MLOps and LLMOps workflow automation tools for ZenML users
Scope and decompose ML workflow ideas into realistic ZenML pipeline architectures through an in-depth interview process
Author ZenML pipelines with steps, artifacts, Docker settings, materializers, metadata logging, secrets management, YAML configuration, and custom visualizations
Guided implementation of ZenML MLOps best practices including metadata logging, experiment tracking, alerters, scheduling, secrets management, and Model Control Plane setup