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A single 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.

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

Important: Please bring your personal laptop (No VPN) to access this hands-on experience. Kindly ensure that your laptop should have a modern web browser that can operate without a corporate VPN connection. While our preferred browser is Google Chrome, Firefox, Safari, and Edge should also be compatible.

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-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.)
• No AI experience is required

Note:
Red Hat is committed to the health and safety of our customers, partners, and employees. All attendees will be expected to follow Red Hat and local guidelines regarding COVID-19. Please do not attend if you are feeling ill or have any symptoms of a viral infection. Please note that all protocols are subject to change.