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Enterprise Program Brief

Track: NVIDIA DLI Certificate of Competency
NVIDIAIntermediate

Building RAG Agents for LLMs

Focuses on retrieval-grounded and agent-like LLM system patterns.

Duration

8 hours

Level

Intermediate

Format

Virtual, On-site, or Hybrid

Language

English

Enterprise Track

Ideal for

AI / LLM EngineerRAG AgentsTailored Team DeliveryImplementation-Focused

How VNode delivers this

Who this is for, and how we run it

VNode ITeS delivers Building RAG Agents for LLMs as an MCT-led NVIDIA program for AI / LLM Engineer. Typical duration is 8 hours (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.

Audience Profile

Built for these roles

Built for practitioners building more capable grounded agent systems.

Overview

Executive overview

Official NVIDIA self-paced course on building RAG agents for LLMs.

Readiness

Prerequisites

  • Relevant foundational experience in the target technology area.
  • Comfort with hands-on labs in a cloud or GPU-accelerated environment.

Program Outcomes

Capabilities your teams will gain

Strengthen capability in rag agents scenarios

Strengthen capability in nvidia nemo scenarios

Strengthen capability in generative ai / llm scenarios

Curriculum

Curriculum roadmap

1

RAG Agents

2

NVIDIA NeMo

3

Generative AI / LLM

1

Module 1

RAG Agents

+

Cover rag agents skills and implementation practices aligned to Building RAG Agents for LLMs.

  • Cover rag agents skills
  • implementation practices aligned to Building RAG Agents for LLMs
2

Module 2

NVIDIA NeMo

+

Cover nvidia nemo skills and implementation practices aligned to Building RAG Agents for LLMs.

  • Cover nvidia nemo skills
  • implementation practices aligned to Building RAG Agents for LLMs
3

Module 3

Generative AI / LLM

+

Cover generative ai / llm skills and implementation practices aligned to Building RAG Agents for LLMs.

  • Cover generative ai / llm skills
  • implementation practices aligned to Building RAG Agents for LLMs

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Supports more capable LLM applications through grounded agent workflows.

  • Use your assistant or document-grounding scenario

Credentials

Certification & official source

  • NVIDIA DLI Certificate of Competency

Aligned to the official source referenced for this program.

View Official Source

Resources

Program resources

Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

MCT-led delivery

Programs led by Microsoft Certified Trainer practitioners

Enterprise program oversight

Founder-led specialist delivery with structured rollout planning

Global delivery

APAC · EMEA · Americas · Virtual & Onsite

Implementation-focused

Hands-on labs aligned to production scenarios

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid