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

Instructor: Google Cloud Training
2,035 already enrolled
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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
Skills you'll gain
Details to know

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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

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Coursera Instructor Network
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Duke University
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