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MLOps Starter (Self-paced)
Learn key concepts around deploying models.
On this mission, you will learn the key concepts that provide the foundation for using MLOps. You will learn about the challenges associated with the deployment of machine learning (ML) models and how you can use DataRobot MLOps to address these challenges. Specifically, you'll learn about the monitoring capabilities of MLOps, as well as concepts like model decay, drift, Humble AI, and governance. If you’re new to model deployment and managing models in production, the MLOps Starter is just what you need to prepare for the MLOps I instructor-led mission.
Format and duration: self-paced, 1 hour
Who should complete this mission?
Those who want to gain experience in the productionizing of ML models but who might not have a technical background or ML deployment experience. Possible roles include managers, business decision-makers, DevOps administrators, and IT administrators. Before taking this course, you should complete a Starter Quest, AutoML I, or DataRobot for Data Scientists.
This mission is a prerequisite for MLOps I for those who do not have ML deployment experience.
- Chrome browser
- DataRobot Automated Machine Learning — If you don’t have access to the application, please sign up for our free trial: datarobot.com/trial.