“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
NVIDIABeginner to Intermediate
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 to Intermediate
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
Developer, Data PractitionerDeep LearningTailored Team DeliveryImplementation-Focused
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
- Understanding of fundamental programming concepts in Python 3.
- Familiarity with pandas data structures.
- Basic understanding of how to compute a regression line.
Program Outcomes
Capabilities your teams will gain
Understand core deep learning concepts and terminology
Train neural networks using TensorFlow and Keras
Evaluate results and improve model performance
Build readiness for more advanced deep learning and generative AI programs
Curriculum
Curriculum roadmap
1
Deep learning foundations
2
Training neural networks
3
Evaluating model performance
4
Improving model capability
1Module 1
Learn deep learning fundamentals
+
Module 1
Learn deep learning fundamentals
Build a working understanding of neural networks, training workflows, and the key concepts that shape modern deep learning solutions.
- Deep learning foundations
- Training neural networks
2Module 2
Evaluate and improve model performance
+
Module 2
Evaluate and improve model performance
Use results from model runs to interpret behavior, improve performance, and prepare for more advanced AI problem solving.
- Evaluating model performance
- Improving model capability
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryBeginner to Intermediate 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
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
