OCI Generative AI Professional (1Z0-1127-25): Exam Prep

This course contains the use of artificial intelligence.

This course was produced with the assistance of artificial intelligence. AI tools were used to help draft and structure the lessons, generate the on-screen slides, and synthesize the voice narration. All content has been reviewed and curated by the instructor for accuracy and alignment with the current Oracle Cloud Infrastructure 2025 Generative AI Professional (1Z0-1127-25) exam topics.

Build and ship generative-AI applications on Oracle Cloud, and prove it. This course delivers exam-focused preparation for the OCI 2025 Generative AI Professional exam (1Z0-1127-25): a hands-on, application-centric path through large language models, the OCI Generative AI service, retrieval-augmented generation, and grounded agents. It is scenario-driven, so you learn the decisions the exam actually tests, not definitions.

What this course covers, mapped to Oracle's official 1Z0-1127-25 domains (each about 25%):

• Fundamentals of Large Language Models: transformer architecture, tokenization and embeddings, decoding parameters (temperature, top-k, top-p), prompt engineering, prompt-injection mitigation, and choosing prompting vs RAG vs fine-tuning (LoRA, T-Few)
• Using the OCI Generative AI Service: foundation models for chat, generation, and embeddings; the console, API, and SDK; dedicated AI clusters; fine-tuning custom models; endpoints; content moderation; and security
• Implement RAG using OCI Generative AI: RAG architecture, document chunking, embeddings, semantic search, Oracle Database 23ai AI Vector Search, and orchestrating retrieval and generation with LangChain-style pipelines to reduce hallucination
• Using the OCI Generative AI Agents Service: creating agents, attaching knowledge bases, configuring endpoints and tools, grounding on enterprise data, and deciding when an agent beats a plain RAG chatbot

How this course prepares you: every topic shows the real OCI console flows, API and SDK snippets, prompt examples, and RAG and agent architectures, then frames each the way the exam asks. You will practice the recurring decisions it emphasizes: prompting vs RAG vs fine-tuning, parameter-efficient fine-tuning (LoRA and T-Few) vs full fine-tuning, decoding-parameter effects, building a RAG pipeline with vector search, and configuring a grounded agent. Two full practice tests and a final exam-simulation chapter build the 55-question, 90-minute timing strategy.

This is a read-and-understand course. A free Oracle Cloud trial and Oracle's LiveLabs are enough to follow along, and no paid tenancy is required. It is a natural step up from AI fundamentals for developers, ML and AI engineers, and generative-AI practitioners who want a recognized Oracle credential.

The exam is approximately 55 questions in 90 minutes with a 68 percent passing score. The fee is commonly cited near USD 245, though Oracle periodically offers these OCI AI exams free through promotions, and the certification is valid for two years. Oracle refreshes these exams roughly annually, so always confirm the current version, topics, and pricing on Oracle's official 1Z0-1127-25 exam page before scheduling.

Enroll today and turn your OCI generative-AI skills into a professional credential.