This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
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Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Containerize ML workflows for reproducibility, reuse, and scalable training and inference on Google Cloud
Efficiently share, discover, and re-use ML features at scale while conducting reproducible ML experiments with Vertex AI Feature Store
Details to know
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Taught in English
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There are 4 modules in this course
Introduction to the course.
What's included
1 video
Vertex AI and its MLOps capabilities. Main challenges related to data and potential solutions to mitigate them.
What's included
3 videos
Key capabilities of Vertex AI Feature Store
What's included
4 videos1 app item
Summary of the course
What's included
1 video
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Google Cloud
Google Cloud
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