Udemy
LLM Engineering Fundamentals : Generative AI, Agents & RAG
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
The Oracle Cloud Infrastructure 2025 Generative AI Professional certification is designed for Software Developers, Machine Learning/AI Engineers, Gen AI Professionals who have a basic understanding of Machine Learning and Deep Learning concepts, familiarity with Python and OCI.Individuals who earn this credential have a strong understanding of the Large Language Model (LLM) architecture and are skilled at using OCI Generative AI Services, such as RAG and LangChain, to build, trace, evaluate, and deploy LLM applications.
Review exam topics
Fundamentals of Large Language Models (LLMs)Explain the fundamentals of LLMs
Understand LLM architectures
Design and use prompts for LLMs
Understand LLM fine-tuning
Understand the fundamentals of code models, multi-modal, and language agents
Using OCI Generative AI ServiceExplain the fundamentals of OCI Generative AI service
Use pretranined foundational models for Chat and Embedding
Create dedicated AI clusters for fine-tuning and inference
Fine-tune base models with custom dataset
Create and use model endpoints for inference
Explore OCI Generative AI security architecture
Implement RAG using OCI Generative AI service
Explain OCI Generative AI integration with LangChain and Oracle Database 23aiExplain RAG and RAG workflow
Discuss loading, splitting and chunking of documents for RAG
Create embeddings of chunks using OCI Generative AI service
Store and index embedded chunks in Oracle Database 23aiDescribe similarity search and retrieve chunks from Oracle Database 23aiExplain response generation using OCI Generative AI service
Ready to start? Continue on Udemy to enroll.
Start learning on Udemy (opens in a new tab)Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.
0 courses
Udemy: 2026-09-27 · Coursera: 2026-09-27
Prices and discounts are shown on each provider's site.
Try fewer words or clear your filters.