Oracle AI Database: Deploy, Patch, and Upgrade Workshop LVC

Course Description

Oracle AI Database: Deploy, Patch, and Upgrade Workshop LVC develops practical capability in deployment architecture, Oracle homes, software installation, database creation, inventory control, readiness validation and oPatch, datapatch, release updates, OJVM patches, conflict analysis, patch rollback. The learning path connects architecture, configuration, development, or functional processing to ownership, security, data quality, controls, and measurable acceptance criteria.

The later modules address upgrade architecture, AutoUpgrade, prechecks, compatibility, test strategy, cutover planning and fallback design, backup and recovery, post-upgrade verification, performance comparison, handover, lifecycle governance. Learners work with software inventory and deployment checklist, OPatch and datapatch logs, AutoUpgrade precheck report, and post-upgrade validation and rollback record to distinguish configuration defects from data, access, integration, performance, compliance, or operational failures.

By completing the course, participants can support an Oracle AI Database estate deployed, patched, upgraded, validated, and handed over without unplanned service disruption. 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 Deployment architecture, Oracle homes, software installation.
• Configure database creation, inventory control, readiness validation and confirm readiness using software inventory and deployment checklist.
• Execute OPatch, datapatch, release updates, OJVM patches through a traceable sequence with clear ownership and approval boundaries.
• Identify patch conflict or invalid objects by inspecting OPatch and datapatch logs at the earliest reliable checkpoint.
• Integrate Upgrade architecture, AutoUpgrade, prechecks into the wider workflow and document its upstream and downstream dependencies.
• Validate compatibility, test strategy, cutover planning with AutoUpgrade precheck report, including a boundary or failure case.
• Operate Fallback design, backup and recovery, post-upgrade verification, performance comparison against defined security, reliability, recovery, and support objectives.
• Resolve cutover regression after upgrade 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.