“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
Track: NVIDIA DLI Certificate of Competency
NVIDIAIntermediate
Generative AI with Diffusion Models
This NVIDIA DLI course helps teams get started with generative AI application development by building a text-to-image solution with diffusion models. It combines from-scratch understanding with enterprise use of pretrained approaches to accelerate application delivery.
Duration
8 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Generative ImagingDM
Text-to-image and diffusion workflows
NVIDIA Diffusion
IMG
On this page
Ideal for
AI / LLM EngineerDiffusion ModelsTailored Team DeliveryImplementation-Focused
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Generative AI with Diffusion Models 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 with solid deep learning foundations who want to expand into enterprise image-generative AI workflows using diffusion models.
Overview
Executive overview
Official NVIDIA DLI generative AI course focused on building text-to-image applications with diffusion models.
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 diffusion models scenarios
Strengthen capability in nvidia generative ai scenarios
Strengthen capability in generative ai / llm scenarios
Curriculum
Curriculum roadmap
1
Diffusion Models
2
NVIDIA Generative AI
3
Generative AI / LLM
1Module 1
Diffusion Models
+
Module 1
Diffusion Models
Cover diffusion models skills and implementation practices aligned to Generative AI with Diffusion Models.
- Cover diffusion models skills
- implementation practices aligned to Generative AI with Diffusion Models
2Module 2
NVIDIA Generative AI
+
Module 2
NVIDIA Generative AI
Cover nvidia generative ai skills and implementation practices aligned to Generative AI with Diffusion Models.
- Cover nvidia generative ai skills
- implementation practices aligned to Generative AI with Diffusion Models
3Module 3
Generative AI / LLM
+
Module 3
Generative AI / LLM
Cover generative ai / llm skills and implementation practices aligned to Generative AI with Diffusion Models.
- Cover generative ai / llm skills
- implementation practices aligned to Generative AI with Diffusion Models
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: Expands team capability beyond text-based GenAI by building working understanding of image generation workflows and diffusion-model implementation patterns.
- •Use your visual content use case as the workshop context
- •Add multimodal and evaluation follow-on topics
- •Extend into deployment and product-integration considerations
Credentials
Certification & official source
- •NVIDIA DLI Certificate of Competency
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