How long does it take to complete the Specialization?

<text variant="body1">8 weeks at 6 hours per week

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

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.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Vertex AI Search for Retail 专项课程

Vertex AI Search for Retail 专项课程

Optimizing your retail search capabilities. Learn to implement, configure and use Vertex AI Search for Retail along with the data skills needed to bring it all together.

位教师：Google Cloud Training

包含在 Coursera Plus 中

了解更多

4 门课程系列

深入学习学科知识

4.6

（15 条评论）

初级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4 门课程系列

深入学习学科知识

4.6

（15 条评论）

初级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

You will gain skills in optimizing your retail search capabilities with Vertex AI Search for Retail
You will implement, configure and use Vertex AI Search for Retail along with the data skills needed to bring it all together

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

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

精进特定领域的专业知识

向大学和行业专家学习热门技能
借助实践项目精通一门科目或一个工具
培养对关键概念的深入理解
通过 Google Cloud 获得职业证书

专业化 - 4门课程系列

This learning path will showcase the skills needed to build dataflows, initial machine learning patterns and utilization of Vertex AI Search for Retail in pursuit of increased retail search potential. The learning path includes courses and labs that will let a learner work in the data space surrounding Vertex AI Search for Retail and then get hands on to practice with the product itself.

应用的学习项目

Serverless Data Processing with Dataflow: Foundations

第 1 门课程3小时

您将学到什么

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.

Prerequisites: The Serverless Data Processing with Dataflow course series builds on the concepts covered in the Data Engineering specialization. We recommend the following prerequisite courses: (i)Building batch data pipelines on Google Cloud : covers core Dataflow principles (ii)Building Resilient Streaming Analytics Systems on Google Cloud : covers streaming basics concepts like windowing, triggers, and watermarks >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

您将获得的技能

类别：Dataflow

类别：Data Security

类别：Identity and Access Management

类别：Data Pipelines

类别：Cloud Security

类别：Serverless Computing

类别：Google Cloud Platform

类别：Containerization

类别：Cloud Storage

类别：Data Processing

类别：Data Storage Technologies

Vertex AI Search for Commerce

第 2 门课程5小时

您将学到什么

Describe the Vertail AI Search for Commerce workflow
Gain hands on experience with Vertail AI Search for Commerce
Identify product catalog data and user event data sources
Evaluate and select an appropriate data ingestion method

您将获得的技能

类别：AI Personalization

类别：Data Integration

类别：Enterprise Architecture

类别：Google Cloud Platform

类别：Continuous Monitoring

类别：System Monitoring

类别：Real Time Data

类别：Data Quality

类别：MLOps (Machine Learning Operations)

类别：Data Modeling

类别：Application Programming Interface (API)

Serverless Data Processing with Dataflow: Develop Pipelines

第 3 门课程25小时

您将学到什么

Review the main Apache Beam concepts covered in the Data Engineering on Google Cloud course
Review core streaming concepts covered in DE (unbounded PCollections, windows, watermarks, and triggers)
Select & tune the I/O of your choice for your Dataflow pipeline
Use schemas to simplify your Beam code & improve the performance of your pipeline

您将获得的技能

类别：Dataflow

类别：Data Pipelines

类别：Data Processing

类别：Real Time Data

类别：Data Transformation

类别：SQL

类别：Extract, Transform, Load

类别：JSON

类别：Jupyter

类别：Google Cloud Platform

Serverless Data Processing with Dataflow: Operations

第 4 门课程9小时

您将学到什么

Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.
Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform