working with a MLOps platform: Build and train different model types, integrate them into a frontend application to create new features, and test the application as a user. No AI experience is required
Who should attend:
- Data Engineers, Data Scientists, ML engineers
- Developers and Developer team leads
- Application architects, Enterprise architects
- Infrastructure architects, Infrastructure specialists
- IT decision makers, IT directors
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:
- Comfortable with reading Python code. Note: There is no coding required in this workshop
- A laptop computer running Windows, MacOS, or Linux with the Firefox or Chrome-based web browser (a Chrome-based browser is preferred)
- 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.)
If you have any questions about this event, please reach out to anzevents@redhat.com.
EVENTS DETAILS
| Date : | Thursday, 26 February 2026 |
| Time : | 10:00 AM - 12:30 PM AEDT / 7:00 AM - 9:30 AM AWST / 12:00 PM - 2:30 PM NZDT |
Bryon Baker
AI Senior Specialist Solution Architect, Red Hat
Bryon Baker is a Specialist Solution Architect for Red Hat Asia Pacific. Having previously held managerial, engineering and architecture positions at National Australia Bank, Rational Software (USA), Ivar Jacobson International, and Siemens Research (UK), Bryon brings over 30 years of diverse experience in the IT industry.
Bryon’s experience spans embedded systems, electronics engineering, systems engineering, enterprise architecture, AI/ML and product management. Bryon is most passionate about machine learning and distributed system architectures.
Bryon holds a Bachelor of Science from Deakin University with majors in Mathematics and Computer Science.
