Oracle AI Database: Administration Workshop Live Class
Develop practical capability in administering Oracle AI Database with core operations, AI-aware workloads, performance, security, and observability through four unique lessons with implementation, evidence review, failure analysis, and operational handoff.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
Oracle AI Database: Administration Workshop Live Class develops practical capability in administering Oracle AI Database with core operations, AI-aware workloads, performance, security, and observability. The course is organized around a mixed transactional and AI-assisted application with workload, access, and service-health challenges.
Learners move from architecture or process understanding into implementation, validation, troubleshooting, and operational handoff. Each lesson uses the tools, transactions, services, or business controls relevant to this exact Oracle pathway.
The content is independently written for SkillDynamo using the supplied source page for title, update date, duration, and topic alignment. Learners finish with reproducible evidence, a course-specific runbook or design record, and a prioritized improvement action.
What You Will Learn
- Design and apply database and instance architecture within Oracle AI Database: Administration Workshop Live Class.
- Validate multitenant services and placement, AI-oriented data and processing patterns, and tools, views, baselines, and ownership through course-specific evidence.
- Design and apply tablespaces, temp, undo, and I/O within Oracle AI Database: Administration Workshop Live Class.
- Validate SGA, PGA, sessions, and process limits, Resource Manager and workload priority, and waits, SQL evidence, plans, and capacity through course-specific evidence.
- Design and apply users, roles, privileges, and service accounts within Oracle AI Database: Administration Workshop Live Class.
- Validate sensitive data and encryption awareness, auditing and administrative accountability, and network security, credentials, and integration boundaries through course-specific evidence.
- Design and apply backup and recovery coordination within Oracle AI Database: Administration Workshop Live Class.
- Validate statistics, maintenance, and patching, alerts, logs, incidents, and dashboards, and change control, support, and improvement through course-specific evidence.
SkillDynamo Training Approach
The training follows a mixed transactional and AI-assisted application with workload, access, and service-health challenges. Instead of generic exercises, each activity uses the product architecture, data model, process controls, failure modes, and operational decisions unique to Oracle AI Database: Administration Workshop Live Class. Learners complete demonstrations, guided implementation, evidence review, failure analysis, and a final handoff checklist.
Curriculum
- 1 Section
- 4 Lessons
- 40 Hours
- Course Curriculum4 Items
- 1.1Oracle AI Database: Administration Workshop Live Class — Lesson 1: Oracle AI Database Architecture, Services, and Workload Context10 hours
- 1.2Oracle AI Database: Administration Workshop Live Class — Lesson 2: Storage, Memory, Resource Control, and Performance Evidence10 hours
- 1.3Oracle AI Database: Administration Workshop Live Class — Lesson 3: Users, Data Protection, Auditing, and AI Workload Security10 hours
- 1.4Oracle AI Database: Administration Workshop Live Class — Lesson 4: Backup, Maintenance, Observability, Incidents, and Readiness10 hours
SkillDynamo Expert Team
Instructor-led delivery tailored to Oracle AI Database: Administration Workshop Live Class, with Oracle-specific demonstrations, hands-on configuration or development, evidence review, incident analysis, and production-oriented validation.
- Course-specific architecture, workflow, or business-process demonstrations
- Hands-on implementation, testing, troubleshooting, and recovery practice
- Operational evidence, governance decisions, and reusable implementation guidance
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