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Machine Learning & MLOps

MLflow

Appears in 3 learning paths and 6 topics.

MLflow course Official site

Where MLflow fits

MLOps: Machine Learning OperationsTake predictive ML models from notebook to reliable, monitored, governed production on Kubernetes and cloud.

Experiment Tracking, Training and Model Registry › Experiment Tracking with MLflow
Experiment Tracking, Training and Model Registry › Model Registry, Packaging and Model Cards
Pipelines, CI/CD and Continuous Training › CI/CD and Continuous Training for ML

AIOps: AI for IT OperationsTurn telemetry into action: cut alert noise, predict incidents, find root cause and automate fixes with AI.

Machine Learning for Operations Data › Operating AIOps Models in Production

LLMOps: Operating LLM, RAG and Agent ApplicationsBuild, evaluate, serve, observe and secure LLM, RAG and agent applications in production at a sane cost.

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