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 Duration 14 hours

Course Outline

Introduction to Oracle 23ai

  • Summary of Oracle 23ai features and strategic vision
  • Distinctive differences from versions 19c and 21c
  • AI integration strategies for modern workloads

AI Vector Search and Embedding Techniques

  • AI Vector Search: underlying architecture and application scenarios
  • Methods for storing and indexing vectors within Oracle 23ai
  • Real-world examples for search and AI inference tasks

Automation and System Observability

  • New observability dashboards and telemetry capabilities
  • Advanced automation features for DBA responsibilities
  • Proactive alerting systems and resource monitoring tools

Performance Optimization and SQL Improvements

  • SQL enhancements specific to Oracle 23ai
  • Advancements in indexing, join operations, and query optimization
  • Real-time statistics collection and diagnostic improvements

Security Standards and Compliance

  • New auditing mechanisms and encryption features
  • Enhancements in policy management
  • Integration with Oracle Cloud Infrastructure (OCI) security controls

Upgrade Strategies and Migration Planning

  • Evaluating system readiness and compatibility
  • Tools and best practices for executing upgrades
  • Considerations for hybrid cloud environments

Backup, Recovery, and Cloud Solutions

  • Changes to backup processes in Oracle 23ai
  • Flashback and recovery feature enhancements
  • Multicloud strategies and autonomous database features

Conclusion and Future Directions

Requirements

  • A solid grasp of Oracle database architecture and management
  • Practical experience with Oracle 19c or 21c
  • Proficiency in SQL, PL/SQL, and fundamental DBA tooling

Target Audience

  • Oracle database administrators
  • Database architects
  • Infrastructure engineers responsible for Oracle environments

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