Google Cloud
Vertex AI Search for Retail Specialization

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Google Cloud

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.

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4.9

(6 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.9

(6 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

Details to know

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Taught in English
Recently updated!

August 2024

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Specialization - 5 course series

Google Cloud Big Data and Machine Learning Fundamentals

Course 19 hours4.7 (16,121 ratings)

What you'll learn

  • Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.

  • Design streaming pipelines with Dataflow and Pub/Sub and dDesign streaming pipelines with Dataflow and Pub/Sub.

  • Identify different options to build machine learning solutions on Google Cloud.

  • Describe a machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.

Skills you'll gain

Category: Tensorflow
Category: Bigquery
Category: Google Cloud Platform
Category: Cloud Computing

Serverless Data Processing with Dataflow: Foundations

Course 23 hours4.2 (81 ratings)

What you'll learn

What you'll learn

  • Describe the Vertex AI Search for Retail workflow

  • Gain hands on experience with Vertex AI Search for Retail

  • Gain an understanding of models and processes with Vertex AI Search for Retail

  • Monitor and troubleshoot common deployment patterns

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

Serverless Data Processing with Dataflow: Operations

Course 59 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

Instructor

Google Cloud Training
Google Cloud
1,664 Courses2,750,269 learners

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Google Cloud

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