Oracle Database 23ai Training Course

FAQ – Frequently asked questions about Oracle Database 23ai What is Oracle Database 23ai?

Oracle Database 23ai is the Long Term Support (LTS) release of the Oracle database, with native vector AI: vector storage (VECTOR type), semantic search via AI Vector Search, and integration with LLMs and RAG directly in the database. It also adds JSON Relational Duality Views, native SQL/PGQ Property Graph, and many SQL and performance improvements. MFE-IT trains you over 4 days (28h) on these new features.

What is the difference between Oracle 23ai and previous versions (19c, 21c)?

Oracle 19c is the historic LTS release, still massively deployed. Oracle 21c was an Innovation Release with limited support. Oracle 23ai is the new LTS (supported until 2032+) and brings a revolution: AI Vector Search (built-in semantic search), JSON Relational Duality, standard SQL/PGQ Property Graph, True Cache, and major security and performance improvements.

What is AI Vector Search in Oracle 23ai?

AI Vector Search is the Oracle 23ai feature that lets you store vectors (embeddings) directly in the database and run semantic search in SQL with the VECTOR_DISTANCE operator. It makes it easy to build RAG architectures without moving your data to a third-party vector database. MFE-IT trains you on IVF/HNSW indexing and integration with LLMs.

How long is the Oracle Database 23ai training?

The MFE-IT training lasts 4 days (28 hours), in a fully tailored format with a maximum of 3 participants per session. It covers: new SQL and PL/SQL features, AI Vector Search, JSON Relational Duality, Property Graph, advanced administration, security, backup/recovery and performance tuning. 30 days of post-training support to help with your migration.

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Good to know

Our sessions are guaranteed from a single registrant, with no risk of postponement (except in cases of force majeure). A preliminary interview takes place between the participant and/or a company representative in order to properly account for the participant’s profile (level, needs, professional context, challenges, etc.).

Assessment: during the training, the trainer assesses participants’ progress through quizzes, role-plays and practical work. Participants receive a certificate of completion at the end of the training.

Objectives of the Oracle Database 23ai Training Course

By the end of the training, the participant will be able to:

• Understand the advanced architecture of Oracle Database 23ai.
• Administer multitenant (CDB / PDB) environments.
• Configure and manage storage and tablespaces.
• Implement backup and recovery strategies with RMAN.
• Administer security, roles and auditing.
• Diagnose and resolve performance issues.
• Use the new Oracle 23ai features (AI Vector Search, DBA automation).
• Set up high-availability and disaster-recovery architectures.

Prerequisites

• Working knowledge of Oracle Database fundamentals (installation, users, tablespaces).
• Knowledge of SQL and PL/SQL.
• Experience with Oracle 19c, 21c or equivalent is recommended.
• Because every participant is unique, a personalised interview with our expert lets us design a training course perfectly aligned with their objectives, level and professional challenges.

Target audience

• Oracle database administrators (DBAs).
• Data architects.
• Infrastructure and cloud engineers.
• System administrators managing Oracle databases.
• SQL/PL-SQL developers wishing to deepen their administration skills.