A half-day experience, the Red Hat AI roadshow 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.

What you’ll learn and experience:

• 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 engineer

• IT decision makers

• IT directors

• Infrastructure architects

• Infrastructure specialists

• Enterprise architects

• Developers

• Application architects

• Developer team leads

• 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.