OVERVIEW
Get hands-on with a hybrid MLOps platform in our Private Model as a Service workshop
Red Hat OpenShift AI provides a Models-as-a-Service architecture that enables centralized model management, secure API gateways, and developer-friendly access without GPU complexity. This hands-on workshop rotates participants through three personas: as a developer, access model credentials and integrate AI code assistants into your workflow; as an SRE/DevOps practitioner, explore agentic AI with Model Context Protocol (MCP) servers to interact with OpenShift and Slack using natural language; as a decision maker, monitor model usage analytics with Grafana to understand cost, capacity, and business impact.
What you’ll learn and experience:
- Introduction to Models-as-a-Service Infrastructure
- AI-Assisted Development with OpenShift Dev Spaces
- Game Time: Build Applications with AI Assistance
- System Administration with Agentic AI
- Usage Analytics and Reporting
No AI experience is required.
Who should attend:
- Data engineers
- Data scientists
- ML engineer
- Infrastructure architects
- Infrastructure specialists
- Enterprise architects
- Developers
- Application architects
- Developer team leads
Know before you go: Operations, developers, and data science practitioners taking part in these 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
- 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.
Virtual event details
Date: April 15, 2026
Time: 1:00 PM - 3:00 PM ET
Any questions? Please email erhernan@redhat.com
