Program Outline
Augment Your LLM Using Retrieval-Augmented Generation
Introduces the basics of using retrieval to ground LLM applications.
Delivery
Virtual, On-site, or Hybrid
Duration
1 hour
Product
NVIDIA LLM Tooling
Role
AI Developer
NVIDIA
Generative AI / LLMAugment Your LLM Using Retrieval-Augmented Generation
NVIDIA LLM Tooling
Best Fit
Audience Profile
Who This Program Is For
Built for teams starting their RAG journey.
Overview
Program Summary
Official NVIDIA self-paced course on augmenting LLMs with retrieval-augmented generation.
Program Outcomes
After this program, participants will be able to...
Understand RAG basics
Recognize how retrieval improves LLM usefulness
Delivery Formats
Enterprise Suitability
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Start with RAG fundamentals
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Module 1
Start with RAG fundamentals
Learn how retrieval augments LLM systems with grounded information.
- RAG basics
- Grounded-answer patterns
Coverage Areas
Topic Coverage
Coverage Item 1
RAG basics
Coverage Item 2
Grounded-answer patterns
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Use your knowledge-base scenario
