From code to cloud: Building AI-ready skills with Red Hat

As organizations move from AI experimentation to production-grade deployment, the bottleneck is no longer just the hardware—it’s the skills gap. To stay competitive, teams must move beyond siloed data analysis and model experimentation to mastering the lifecycle of AI/ML applications on enterprise-grade platforms. In this webinar, we explore the Red Hat AI skills path: a comprehensive journey designed to empower individuals—from data scientists, to developers, to MLOps engineers—to learn how to build, deploy, and manage AI at scale.

Summary Agenda:

• The AI Skills Landscape: Breaking down silos for high-performing MLOps and GenAIOps teams.
• The Starting Line: Introduction to our free technical overviews to jumpstart your AI literacy:
  • Red Hat AI Inference Server Technical Overview
  • Red Hat OpenShift AI Technical Overview
• Building the Foundation: Why Python Programming with Red Hat is the essential first step for any AI practitioner.
• Modernizing the Lifecycle: How to design, build, and deploy containerized software applications on an OpenShift cluster.
• Operationalizing at Scale: Efficiently train, test, deploy, and monitor both predictive and generative AI models at scale.
• Solidify your training and become a certified Red Hat OpenShift AI specialist.
• Pathways to Success: Enablement paths and learning options.
• Resource Walkthrough: Next steps for your personalized learning journey.

SPEAKER