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 Specialization

Vertex AI Search for Retail Specialization

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.

Instructor: Google Cloud Training

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

4.6

(15 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

4.6

(15 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Tools you'll learn

Cloud Storage

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

Learn more about Coursera for Business

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from Google Cloud

Specialization - 4 course series

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.

Applied Learning Project

Serverless Data Processing with Dataflow: Foundations

Course 13 hours

What you'll learn

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 <<<

Skills you'll gain

Dataflow, Data Security, Identity and Access Management, Google Cloud Platform, Data Pipelines, Serverless Computing, Cloud Security, Data Processing, Containerization, Cloud Storage, and Data Storage Technologies

Vertex AI Search for Commerce

Course 25 hours

What you'll learn

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

Skills you'll gain

AI Personalization, Application Programming Interface (API), Data Modeling, Enterprise Architecture, MLOps (Machine Learning Operations), Data Integration, Real Time Data, System Monitoring, Data Quality, Continuous Monitoring, and Google Cloud Platform

Serverless Data Processing with Dataflow: Develop Pipelines

Course 325 hours

What you'll learn

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

Skills you'll gain

Dataflow, Data Pipelines, Data Processing, Data Transformation, Google Cloud Platform, Extract, Transform, Load, JSON, Real Time Data, SQL, and Jupyter

Serverless Data Processing with Dataflow: Operations

Course 49 hours

What you'll learn

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

Skills you'll gain

Dataflow, CI/CD, Unit Testing, Debugging, Performance Tuning, System Monitoring, Data Integrity, Google Cloud Platform, Data Processing, Issue Tracking, Data Pipelines, and Disaster Recovery