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Oracle AI Database: AI Vector Search Training

The Oracle AI Database: AI Vector Search Training equips data engineers and AI developers with skills to implement vector similarity searches, manage embeddings, and optimize AI-driven queries in Oracle Database 23ai. As 75% of enterprises now adopt AI-enhanced databases (Gartner, 2024), this course solves the critical challenge of retrieving semantically meaningful data at scale. Learners gain hands-on experience with HNSW and IVF indexing, vector distance metrics, and integration with OCI Generative AI.

This course prepares for the Oracle AI Vector Search Certified Professional credential, featuring official Oracle University curriculum. Koenig’s Guaranteed-to-Run scheduling ensures timely access to 30-day lab extensions, enabling mastery of RAG workflows and Select AI. Graduates can confidently design production-grade AI applications leveraging Oracle’s native vector database capabilities.

32 Hours (4 Days)
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Course Overview

The Oracle AI Database: AI Vector Search Training (Course Code D1112667GC10) is a specialized program by Oracle designed for database administrators, AI engineers, and cloud developers aiming to master semantic and similarity-based data querying. This course prepares candidates for the Oracle AI Vector Search Professional Certification (Exam 1Z0-184-25), focusing on core competencies such as vector data types, similarity search, and Retrieval-Augmented Generation (RAG) workflows. With over 70% of enterprises now integrating AI-driven search capabilities into their data platforms, this training equips professionals with in-demand skills to meet growing industry needs. Ideal for those with foundational knowledge in Python and AI/ML concepts, the course bridges traditional database management with cutting-edge artificial intelligence applications.

Participants engage with key Oracle technologies including Oracle Autonomous Database 26ai, ONNX runtime, Exadata AI Storage, GoldenGate, and Select AI. The hands-on lab environment is delivered through Oracle LiveLabs, where students configure vector indexes, import embedding models in ONNX format, and execute similarity searches using real-world datasets from the US National Parks. A capstone project involves building a functional RAG application integrated with Oracle APEX, enabling natural language queries against private data. Students also gain experience generating vector embeddings both inside and outside the database, creating vectorized tables, and leveraging Exadata’s intelligent storage offload for accelerated performance—mirroring actual deployment scenarios in enterprise environments.

This training directly prepares learners for the Oracle AI Vector Search Professional Certification, a recognized credential that validates expertise in AI-enhanced database systems. Certified professionals report an average salary increase of 20% and greater eligibility for roles in AI integration and database innovation. Koenig Solutions enhances this learning path with Guaranteed-to-Run scheduling, 1-on-1 instructor support, and official Oracle courseware, ensuring a structured and reliable certification journey. Upon completion, participants are positioned to lead AI-driven database initiatives, enabling organizations to unlock deeper insights through semantic search and real-time data augmentation.

What You'll Learn

Configure Oracle AI Vector Search workflows to automate and streamline AI search processes within Oracle Database 23ai.
Generate high-quality vector embeddings directly within Oracle Database 23ai to facilitate accurate AI-powered search results.
Implement efficient similarity searches using Oracle AI Vector Search to retrieve relevant data with low latency.
Create and manage specialized vector indexes within Oracle Database to optimize search performance and system scalability.
Optimize vector queries by applying attribute filtering and distance functions to increase precision and reduce execution times.
Integrate LLMs with private business data using RAG patterns and Oracle AI Vector Search to build intelligent, real-time AI solutions.

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in SQL and relational database concepts, including DML and DDL operations within Oracle Database.
  • Access to an Oracle Database 23ai environment, which is the minimum version required to support AI Vector Search features.
  • Understanding of vector data types and distance metrics, specifically Euclidean distance, Cosine similarity, and Dot product.
  • Foundational knowledge of AI and machine learning concepts, including embeddings, vector indexing, and similarity search techniques.
  • Experience working with JSON and relational data structures in hybrid database environments.
  • Completion of Oracle AI Vector Search Fundamentals or an equivalent foundational training course.
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Certification Exam

Everything you need to know about the D1112667GC10 certification exam

Exam Details
Exam Name
D1112667GC10
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Please visit the official Oracle University course page for the most current certification paths and training updates: https://education.oracle.com/
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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of D1112667GC10 certified professionals report career advancement within 6 months

Salary Impact

+25%

Average salary increase reported after obtaining the D1112667GC10 certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Oracle Database Administrator (AI Specialization)
  • AI/ML Engineer
  • Data Engineer (Vector Search)
  • Cloud Application Developer (Oracle AI)
  • AI Database Specialist
  • Vector Database Engineer

Companies Hiring

5,000+
Oracle Accenture Deloitte Capgemini TCS Infosys JPMorgan Chase Munich Re Rappi IBM

and 5,000+ organizations worldwide seeking D1112667GC10 certified professionals

Real Transformations

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    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

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    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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    Business Intelligence Lead

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the D1112667GC10 training course

Is the certification exam included in the Oracle AI Database: AI Vector Search Training course, and what is the exam cost?
The certification exam is not included in the Oracle AI Database: AI Vector Search Training course fee. However, Oracle currently provides a free exam attempt until May 15, 2025. Standard pricing for the Oracle AI Vector Search Certified Professional exam (1Z0-184-25) is $245 USD. You must register separately via Pearson VUE or Oracle University.
What training formats are available for the Oracle AI Database: AI Vector Search Training, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig provides the Oracle AI Database: AI Vector Search Training through live online instructor-led sessions, 1-on-1 coaching, and classroom delivery. We offer Guaranteed-to-Run scheduling, ensuring your course proceeds as planned regardless of enrollment numbers. This curriculum aligns with official Oracle standards, featuring intensive hands-on labs tailored for global professional development.
How long is lab access provided, and what type of environment is used for the Oracle AI Database: AI Vector Search Training?
Learners receive 30 days of lab access starting from the course date. We utilize Oracle Cloud-hosted sandbox environments for the Oracle AI Database: AI Vector Search Training. These secure, cloud-based labs enable you to practice vector indexing, RAG implementations, and Oracle Database 23ai workflows from any location with a stable internet connection.
What is Koenig's rescheduling and cancellation policy for this Oracle training course?
Koenig permits free rescheduling for the Oracle AI Database: AI Vector Search Training with at least 7 days' notice. Cancellations made beyond 7 days incur no fees, while requests within 7 days may trigger a 15% administrative charge. You may reschedule once within the 7-day window at no additional cost.
What is the format, number of questions, passing score, and time limit for the Oracle AI Vector Search certification exam?
The Oracle AI Vector Search Certified Professional exam (1Z0-184-25) features 50 multiple-choice questions. You have 90 minutes to achieve a passing score of 68%. The exam validates your expertise in vector fundamentals, similarity search, embeddings, and RAG solutions within Oracle Database 23ai, available globally through Pearson VUE.
How long is the Oracle AI Vector Search certification valid, and what is the renewal process and cost?
Your Oracle AI Vector Search Certified Professional credential remains valid for 24 months. To maintain certification, you must pass the latest exam version before expiration, as there is no grace period. Renewal costs $245, unless specific promotional offers apply, and must be processed according to official Oracle recertification guidelines.
What post-training support does Koenig provide after completing the Oracle AI Database: AI Vector Search Training?
Koenig offers 6 months of dedicated post-training mentorship for the Oracle AI Database: AI Vector Search Training. This includes email and chat support for technical questions, access to recorded sessions, and updated lab guides. We also provide discounted exam retake options to ensure your long-term certification success.
What are the prerequisites or prior experience needed for the Oracle AI Database: AI Vector Search Training?
Participants should possess foundational SQL skills, Oracle Database knowledge, and familiarity with Python and AI/ML concepts. While prior vector database experience is not required, background in data science or database administration is beneficial. This course is ideal for DBAs, developers, and AI engineers building enterprise-grade AI applications.
What career benefits and salary impact can one expect after earning the Oracle AI Vector Search certification?
Earning the Oracle AI Vector Search certification can boost salaries by 15–25%, with typical earnings between $95,000 and $130,000 for roles like Data Architect. This credential proves your mastery of semantic search and RAG, skills currently in high demand across the healthcare, finance, and technology sectors.
How does instructor-led training compare to self-study for the Oracle AI Database: AI Vector Search Certification?
Instructor-led training for the Oracle AI Database: AI Vector Search Training offers real-time expert guidance, significantly improving exam success rates over self-study. Koenig’s approach includes curated materials and practice exams, which can reduce your preparation time by up to 40% while ensuring complete mastery of all 1Z0-184-25 objectives.
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