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Course Outline

Overview of Oracle 23ai

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

AI Vector Search and Embeddings

  • AI Vector Search: architectural design and use cases
  • Techniques for storing and indexing vectors in Oracle 23ai
  • Hands-on examples for search operations and AI inference

Automation and Observability

  • Introduction to new observability dashboards and telemetry tools
  • Advanced automation solutions for DBA workflows
  • Proactive alerting mechanisms and resource monitoring

Performance and SQL Enhancements

  • Updates to SQL capabilities in Oracle 23ai
  • Advancements in indexing, join operations, and query optimization
  • Real-time statistical analysis and enhanced diagnostic tools

Security and Compliance

  • New auditing standards and encryption protocols
  • Upgrades to policy management frameworks
  • Integration with Oracle Cloud Infrastructure (OCI) controls

Upgrade and Migration Planning

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

Backup, Recovery, and Cloud Options

  • Changes to backup procedures in Oracle 23ai
  • Enhanced flashback and recovery mechanisms
  • Features supporting multicloud environments and autonomous databases

Summary and Next Steps

Requirements

  • Solid understanding of Oracle database architecture and administration principles
  • Practical experience with Oracle 19c or 21c systems
  • Proficiency in SQL, PL/SQL, and fundamental DBA utilities

Target Audience

  • Oracle database administrators
  • Database architects
  • Infrastructure engineers supporting Oracle-based environments
 14 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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