edX
MOOC / Non-credit
0
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
About this course
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.
C
67/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
Machine Learning
#google cloud
#mlops
#cloud computing
#vertex ai
#data management
#machine learning workflows
#reproducibility
#feature store
#inference
#scalable training
$29.00
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