Released: 12/2024
Duration: 1h 9m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 166 MB
Level: Intermediate | Genre: eLearning | Language: English
In this course, MLOps expert Maria Vechtomova introduces the components and principles that you must understand to successfully deploy machine learning models to production on Databricks. Dive into the step-by-step process of using Feature Engineering in Unity Catalog, tracking model experiments in mlflow, registering a model in Unity Catalog, and deploying your model using Databricks model serving. Explore the use cases where Feature Serving can be used and find out how to deploy a Feature Serving endpoint. Plus, learn how to package your code, deploy your project using Databricks Asset Bundles, and monitor your ML application using inference tables and Lakehouse monitoring.
