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 Duration 14 hours

Course Outline

Introduction to Oracle 23ai

  • Summary of Oracle 23ai features and strategic vision
  • Significant distinctions compared to 19c and 21c versions
  • AI integration strategies and modern workload requirements

AI Vector Search and Data Embeddings

  • AI Vector Search: underlying architecture and real-world applications
  • Methods for storing and indexing vectors within Oracle 23ai
  • Applied examples for search optimization and AI inference

Automation and System Observability

  • Introduction to new observability dashboards and telemetry capabilities
  • Advanced automation features for routine DBA tasks
  • Proactive alerting mechanisms and resource monitoring tools

Performance Optimization and SQL Improvements

  • New SQL capabilities introduced in Oracle 23ai
  • Enhancements in indexing, join operations, and query optimization
  • Real-time statistics collection and improved diagnostic tools

Security Protocols and Compliance

  • Updated auditing standards and encryption features
  • Advanced policy management controls
  • Integration with Oracle Cloud Infrastructure (OCI) security controls

Upgrade and Migration Strategy

  • Evaluating system readiness and compatibility
  • Recommended tools and best practices for smooth upgrades
  • Considerations for hybrid cloud deployments

Backup, Recovery, and Cloud Services

  • Updates to backup procedures in Oracle 23ai
  • Improvements in Flashback and recovery mechanisms
  • Multicloud strategies and autonomous database features

Conclusion and Recommended Next Steps

Requirements

  • Solid grasp of Oracle database architecture and administration practices
  • Practical experience with Oracle 19c or 21c environments
  • Proficiency in SQL, PL/SQL, and standard DBA toolsets

Intended Audience

  • Professional Oracle database administrators
  • Database architects
  • Infrastructure engineers supporting Oracle-based systems

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