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.

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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
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Recommended experience
(15 reviews)
Recommended experience
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
Overview
Skills you'll gain
- Performance Tuning
- MLOps (Machine Learning Operations)
- Dataflow
- Data Processing
- Google Cloud Platform
- Cloud Security
- Data Integration
- Identity and Access Management
- Serverless Computing
- Data Pipelines
- Cloud Computing
- Big Data
- Applied Machine Learning
- Data Visualization Software
- CI/CD
- Data Security
- Cloud Infrastructure
- Real Time Data
Tools you'll learn
What’s included

Add to your LinkedIn profile
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
What you'll learn
Skills you'll gain
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
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
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
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

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Frequently asked questions
8 weeks at 6 hours per week
Foundational level knowledge of BigQuery, Vertex, DataFlows, search design and retail online catalog data
No
More questions
Financial aid available,