PASS 01 Agustus 2025Race toCertification 2025OCI | AI | Multicloud | DataGet certified for freeJuly 1 - October 31, 2025Oracle AI Vector Search FundamentalsLeverage 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 youAfter completion this course, you should be able to:Describe AI Vector Search features, benefits, and capabilitiesDetermine the AI Vector Search WorkflowRun basic queries on vectorsCreate vector indexes to run similarity searchDetermine vector memory considerationsPerform DML and DDL operations on vectorsCreate and find nearest vectorsNarrow search results using attribute filteringDetermine the closes vectors by using additional vector distance functionsPerform additional vector operations, such as creating, converting, and describing vectorsAdditional InformationCloud Family : Oracle Machine Learning (OML)Cloud Service : Exadata Cloud at CustomerRole : Developer, Data EngineerTypes : CourseSolutions : AI Vector Search
What you'll learn
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
Course objectives
Understand the workflow of AI Vector Search
Gain hands-on experience with creating and querying vector data