Udemy
Generative AI & LLM Engineering: RAG, LangChain, Fine-Tuning
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
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 architectures
Prompt design strategies
Fine-tuning concepts
Introduction to code models, multi-modal models, and language agents2. Using OCI Generative AI Service – 40%Overview of OCI Generative AI service
Use of pretrained foundational models for chat and embedding
Creating dedicated AI clusters
Fine-tuning base models with custom datasets
Setting up model endpoints for inference
Security architecture in OCI GenAI3. Implement RAG using OCI Generative AI Service – 20%LangChain integration with OCI & Oracle Database 23aiUnderstanding RAG workflows
Document chunking and embedding
Storing and indexing in Oracle Database 23aiSimilarity search and response generation4. Using OCI Generative AI RAG Agents Service – 20%Introduction to OCI RAG AgentsCreating knowledge bases
Deploying agents using knowledge bases
Invoking deployed RAG agents as chatbots
This 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 C
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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