In a groundbreaking move, ORACLE, one of the world’s leading technology companies, has announced the launch of a free certification course worth $245 for aspiring professionals in 2025. This initiative is designed to empower individuals with cutting-edge skills in Artificial Intelligence (AI) and Cloud Computing, two of the most in-demand fields in the tech industry. Whether you’re a student, a working professional, or someone looking to switch careers, this is your chance to gain industry-recognized certifications without spending a dime.
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About the ORACLE Free Certification Course
The Oracle AI Vector Search Professional Certification is designed for Oracle DBAs, AI engineers, and cloud developers to unlock the potential of Oracle Database 23ai to build AI-driven applications. The target candidate for this certification should have basic familiarity in Python and AI/ML concepts. This certification bridges the gap between traditional database management and cutting-edge AI technologies by focusing on leveraging Oracle Database 23ai capabilities for handling vector data and enabling semantic and similarity searches.
Through in-depth training, candidates will master techniques like vector data storage, indexing, and generating and storing embeddings, alongside advanced applications such as building Retrieval-Augmented Generation (RAG) applications using PL/SQL and Python. With insights into Exadata AI Storage, Oracle GoldenGate, and Select AI, this certification prepares professionals to integrate and optimize AI in enterprise-level databases seamlessly.
What You’ll Learn in Free Certification Course
By completing the learning path, you’ll gain mastery in:
Building RAG applications with Oracle AI Vector Search.
Generating vector embeddings both inside and outside Oracle Database 23ai.
Designing and executing vector similarity searches.
Creating and managing vector indexes for high-performance searches.
Managing vector datasets with ease.
Using Exadata, GoldenGate, and Data Pump for AI-driven workflows.
Querying private data with natural language through Select AI.
Learning Path Overview
The Oracle AI Vector Search Professional Certification Learning Path includes three expertly designed courses:
Oracle AI Vector Search Fundamentals: Start here to build a solid foundation in vector data types, DML and DDL operations, vector distance functions, and related concepts. This course is ideal if you are new to Oracle AI Vector Search.
Oracle AI Vector Search Deep-Dive: Dive deeper into embedding models, Retrieval-Augmented Generation (RAG) workflows, and the integration of Oracle AI Vector Search with OCI Generative AI service. In this course, you can also learn more about AI capabilities in Exadata, GoldenGate, and Data Pump. Complete the Fundamentals course before tackling this one.
Autonomous Database Select AI: This final course focuses on leveraging Select AI for natural language interactions with your private data. Learn how to use Select AI + RAG effectively and maximize the potential of Oracle Autonomous Database.
Certification Exam Details
After completing the learning path, you’ll have the opportunity to validate your skills with a professional-level certification exam. This 90-minute test includes 50 questions and requires a passing score of 68%. The exam covers the following objectives:
| Exam Objectives | % of Exam |
| Understanding Vector Fundamentals | 20% |
| Using Vector Indexes | 15% |
| Performing Similarity Search | 15% |
| Using Vector Embeddings | 15% |
| Building a Retrieval Augmented Generation (RAG) solution | 25% |
| Leveraging related AI capabilities | 10% |
To help you succeed, we provide skill checks throughout the courses and a free practice exam modeled on the actual certification test.
Skills you will learn
Building Retrieval-Augmented Generation (RAG) applications with Oracle Database 23ai.
Generating vector embeddings both inside and outside Oracle database 23ai.
Designing and executing vector similarity searches.
Creating and managing HNSW and IVF vector indexes for optimized search performance.
Leveraging Exadata and GoldenGate for enhanced AI processing and vector search acceleration.
Loading, unloading, and managing vector datasets effectively.
Utilizing Select AI and Autonomous Database for natural language querying.
Pre-requisites
Basic familiarity with Python programming.
Basic understanding of Generative AI concepts.
Foundational knowledge of Oracle database management.
How To Apply?
If you are an Interested Candidate, you can apply for the ORACLE Launched Free Certification Course worth $245 | 100% Free AI & Cloud Certificates in 2025. Click Here.
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