courseraПрограммирование

Orchestrate ML Workflows with Vertex AI Pipelines

Курс от Google Cloud

Средний≈ 4.1 чАнглийский

О курсе

Discover how to orchestrate ML workflows on Google Cloud. Explore the business drivers for orchestration and the technical architecture of Vertex AI Pipelines. Learn to create MLOps pipelines using a flexible, hybrid approach: utilize the no-code Template Gallery or construct custom workflows with the Kubeflow Pipelines (KFP) SDK and Google's pre-built components. Finally, accelerate your workflows using the Data Science Agent—an AI-powered collaborator that automates pipeline code generation.

Навыки, которые вы освоите

AI Workflows AI Orchestration MLOps (Machine Learning Operations)Prompt Engineering Forecasting Generative AI Agents Model Deployment Model Training Data Pipelines Automation Google Cloud Platform Agentic systems Agentic Workflows

Программа курса

6 модулей · 25 учебных материалов

01Introduction1 материалов

Course introductionВидео

02The Case for Orchestration5 материалов

Business Problems that Drive Orchestration Видео Why We Need ML Workflows Видео What Is ML Orchestration?Видео

Учитесь у экспертов

Google Cloud Training

Преподаватель курса