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.
artificial intelligence,machine learning,machine learning operations,ai & machine learning
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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