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

Access provided by Coursera Learning Team

4 course series

Get in-depth knowledge of a subject

4.7

(10 reviews)

Beginner level

Recommended experience

1 month

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

4.7

(10 reviews)

Beginner level

Recommended experience

1 month

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

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Taught in English

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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 hours4.2 (87 ratings)

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

Category: Cloud Computing

Category: Google Cloud Platform

Category: Computer Architecture

Category: Distributed Computing Architecture

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

Serverless Data Processing with Dataflow: Develop Pipelines

Course 327 hours4.0 (40 ratings)

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

Category: Big Data

Category: Data Management

Category: Google Cloud Platform

Serverless Data Processing with Dataflow: Operations

Course 49 hours3.6 (17 ratings)

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