Augment your LLM Using Retrieval-Augmented Generation
NVIDIA Deep Learning Institute
Last updated June 16, 2026
Augment your LLM Using Retrieval-Augmented Generation is a free, one-hour course from NVIDIA's Deep Learning Institute that explains how RAG lets a large language model pull in outside information to give more accurate, current answers. It covers what RAG is, how the retrieval step works, and the components of a RAG system — staying conceptual rather than asking you to build one. A quick, focused way to understand one of the key techniques behind reliable AI assistants.
What you'll learn
- What retrieval-augmented generation (RAG) is and why it matters
- How the retrieval step finds relevant information for the model
- The components that make up a RAG system
- Where RAG helps most — and its trade-offs
Frequently asked questions about Augment your LLM Using Retrieval-Augmented Generation
Who is Augment your LLM Using Retrieval-Augmented Generation for?
Anyone who's heard of RAG and wants to understand how it works, without coding.
Is Augment your LLM Using Retrieval-Augmented Generation free?
Yes — Augment your LLM Using Retrieval-Augmented Generation is completely free to take.
What are the prerequisites for Augment your LLM Using Retrieval-Augmented Generation?
None.
Why we suggest this course
RAG is everywhere in modern AI products, and this short, free course demystifies it with no setup required. A fast way to grasp how AI systems stay grounded in real, current information.