Oracle AI Database: New Features for Administrators LVC

Course Description

Oracle AI Database: New Features for Administrators LVC develops practical capability in administrator feature landscape, architecture changes, compatibility, installation choices, configuration baselines, readiness and multitenant administration enhancements, resource management, automation, storage operations, backup improvements, availability changes. The learning path connects architecture, configuration, development, or functional processing to ownership, security, data quality, controls, and measurable acceptance criteria.

The later modules address performance diagnostics, observability, SQL monitoring, security controls, privilege management, audit capabilities and patching, upgrades, migration planning, capacity management, incident recovery, lifecycle governance. Learners work with feature readiness assessment, administration configuration record, monitoring and security evidence, and upgrade and operational handover plan to distinguish configuration defects from data, access, integration, performance, compliance, or operational failures.

By completing the course, participants can support a database administration team adopting Oracle AI Database operational enhancements while preserving security, recoverability, and support standards. They also create an improvement plan covering validation, exception handling, rollback, ownership, monitoring, governance, and production support.

What You Will Learn

• Explain the architecture, responsibilities, and prerequisite decisions behind Administrator feature landscape, architecture changes, compatibility.
• Configure installation choices, configuration baselines, readiness and confirm readiness using feature readiness assessment.
• Execute Multitenant administration enhancements, resource management, automation, storage operations through a traceable sequence with clear ownership and approval boundaries.
• Identify automation applies an unsafe action by inspecting administration configuration record at the earliest reliable checkpoint.
• Integrate Performance diagnostics, observability, SQL monitoring into the wider workflow and document its upstream and downstream dependencies.
• Validate security controls, privilege management, audit capabilities with monitoring and security evidence, including a boundary or failure case.
• Operate Patching, upgrades, migration planning, capacity management against defined security, reliability, recovery, and support objectives.
• Resolve lifecycle change cannot be reversed through evidence-led diagnosis, a reversible correction, retesting, and preventive follow-up.

SkillDynamo Training Approach

Delivery combines course-specific demonstrations, guided hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, peer review, and a final improvement plan. Learners document assumptions, settings, data, outputs, exceptions, corrective actions, rollback needs, approvals, evidence, and operational responsibilities.