1Z0-1127-25: Oracle Cloud Infrastructure 2025 Generative AI

• Oracle Cloud Infrastructure 2025 Generative AI Professional Certification (1Z0-1127-25): Master the skills to build and deploy cutting-edge AI solutions with Oracle's Generative AI services. This certification validates your expertise in leveraging large language models (LLMs) within the Oracle Cloud.

Topic 1: Fundamentals of Large Language Models (LLMs)

• Deepen your understanding of the core concepts behind large language models (LLMs).
• Explore transformer-based architectures, the foundation of modern LLMs.
• Learn effective prompt engineering strategies to optimize LLM outputs.
• Gain proficiency in fine-tuning techniques to tailor LLMs for specific tasks.
• Discover practical applications of code models and multi-modal systems.
• Understand the emerging field of autonomous language agents and their potential in enterprise workflows.

Topic 2: Using OCI Generative AI Service

• Become proficient in utilizing OCI Generative AI Service for powerful AI applications.
• Work with pre-trained chat models and embedding models to accelerate development.
• Set up and manage dedicated AI clusters for fine-tuning and inference.
• Deploy and manage generative AI endpoints securely.
• Implement robust workload management for optimal performance.
• Adhere to Oracle’s responsible AI framework and best practices for generative AI governance.

Topic 3: Implement RAG Using OCI Generative AI Service

• Develop expertise in Retrieval-Augmented Generation (RAG) pipelines using OCI Generative AI Service.
• Leverage LangChain with Oracle Database 23ai for seamless data integration.
• Master techniques for breaking down documents into manageable chunks.
• Implement embedding strategies for semantic search.
• Store and manage embeddings with semantic indexing for efficient retrieval.
• Query data effectively to generate accurate, AI-driven responses.

Topic 4: Using OCI Generative AI RAG Agents Service

• Create intelligent chat agents using OCI Generative AI RAG Agents Service.
• Build and manage robust RAG knowledge bases.
• Deploy chat-ready AI agents for various applications.
• Integrate AI agents into existing applications to enhance user experience.
• Explore practical use cases for enterprise AI assistants powered by OCI's Generative AI RAG Agent services.