Udemy

Oracle AI Vector Search - 1Z0-184-25 ( UPDATE APRIL 2025)

Enroll Now
  • 156 Students
  • Updated 5/2025
4.1
(26 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 0 Minute(s)
Language
English
Taught by
Giuseppe Amoruso
Rating
4.1
(26 Ratings)

Course Overview

Oracle AI Vector Search - 1Z0-184-25 ( UPDATE APRIL 2025)

How to pass exam 1Z0-184-25

Welcome! If you're aiming to pass the Oracle 1Z0-184-25 certification exam on AI Vector Search, you're in the right place.

This course is your complete guide to understanding and applying the core concepts behind Oracle Database 23ai, vector search, and generative AI integration. Whether you're a database professional, data scientist, AI developer, or just curious about the future of intelligent search, this course will equip you with the skills and confidence you need.

Through a combination of theory, hands-on practice, real-world scenarios, and curated exam-style questions, you will:

  • Learn how vector embeddings work and how they are stored and indexed in Oracle

  • Understand the differences between HNSW and IVF indexing methods

  • Explore Retrieval-Augmented Generation (RAG) and its implementation in Oracle

  • Master key SQL and PL/SQL functions for vector operations

  • Work with OCI Generative AI and understand the security model behind Select AI

  • Practice with over 60+ carefully crafted questions covering all exam domains

By the end of this course, you’ll not only be prepared to ace the 1Z0-184-25 exam, but also to implement cutting-edge AI search solutions in your own Oracle environments.

Let’s get started on your path to becoming an Oracle Certified Specialist in AI Vector Search! 

Good Luck

Course Content

  • 1 section(s)
  • Section 1 Practice Tests

What You’ll Learn

  • Understand and implement vector data type within Oracle Database 23ai.
  • Generate and store vector embeddings
  • Building Retrieval-Augmented Generation (RAG) applications with Oracle Database 23ai.
  • Utilizing Select AI and Autonomous Database for natural language querying

Skills covered in this course


Reviews

  • S
    Smita
    3.0

    Practice Test 1: 1Z0-184-25 Questions are repeated Below questions wrongly answered 1/62 You are tasked with finding the closest matching sentences across books, where each book has multiple paragraphs and sentences. Which SQL structure should you use? 42/62 If a query vector uses a different distance metric than the one used to create the index, what happens? Correct Answer - An exact match search is triggered 43/62 What is the correct order of steps for building a RAG application using PL/SQL in Oracle Database 23ai? Correct Answer - Load Document, Split Text into Chunks, Load ONNX Model, Create Embeddings, Vectorize Question, Perform Vector Search, Generate Output 58/62 Which of the following actions will result in an error when using VECTOR_DIMENSION_COUNT() in Oracle Database 23ai? Corect Answer - Using a vector with a data type that is not supported by the function

  • D
    Deysi Marín Velásquez
    5.0

    Las explicaciones en las pruebas ayudan a reforzar el conocimiento. Me sirvió mucho para la preparación. Logré la certificación!

  • D
    Daniele Bufalo
    4.5

    By the same teacher I took the APEX course. I am still preparing for certification and I find the use the explanations good. I hope he will add more questions, for now I am practicing

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed