Oracle Cloud Infrastructure Generative AI Professional

Course Description

Oracle Cloud Infrastructure Generative AI Professional develops practical capability in generative ai foundations, oci service architecture, models, endpoints, and access and prompt design, embeddings, vector search, grounding, and rag workflows. The course connects Oracle architecture, configuration, development, or functional processing to business ownership, security, data quality, control requirements, and measurable acceptance criteria.

Learners then work through agents, tools, retrieval, evaluation, guardrails, and human review and security, deployment, monitoring, cost, performance, and responsible operations. Each activity produces model and endpoint settings, prompt tests, embedding and retrieval results, grounded responses, evaluation scores, guardrail output, access logs, latency, and cost metrics, helping participants separate configuration defects from data, access, integration, performance, or operational failures.

By completing the learning path, participants can support an OCI generative-AI assistant grounded in enterprise content, evaluated for answer quality, protected by access controls, and operated within cost limits. They also create a practical improvement plan covering validation, exception handling, rollback, ownership, documentation, monitoring, and production support.

What You Will Learn

• Map generative ai foundations, oci service architecture, models, endpoints, and access within a controlled Oracle Cloud Infrastructure Generative AI Professional workflow.
• Diagnose risks involving hallucination, poor retrieval, sensitive-data exposure, prompt injection, unsafe output, uncontrolled tool use, high latency, and unexpected consumption cost while producing defensible implementation evidence.
• Configure prompt design, embeddings, vector search, grounding, and rag workflows within a controlled Oracle Cloud Infrastructure Generative AI Professional workflow.
• Secure risks involving hallucination, poor retrieval, sensitive-data exposure, prompt injection, unsafe output, uncontrolled tool use, high latency, and unexpected consumption cost while producing defensible implementation evidence.
• Execute agents, tools, retrieval, evaluation, guardrails, and human review within a controlled Oracle Cloud Infrastructure Generative AI Professional workflow.
• Reconcile risks involving hallucination, poor retrieval, sensitive-data exposure, prompt injection, unsafe output, uncontrolled tool use, high latency, and unexpected consumption cost while producing defensible implementation evidence.
• Validate security, deployment, monitoring, cost, performance, and responsible operations within a controlled Oracle Cloud Infrastructure Generative AI Professional workflow.
• Improve risks involving hallucination, poor retrieval, sensitive-data exposure, prompt injection, unsafe output, uncontrolled tool use, high latency, and unexpected consumption cost while producing defensible implementation evidence.

SkillDynamo Training Approach

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