Course
digicode: VAISCO
Introduction to Agent Search for Commerce
Course facts
Download as PDF- Understanding the core functionalities of Agent Search for commerce
- Exploring use cases and solutions using Agent Search for commerce
- Implementing data ingestion and quality pipelines for catalog and user event data
- Personalizing search results and recommendations for customers
- Monitoring search performance results
- Understanding advanced features and best practices for Agent Search for commerce
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.
1 Introduction to Agent Search for Commerce
- 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
- 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
- Lab: Getting Started with Agent Search for commerce
2 Data Ingestion
- Data ingestion pipelines
- Data sources (Cloud Storage, BigQuery, Merchant Center)
- Data transformations and pre-processing
- Ingest product data into Agent Search for commerce using ETL pipelines
- Track user events in real time
- Manage ongoing updates to keep data fresh
- Lab: Performing data transformations and validation
3 Data Management
- More on data transformations and pre-processing
- Working with product metadata and attributes
- Data quality and consistent updates
- 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
- Lab: Managing and updating product metadata
4 Search and Browse
- Data Quality
- Search and Browse Functionality Deep Dive
- Results Personalization
- Optimization Controls
- 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
- Lab: Personalizing Search Results with Agent Search for commerce
5 Recommendations
- Recommendations Overview
- Recommendation Models
- Building a Recommendation Strategy
- Distinguish between different recommendation models
- Correlate page types with optimization objectives
- Build a strategy for implementing recommendations
Search Engineers, Data Engineers, and Data Scientists who wish to learn how to understand the core functionalities of Agent Search for commerce.
We recommend having taken Modernizing Retail and Ecommerce Solutions with Google Cloud or equivalent knowledge.
Products:
- Vertex AI
- Agent Platform
- Agent Search
- Vertex AI Search
- Gemini
- BigQuery
- Cloud Storage
- Dataflow