Program Outline
Building RAG Agents for LLMs
Focuses on retrieval-grounded and agent-like LLM system patterns.
Delivery
Virtual, On-site, or Hybrid
Duration
8 hours
Product
NVIDIA LLM Tooling
Role
AI Engineer
NVIDIA
Generative AI / LLMBuilding RAG Agents for LLMs
NVIDIA LLM Tooling
Best Fit
Audience Profile
Who This Program Is For
Built for practitioners building more capable grounded agent systems.
Overview
Program Summary
Official NVIDIA self-paced course on building RAG agents for LLMs.
Program Outcomes
After this program, participants will be able to...
Understand RAG-agent concepts
Apply agentic and grounded workflow patterns
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
Build grounded LLM agents
+
Module 1
Build grounded LLM agents
Learn how retrieval and orchestration come together in agent-style LLM systems.
- Agentic RAG basics
- Grounded orchestration patterns
Coverage Areas
Topic Coverage
Coverage Item 1
Agentic RAG basics
Coverage Item 2
Grounded orchestration 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 assistant or document-grounding scenario
