In Machine Learning Operations (MLOps) with Vertex AI: Manage Features, you will gain valuable hands-on experience containerizing ML workflows for reproducibility, scalable training, and inference on Google Cloud. You will also learn how to use the Vertex AI Feature Store to efficiently share, discover, and re-use ML features across machine learning workflows and experiments.
What you'll learn
containerizing ML workflows
using Vertex AI Feature Store
sharing and discovering ML features
building scalable training and inference systems
Course objectives
to manage ML workflows effectively
to improve reproducibility in ML projects
to enhance collaboration among ML teams using features