Introduction
Building AI-powered retail search and recommendations
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1. Overview and Data Ingestion
End-to-end workflow and API setup
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Data preparation and ingestion demo
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Identifying data sources and data requirements
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Data ingestion methods
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2. Recommendation Models
Demo: Building your first recommendations model
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Understanding recommendations from AI models
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3. Deploying Models and Customizing Search Results
Demo: Configuring and previewing recommendations and search
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Understanding serving configurations and controls
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4. Performance Monitoring and Optimization
Interpreting key performance metrics
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Configuring alerts: Applying optimization best practices
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Conclusion
Further learning
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Ex_Files_AI_Powered_Retail_Search.zip
(3.5 MB)