Master industry-leading technologies with OSELabs. Deploy scalable applications and advance your IT career with our expert-led classes and dedicated lab environments.
Validate your capability to operationalize the complete lifecycle of modern applications. Prove you can build, deploy, monitor, and scale reliably in production enterprise environments.
Discover how Red Hat OpenShift AI (RHOAI) provides a complete MLOps and GenAIOps platform. Configure data science projects for team collaboration using role-based access.
Create and edit workbenches with custom images, versions, and sizes. Connect Jupyter and Elyra workbenches securely to external data sources and S3 object storage.
Understand OpenShift AI model serving architecture. Deploy and serve predictive AI models using specialized runtimes (including OpenVINO) in both Standard and Advanced modes.
Ensure ethical AI performance in production. Monitor deployed models for bias and data drift using TrustyAI, and track hardware consumption using Grafana.
Automate ML workflows. Create pipeline servers and execute pipelines using the Elyra and KubeFlow SDK. Manage artifacts and configure Kubernetes features within pipelines.
Systematically optimize and evaluate Large Language Models (LLMs) using RHOAI's compression techniques and advanced evaluation frameworks.
Build production-ready GenAI applications. Implement Retrieval-Augmented Generation (RAG) with vector databases, agentic workflows, and robust safety guardrails.
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