“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
NVIDIAIntermediate to Advanced
Rapid Application Development Using Large Language Models
This NVIDIA DLI course gives teams applied knowledge of LLM application development by exploring the open-source ecosystem, including pretrained LLMs and frameworks that speed up solution delivery. It is well suited for organizations moving quickly into applied generative AI development.
Duration
8 hours
Level
Intermediate to Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
In Demand
NVIDIA
Rapid Application DevelopmentAI
PyTorch, Hugging Face, LangChain
NVIDIA LLM Apps
LLM
On this page
Ideal for
AI Engineer, DeveloperGenerative AI / LLMTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for developers who already understand core Python and basic deep learning concepts and now need a structured path into LLM application development.
Overview
Executive overview
Official NVIDIA DLI generative AI program focused on enterprise LLM application development using open-source models and frameworks.
Readiness
Prerequisites
- Introductory deep learning with comfort in PyTorch and transfer learning preferred.
- Intermediate Python experience, including object-oriented programming and libraries.
Program Outcomes
Capabilities your teams will gain
Develop LLM-based applications with common open-source tooling
Use PyTorch, Hugging Face, LangChain, and LlamaIndex more effectively
Accelerate applied solution delivery with pretrained model ecosystems
Build stronger readiness for enterprise generative AI implementation
Curriculum
Curriculum roadmap
1
LLM ecosystem foundations
2
Working with pretrained open-source models
3
Rapid application prototyping
4
Framework-driven orchestration patterns
1Module 1
Learn the LLM application stack
+
Module 1
Learn the LLM application stack
Build working familiarity with pretrained large language models, open-source tooling, and the frameworks used to accelerate application development.
- LLM ecosystem foundations
- Working with pretrained open-source models
2Module 2
Prototype LLM solutions quickly
+
Module 2
Prototype LLM solutions quickly
Use orchestration frameworks and applied development patterns to speed up application prototyping and implementation.
- Rapid application prototyping
- Framework-driven orchestration patterns
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate to Advanced practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Gives teams a fast path to enterprise LLM application development with widely used open-source tooling and NVIDIA-aligned implementation patterns.
- •Use your internal assistant or knowledge workflow as the scenario
- •Add retrieval, evaluation, or deployment emphasis
- •Extend into secure enterprise implementation and rollout planning
Credentials
Certification & official source
Aligned to the official source referenced for this program.
View Official SourceResources
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.
Enterprise Proof
Trusted delivery outcomes
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
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
