Overview

An immersive experience, the Red Hat AI roadshow gives you insight into how to accelerate time to value of AI-enabled applications that scale across hybrid cloud. So you can increase team productivity, enhance customer experiences, and drive innovation with enterprise-ready AI, including generative and predictive AI. You’ll also see how you can measure the business impact of an AI initiative.

 

About the event

Developers are being called on to create AI-infused applications. Advanced tools and platforms can automate routine tasks to help streamline coding, enhance efficiency, and let you focus on more complex tasks. This workshop is a one-day, immersive experience featuring hands-on labs where you can explore next-generation AI tools, techniques, and architectures tailored for developers.

 

What you'll learn and experience

 

• How generative AI is being used as a strategic enabler by enterprises
• How Red Hat AI accelerates AI innovation and reduces the operational cost of developing and delivering AI solutions across hybrid cloud environments
• Use private AI models to power AI-driven code generation in your IDE safely.
• Rotate between key personas critical to delivering modern, production-level AI services - From Platform Engineer, to AI application developer, to DevOps Practitioner and Technical Decision-Maker - you’ll walk away with practical experience across the lifecycle of AI enabled applications.
• Modernize and deploy cloud-native AI applications across teams using internal developer portals.
• Enhance model performance through prompt engineering.
• Improve model results with private data using retrieval-augmented generation (RAG).
• Fine-tune a foundation model using proprietary data and open source AI tooling.
• Explore the unique challenges and techniques involved in testing AI models and applications.

 

Who should attend:

 

• AI engineer
• Data engineers 
• Data scientists
• ML engineer
• IT decision makers
• IT directors
• Infrastructure architects
• Infrastructure specialists
• Enterprise architects
• Developers
• Application architects
• Developer team leads

 

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
• Entry level Java experience is helpful, but not required
• General knowledge of AI terminology (e.g., machine learning, deep learning, foundation models, etc.).
• No AI experience is required.

 

Partner

 

Travel / Location

Event location: Terminal City Club, 837 W Hastings St, Vancouver, BC V6C 1B6,
Date: March 5, 2026
Time: 8:30 AM - 3:30 PM PT

Any questions? Reach out to agenestr@redhat.com.