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 Duration 14 hours

Course Outline

Introduction to Oracle 23ai

  • Overview of Oracle 23ai features and strategic vision.
  • Distinctive differences compared to 19c and 21c releases.
  • AI integration strategies for modern workloads.

AI Vector Search and Embeddings

  • AI Vector Search: architectural insights and practical use cases.
  • Techniques for storing and indexing vectors in Oracle 23ai.
  • Real-world examples for search optimization and AI inference.

Automation and Observability

  • Advanced observability dashboards and telemetry capabilities.
  • Enhanced automation for routine DBA operations.
  • Proactive alerting mechanisms and resource monitoring.

Performance and SQL Improvements

  • SQL enhancements specific to Oracle 23ai.
  • Refinements in indexing, join operations, and query optimization.
  • Real-time statistical analysis and upgraded diagnostic tools.

Security and Compliance

  • Latest auditing standards and encryption features.
  • Improvements in policy management frameworks.
  • Alignment with Oracle Cloud Infrastructure (OCI) security controls.

Upgrade and Migration Strategy

  • Assessing system readiness and compatibility.
  • Essential tools and best practices for seamless upgrades.
  • Considerations for hybrid cloud deployments.

Backup, Recovery, and Cloud Solutions

  • Changes to backup protocols in Oracle 23ai.
  • Advanced Flashback and recovery capabilities.
  • Multicloud strategies and autonomous database features.

Conclusion and Future Directions

Requirements

  • Solid grasp of Oracle database architecture and administrative best practices.
  • Prior experience managing Oracle 19c or 21c environments.
  • Proficiency in SQL, PL/SQL, and standard DBA tooling.

Target Audience

  • Oracle database administrators.
  • Database architects.
  • Infrastructure engineers responsible for Oracle ecosystem support.

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