Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
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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.
Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.
Course Info
Objectives
- 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.
Prerequisites
- Proficiency with Python on topics covered in the Crash Course on Python.
- Prior experience with foundational machine learning concepts and building machine learning solutions on Google Cloud as covered in the Machine Learning on Google Cloud course.
Audience
Intermediate
Available languages
English ، español (Latinoamérica) ، français ، 日本語 ، 한국어 و português (Brasil)