MLOps
MLOps: operating models
MLOps training for data scientists and engineers: version models and data, monitor quality in production and roll out changes safely.
Prices on requestDates by arrangementView course details ↗
MLOps
MLOps courses: deploy, monitor and operate models, including on platforms such as OpenShift AI. Compare topics and enquire about training.
MLOps covers operating machine learning models: deploying, monitoring, updating and documenting them traceably. The topics suit data scientists, DevOps and platform teams, and ML engineers. As an entry point, “MLOps: operating models” fits. If you use a platform for models and generative applications, choose “Red Hat OpenShift AI: MLOps and GenAIOps”. Decide by environment: general operating principles or a specific platform. Vendor names imply no partnership. Knowledge of machine learning and containers helps. Scope and dates are confirmed on enquiry.
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Red Hat · EX267 orientation
Red Hat OpenShift AI: MLOps and GenAIOps
Plan and operate ML and generative AI workloads on OpenShift AI with traceable pipelines, model serving and platform boundaries.
Prices on requestDates by arrangementView course details ↗
Microsoft · AI-300
AI-300 Operationalizing Machine Learning and Generative AI Solutions: MLOps and GenAIOps on Azure
Automate training, deployment and monitoring for ML and generative AI using Azure Machine Learning, Foundry, GitHub Actions and Bicep.
€2,290 netDates by arrangementView course details ↗