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