The Oracle AI Vector Search Professional Certification (1Z0-184-25) is designed for Oracle DBAs, AI engineers, and cloud developers seeking to harness the power of Oracle AI Database to build AI-driven applications. This certification bridges traditional database management with modern AI and machine learning technologies, enabling professionals to leverage Oracle AI Database capabilities for handling vector data, semantic search, and similarity searches.Learners will gain a comprehensive understanding of vector data storage, indexing, and generating embeddings, and learn to apply these skills in real-world AI applications. The course also covers advanced techniques such as Retrieval-Augmented Generation (RAG) applications, integrating PL/SQL and Python to maximize database-driven AI functionality. Candidates will explore Exadata AI Storage, Oracle GoldenGate, and Select AI to ensure efficient storage, replication, and query optimization for AI workloads.Aligned with the official exam objectives, this course emphasizes practical understanding of AI concepts applied within Oracle Database, including building and managing vector indexes, implementing similarity search pipelines, and optimizing AI-driven applications for performance and scalability. Practice questions are included to reinforce key concepts and assess readiness for the certification exam.By completing this course, candidates will be prepared to demonstrate their expertise in Oracle AI Database vector search capabilities and confidently attempt the 1Z0-184-25 Oracle AI Vector Search Professional certification exam, positioning themselves as proficient professionals capable of integrating AI into enterprise database environments.
What you'll learn
understanding vector data storage
building and managing vector indexes
implementing similarity search pipelines
optimizing AI-driven applications
Course objectives
prepare for the 1Z0-184-25 Oracle AI Vector Search Professional certification exam
apply PL/SQL and Python for enhanced database capabilities