Ai & Machine Learning

MLOps with Vertex AI: Manage Features

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Coursera

The implementation of scalable, replicable machine learning processes and the use of Vertex AI for efficient feature management will be demonstrated to participants.

Key AI Functions:artificial intelligence,machine learning,machine learning operations,ai & machine learning

Description for MLOps with Vertex AI: Manage Features

Features of the Course:

  • Containerized Machine Learning Workflows: Master the containerization of machine learning workflows to enhance reproducibility, reusability, and scalability in both training and inference.

  • MLOps for Operational Machine Learning Systems: Comprehend fundamental MLOps methodologies for the deployment, testing, monitoring, and automation of machine learning systems in production settings.

  • Scalable Feature Administration: Acquire expertise in the effective sharing, discovery, and reuse of machine learning features at scale via Vertex AI Feature Store.

  • Replicable Machine Learning Experiments: Execute reproducible machine learning experiments via Vertex AI, promoting effective cooperation and feature oversight.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud

Duration: 2 hours to complete

Schedule: Flexible

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