When will I receive my Course Certificate?

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

4 days left! Grow your skills with Coursera Plus for $239/year (usually $399). Save now.

Orchestrate ML Workflows with Vertex AI Pipelines

This course is part of Machine Learning Operations (MLOps) on Google Cloud Specialization

Instructor: Google Cloud Training

Included with

Learn more

6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Machine Learning Operations (MLOps) on Google Cloud Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 6 modules in this course

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 .

What's included

1 video

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

What's included

4 videos1 assignment

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

What's included

4 videos1 assignment

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.

What's included

4 videos1 assignment1 app item1 plugin

4 videosTotal 22 minutes

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

1 assignmentTotal 6 minutes

Quiz-36 minutes

1 app itemTotal 60 minutes

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

1 pluginTotal 15 minutes

Accessing and completing labs15 minutes

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

What's included

3 videos1 assignment1 app item

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 .

What's included

1 video1 reading

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google Cloud Training

Google Cloud

2,152 Courses4,153,303 learners

Offered by

Google Cloud

Explore more from Software Development

Google Cloud
Vertex Pipelines: Qwik Start
Project
Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Course
Google Cloud
Orchestrating a TFX Pipeline with Airflow
Project
Status: Free Trial
Coursera
Orchestrate, Analyze, and Evaluate ML Pipelines
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

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.

Orchestrate ML Workflows with Vertex AI Pipelines

Orchestrate ML Workflows with Vertex AI Pipelines

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise

There are 6 modules in this course

Introduction

What's included

The Case for Orchestration

What's included

Introduction to Vertex AI Pipelines

What's included

Authoring Pipelines

What's included

The Data Science Agent

What's included

Course Summary and Next Steps

What's included

Earn a career certificate

Instructor

Offered by

Explore more from Software Development

Vertex Pipelines: Qwik Start

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Orchestrating a TFX Pipeline with Airflow

Orchestrate, Analyze, and Evaluate ML Pipelines

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

Can I preview a course before enrolling?

When will I have access to the lectures and assignments?

What will I get when I enroll?

More questions