Vertex AI - Pipelines for Your MLOps Workflows
Offered By: Devoxx via YouTube
Course Description
Overview
Explore Vertex AI Pipelines for MLOps workflows in this 45-minute conference talk from Devoxx. Discover how this managed unified ML platform streamlines machine learning solutions, tools, and workflows. Learn about the advantages of Vertex AI Pipelines for data scientists and engineers, including reduced infrastructure management overhead and improved developer experience. Examine practical examples demonstrating how Vertex AI Pipelines supports custom ML needs and result analysis. Gain insights into the platform's comprehensive machine learning workflow capabilities, covering data preparation, model training, hyperparameter tuning, validation, and deployment. Understand the benefits of Vertex AI's managed serverless toolkit, which eliminates the need for backend resource management. Delve into the platform's standard resources, ML metadata store, fully managed feature store, and pipeline runner to enhance your MLOps processes.
Syllabus
[VDZ22] Vertex AI: Pipelines for your MLOps workflows by Marton Kodok
Taught by
Devoxx
Related Courses
Machine Learning Operations (MLOps): Getting StartedGoogle Cloud via Coursera Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera Demystifying Machine Learning Operations (MLOps)
Pluralsight Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera