Develop essential systems & infrastructure skills with expert instruction and practical examples.
This course is designed to prepare professionals Exam with a strong emphasis on hands-on knowledge and multiple-choice question (MCQ) based assessments, this course offers comprehensive coverage of the latest capabilities of OCI Generative AI services. ourse Outline (Exam-Aligned)1. Fundamentals of Large Language Models (LLMs) - 20%LLM basics and architecturesPrompt design strategiesFine-tuning conceptsIntroduction to code models, multi-modal models, and language agents2.
Using OCI Generative AI Service - 40%Overview of OCI Generative AI serviceUse of pretrained foundational models for chat and embeddingCreating dedicated AI clustersFine-tuning base models with custom datasetsSetting up model endpoints for inferenceSecurity architecture in OCI GenAI3. Implement RAG using OCI Generative AI Service - 20%LangChain integration with OCI & Oracle Database 23aiUnderstanding RAG workflowsDocument chunking and embeddingStoring and indexing in Oracle Database 23aiSimilarity search and response generation4. Using OCI Generative AI RAG Agents Service - 20%Introduction to OCI RAG AgentsCreating knowledge basesDeploying agents using knowledge basesInvoking deployed RAG agents as chatbotsThis preparation program is tailored to simulate the exam experience, reinforce understanding through topic-wise MCQs, and ensure confidence in navigating real-world GenAI applications within the Oracle ecosystem.
This course is designed solely for educational and professional certification preparation purposes. Oracle®, OCI®, and related logos are trademarks of Oracle Corporation.
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