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.

Spezialisierung für Vertex AI Search for Retail

Bald zu Ende: Erwerben Sie mit Coursera Plus für 199 $ (regulär 399 $) das nächste Level. Jetzt sparen.

Spezialisierung für Vertex AI Search for Retail

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.

Dozent: Google Cloud Training

Bei enthalten

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4-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

4.7

(15 Bewertungen)

Stufe Anfänger

Empfohlene Erfahrung

4 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

Kategorie: Data Infrastructure
Kategorie: Advanced Analytics
Kategorie: Scalability
Kategorie: Serverless Computing
Kategorie: Data Integration
Kategorie: AI Enablement
Kategorie: Big Data
Kategorie: Data Migration
Kategorie: Data Storage
Kategorie: Data Processing
Kategorie: AI Personalization
Kategorie: Google Cloud Platform
Kategorie: Identity and Access Management
Kategorie: Data Pipelines
Kategorie: Data Integrity
Kategorie: Dataflow

Werkzeuge, die Sie lernen werden

Kategorie: Data Lakes
Kategorie: Cloud Storage
Kategorie: Apache Hadoop
Kategorie: Tensorflow

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Unterrichtet in Englisch

Kürzlich aktualisiert!

September 2025

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

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Erweitern Sie Ihre Fachkenntnisse.

Erlernen Sie gefragte Kompetenzen von Universitäten und Branchenexperten.
Erlernen Sie ein Thema oder ein Tool mit echten Projekten.
Entwickeln Sie ein fundiertes Verständnisse der Kernkonzepte.
Erwerben Sie ein Karrierezertifikat von Google Cloud.

Spezialisierung - 4 Kursreihen

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.

Praktisches Lernprojekt

Serverless Data Processing with Dataflow: Foundations

KURS 13 Stunden

Was Sie lernen werden

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 <<<

Kompetenzen, die Sie erwerben

Kategorie: Dataflow

Kategorie: Identity and Access Management

Kategorie: Interoperability

Kategorie: Cloud Security

Kategorie: Data Processing

Kategorie: Data Pipelines

Kategorie: Cloud Computing

Kategorie: Serverless Computing

Kategorie: Data Infrastructure

Kategorie: Containerization

Kategorie: Data Storage Technologies

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KURS 25 Stunden

Was Sie lernen werden

Describe the Vertail AI Search for Commerce workflow
Gain hands on experience with Vertail AI Search for Commerce
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Kompetenzen, die Sie erwerben

Kategorie: Data Integration

Kategorie: AI Personalization

Kategorie: Model Deployment

Kategorie: Data Modeling

Kategorie: System Monitoring

Kategorie: Restful API

Kategorie: Performance Measurement

Kategorie: Cloud Management

Kategorie: Google Cloud Platform

Kategorie: MLOps (Machine Learning Operations)

Kategorie: AI Enablement

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Was Sie lernen werden

Review the main Apache Beam concepts covered in the Data Engineering on Google Cloud course
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Select & tune the I/O of your choice for your Dataflow pipeline
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Kompetenzen, die Sie erwerben

Kategorie: Dataflow

Kategorie: JSON

Kategorie: Data Pipelines

Kategorie: Data Transformation

Kategorie: Data Processing

Kategorie: SQL

Kategorie: Performance Tuning

Kategorie: Real Time Data

Kategorie: File I/O

Kategorie: Jupyter

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KURS 49 Stunden

Was Sie lernen werden

Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.
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