MLOps with Vertex AI: Feature Management
Train, deploy & optimize ML models with Vertex AI Feature Store on Google Cloud - streamline feature management & boost model performance in production.
Train, deploy & optimize ML models with Vertex AI Feature Store on Google Cloud - streamline feature management & boost model performance in production.
This course covers MLOps tools and best practices for deploying, evaluating, monitoring, and operating production ML systems on Google Cloud. It focuses on MLOps, a discipline emphasizing the deployment, testing, monitoring, and automation of production ML systems. Participants will gain hands-on experience using Vertex AI Feature Store's streaming ingestion at the SDK layer. The course explores Vertex AI's MLOps capabilities, addressing key data challenges and their solutions. It delves into the main features of Vertex AI Feature Store, including its data model and overview. By the end, learners will be equipped with practical skills to manage features effectively in ML operations.
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What you'll learn
Understand the role of Vertex AI in MLOps workflows
Explore the key features and benefits of Vertex AI Feature Store
Learn to use streaming ingestion in Vertex AI Feature Store at the SDK layer
Gain practical experience in managing features for ML systems
Understand the data model of Vertex AI Feature Store
Learn best practices for deploying and monitoring ML systems in production
Skills you'll gain
This course includes:
33 Minutes PreRecorded video
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FullTime access
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There are 4 modules in this course
This course focuses on MLOps (Machine Learning Operations) with Google Cloud's Vertex AI, specifically emphasizing feature management. It covers tools and best practices for deploying, evaluating, monitoring, and operating production ML systems. The curriculum includes an overview of Vertex AI and its MLOps capabilities, addressing key data challenges in ML workflows. Participants will explore the Vertex AI Feature Store in depth, learning about its data model and main functionalities. The course includes hands-on practice with streaming ingestion using the SDK layer. By completing this course, learners will gain practical skills in managing features for ML systems, understanding how to effectively use Vertex AI Feature Store in production environments.
Machine Learning Operations (MLOps) with Vertex AI: Manage Features へようこそ
Module 1 · 2 Minutes to complete
Vertex AI Feature Store の概要
Module 2 · 9 Minutes to complete
Machine Learning Operations (MLOps) with Vertex AI: Manage Features の詳細
Module 3 · 1 Hours to complete
まとめ
Module 4 · 2 Minutes to complete
Fee Structure
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Instructor
Empowering Businesses with Expert Training from Google Cloud
The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.
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