What you will learn in Vertex AI Search for Retail Specialization Course
-
Implement and configure Vertex AI Search for Retail to enhance retail search capabilities.
-
Build data pipelines using Apache Beam and Dataflow for efficient data processing.
-
Ingest and manage product catalog and user event data for search and recommendation models.
-
Design and deploy machine learning models tailored for retail search applications.
Program Overview
Serverless Data Processing with Dataflow: Foundations
⏳ 3 hours
-
Introduction to Apache Beam and its integration with Dataflow.
-
Understanding the Beam Portability framework and its benefits.
-
Implementing security models within Dataflow pipelines.
Vertex AI Search for Commerce
⏳ 5 hours
-
Overview of the Vertex AI Search for Commerce workflow.
-
Hands-on experience with data ingestion methods for product catalogs and user events.
-
Evaluation and selection of appropriate data ingestion strategies.
Serverless Data Processing with Dataflow: Develop Pipelines
⏳ 27 hours
-
Review of core streaming concepts and Apache Beam principles.
-
Selection and tuning of I/O for Dataflow pipelines.
-
Utilization of schemas to enhance Beam code performance.
Serverless Data Processing with Dataflow: Operations
⏳ 9 hours
-
Monitoring, troubleshooting, and testing of Dataflow pipelines.
-
Deployment strategies to ensure pipeline stability and reliability.
-
Implementation of CI/CD practices for Dataflow pipelines.
Get certificate
Job Outlook
- Proficiency in Vertex AI Search for Retail is valuable for roles such as Machine Learning Engineer, Data Engineer, and Retail Solutions Architect.
- Skills acquired in this specialization are applicable across various industries, especially in e-commerce and retail sectors.
- Completing this specialization can enhance your qualifications for positions that require expertise in building and deploying AI-driven retail search solutions.
