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If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Orchestrate ML Workflows with Vertex AI Pipelines

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Orchestrate ML Workflows with Vertex AI Pipelines

位教师：Google Cloud Training

包含在中

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6个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

4 小时完成

灵活的计划

自行安排学习进度

6个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Explain the use cases that drive the adoption of ML Orchestration.
Describe how Vertex AI drives MLOps automation, reproducibility, and scaling.
Implement production-grade pipelines using Vertex AI’s no-code Template Gallery.
Build hybrid pipeline workflows with Kubeflow and pre-built GCP components.

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有6个模块

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.

This lesson guides learners through the course structure, which is built upon the transition from ad-hoc experimentation to robust, production-grade systems using Vertex AI Pipelines . It outlines the strategies for ML orchestration—ranging from no-code to hybrid pipelines—and introduces learners to the Data Science Agent for accelerating the automation of complex, deployable workflows .

涵盖的内容

1个视频

Examine the operational bottlenecks complex ML processes and determine the need for automated reproducible workflows orchestration.

涵盖的内容

4个视频1个作业

Explore Vertex AI and the core mechanics of ML pipelines, including compilers, DAGs, runners, artifact passing, and metadata lineage.

涵盖的内容

4个视频1个作业

Optimize ML workflows using the "Hybrid" pipeline strategy. Evaluate specific workflow requirements to determine the balance between using Google’s validated Pre-built Component and creating custom Lightweight Python Components for proprietary logic.

涵盖的内容

4个视频1个作业1个应用程序项目1个插件

4个视频总计22分钟

Using Google’s Pre-Built Components7分钟
Building KFP Lightweight Components7分钟
Optimize Your Workflow: The Hybrid Approach5分钟
Summary3分钟

1个作业总计6分钟

Quiz-36分钟

1个应用程序项目总计60分钟

Lab: Building End to End MLOps Pipelines using Vertex AI60分钟

1个插件总计15分钟

Accessing and completing labs15分钟

Leverage the Data Science Agent to automate code generation and troubleshoot architectural errors using the Context-Task-Constraint (CTC) prompt engineering framework.

涵盖的内容

3个视频1个作业1个应用程序项目

This lesson summarizes the course by addressing the transition from ad-hoc notebooks to robust, production-grade systems using Vertex AI Pipelines . It reviews the core concepts of ML Orchestration and Hybrid Pipelines, highlights tools like Google's pre-built components and the Kubeflow SDK, and recaps technologies such as the Data Science Agent for automating complex challenges like media sales forecasting and customer churn prediction .

涵盖的内容

1个视频1篇阅读材料

位教师

Google Cloud Training

Google Cloud

2,124 门课程4,099,362 名学生

提供方

Google Cloud

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常见问题

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.