1Z0-184-25: Oracle AI Vector Search Professional

PASS 01 Agustus 2025
Race to
Certification 2025

OCI | AI | Multicloud | Data

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July 1 - October 31, 2025

Oracle AI Vector Search Fundamentals

Leverage the key capability of Oracle Database 23ai to design and manage Artificial Intelligence (AI) workloads using the new Oracle AI Vector Search feature. Learn how to create tables with vector data type, load data, and the query them based on semantics, rather than keywords. You will learn to perform semantic search on unstructured data by combining it with your relational data in one single system. With hands-on practices, you'll be be able to reinforce the learning of the new AI Vector Search feature and its capabilities.

Benefits to you

After completion this course, you should be able to:

• Describe AI Vector Search features, benefits, and capabilities

• Determine the AI Vector Search Workflow

• Run basic queries on vectors

• Create vector indexes to run similarity search

• Determine vector memory considerations

• Perform DML and DDL operations on vectors

• Create and find nearest vectors

• Narrow search results using attribute filtering

• Determine the closes vectors by using additional vector distance functions

• Perform additional vector operations, such as creating, converting, and describing vectors

Additional Information

• Cloud Family : Oracle Machine Learning (OML)

• Cloud Service : Exadata Cloud at Customer

• Role : Developer, Data Engineer

• Types : Course

• Solutions : AI Vector Search