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
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
This course is part of Machine Learning Operations (MLOps) on Google Cloud Specialization
Instructor: Google Cloud Training
Access provided by HAECO Americas
2,462 already enrolled
Gain insight into a topic and learn the fundamentals.
15 reviews
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
Skills you'll gain
Tools you'll learn
Details to know
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Taught in English
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This course is part of the Machine Learning Operations (MLOps) on Google Cloud Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 4 modules in this course
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