“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
NVIDIABeginner
Getting Started with Deep Learning
This NVIDIA DLI course explores the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities. It is a structured entry point for teams building AI skills before moving into more specialized model and deployment work.
Duration
8 hours
Level
Beginner
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
In Demand
NVIDIA
FoundationsNN
TensorFlow, Keras, neural networks
NVIDIA Deep Learning
DL
On this page
Ideal for
Deep Learning PractitionerDeep LearningTailored Team DeliveryImplementation-Focused
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Getting Started with Deep Learning as an MCT-led NVIDIA program for Deep Learning Practitioner. 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 technical practitioners who want a structured introduction to deep learning concepts, model training, and performance improvement.
Overview
Executive overview
Official NVIDIA DLI foundational deep learning program focused on training neural networks and improving performance with TensorFlow and Keras.
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 deep learning scenarios
Strengthen capability in nvidia deep learning scenarios
Curriculum
Curriculum roadmap
1
Deep Learning
2
NVIDIA Deep Learning
1Module 1
Deep Learning
+
Module 1
Deep Learning
Cover deep learning skills and implementation practices aligned to Getting Started with Deep Learning.
- Cover deep learning skills
- implementation practices aligned to Getting Started with Deep Learning
2Module 2
NVIDIA Deep Learning
+
Module 2
NVIDIA Deep Learning
Cover nvidia deep learning skills and implementation practices aligned to Getting Started with Deep Learning.
- Cover nvidia deep learning skills
- implementation practices aligned to Getting Started with Deep Learning
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryBeginner practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Gives teams a structured on-ramp into deep learning so they can move from theory into hands-on model training and performance improvement.
- •Use your domain-specific introductory AI examples
- •Add a bridge module into computer vision, NLP, or generative AI
- •Extend into team learning pathways and role-based progression planning
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