Training Google Cloud

Training goals

code: GC-T-VAISCOM-I | version: 1.0

In this course you will explore Agent Search for commerce and how it can be used to improve customer experience. You will explore the core functionalities of Agent Search for commerce with a discussion on common use cases and solutions before implementing a basic search app in Agent Search for commerce. Afterwards, you will discuss how to manage data ingestion and quality for your search app, optimize recommendations with personalization, deploy your search app, monitor and analyze search performance, and discuss advanced features and general best practices.

 

What you'll learn:

  • Understand the core functionalities of Agent Search for commerce.
  • Explore use cases and solutions using Agent Search for commerce.
  • Implement data ingestion and quality pipelines for catalog and user event data.
  • Personalize search results and recommendations for customers.
  • Monitor search performance results.
  • Understand advanced features and best practices for Agent Search for commerce.
  • Configure and distinguish between search and browse functionalities to improve catalog exploration.
  • Configure serving configurations, controls, and query expansion to optimize search ranking and recall.
  • Implement dynamic faceting to enable users to refine and filter search results.

 

Audience

Search Engineers, Data Engineers, and Data Scientists who wish to learn how to understand the core functionalities of Agent Search for commerce.

 

Products

  • Agent Platform
  • Agent Search on Gemini Enterprise Agent Platform
  • AI Commerce Search on Gemini Enterprise for Customer Experience
  • Gemini Enterprise
  • BigQuery Studio
  • Retail Search
  • Agent Studio on Gemini Enterprise Agent Platform
  • Storage Insights
  • Dataflow Prime
  • Gemini
  • BigQuery
  • Cloud Storage
  • Dataflow

Conspect Show list

  • Module 1 - Introduction to Agent Search for Commerce
    • Topics:
      • Overview of Agent Search for commerce
      • Key concepts for Agent Search for commerce
      • Tour of Agent Search for commerce in the Cloud Console
      • Example use cases
    • Objectives:
      • Understand key concepts for Agent Search for commerce
      • Leverage Agent Search for commerce features and capabilities
      • Discover typical use cases for Agent Search for commerce
  • Module 2 - Data Ingestion
    • Topics:
      • Data ingestion pipelines
      • Data sources (Cloud Storage, BigQuery, Merchant Center)
      • Data transformations and pre-processing
    • Objectives:
      • Ingest product data into Agent Search for commerce using ETL pipelines
      • Track user events in real time
      • Manage ongoing updates to keep data fresh
    • Activities:
      • Lab: Performing data transformations and validation
  • Module 3 - Data Management
    • Topics:
      • More on data transformations and pre-processing
      • Working with product metadata and attributes
      • Data quality and consistent updates
    • Objectives:
      • Understand key product data structures for Agent Platform.
      • Identify essential attributes and their impact on AI performance.
      • Explore advanced data transformation techniques for catalogs.
      • Align product data with Google Cloud Retail schema for optimal results.
    • Activities:
      • Lab: Managing and updating product metadata
  • Module 4 - Search and Browse
    • Topics:
      • Data Quality
      • Search and Browse Functionality Deep Dive
      • Results Personalization
      • Optimization Controls
    • Objectives:
      • Distinguish search vs. browse functionalities
      • Understand search and browse performance tiers
      • Improve and maintain data quality
      • Describe ranking, optimization, and personalization
      • Identify key catalog and user event attributes
    • Activities:
      • Lab: Personalizing Search Results with Agent Search for commerce
  • Module 5 - Recommendations
    • Topics:
      • Recommendations Overview
      • Recommendation Models
      • Building a Recommendation Strategy
    • Objectives:
      • Distinguish between different recommendation models
      • Correlate page types with optimization objectives
      • Build a strategy for implementing recommendations
  • Module 6 - Deployment, Monitoring, and Testing
    • Topics:
      • Serving Configurations and Controls
      • A/B Testing and Experimentation
      • Analytics
      • Monitoring
    • Objectives:
      • Use serving configs and controls for model deployment
      • Validate deployment with previews
      • Monitor system health and metrics
      • Understand iterative optimization for Agent Search for commerce
  • Module 7 - Advanced Features
    • Topics:
      • Query Expansion
      • Faceting and Filtering
      • Boosting Search Results
      • Agent Search for commerce Integration with other Google Cloud Services
    • Objectives:
      • Use query expansion to improve search recall
      • Implement dynamic faceting to help users refine results
      • Apply boost controls to influence product ranking
      • Integrate Agent Search for commerce with other Google Cloud services
Download conspect training as PDF

Additional information

Prerequisites

"Modernizing Retail and Ecommerce Solutions with Google Cloud" or equivalent experience with Google Cloud
Difficulty level
Duration 2 days
Certificate

The participants will obtain certificates signed by Google Cloud (course completion).
Trainer

Authorized Google Cloud Trainer

Other training Google Cloud | Data Analytics

Google Cloud show more courses
Contact form

Please fill form below to obtain more info about this training.






* Fields marked with (*) are required !!!

Information on data processing by Compendium - Centrum Edukacyjne Spółka z o.o.

TRAINING PRICE FROM 1000 EUR

  • In order to propose a date for this training, please contact the Sales Department

Upcoming Google Cloud training

Training schedule
Google Cloud