“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
Fundamentals of Deep Learning
Provides a applied deep-learning foundation for model development, training, and performance improvement.
Duration
8 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
NVIDIA
Deep LearningFundamentals of Deep Learning
Deep Learning Frameworks
On this page
Ideal for
Audience Profile
Built for these roles
Built for teams that need stronger core deep-learning capability before moving into advanced programs.
Overview
Executive overview
Official NVIDIA DLI workshop covering the fundamentals of deep learning for applied AI model development.
Readiness
Prerequisites
- Python programming fundamentals and basic data familiarity.
Program Outcomes
Capabilities your teams will gain
Understand deep-learning concepts and terminology
Build stronger readiness for specialized AI workloads
Curriculum
Curriculum roadmap
Deep-learning foundations
applied model-building patterns
1Module 1
Learn core deep-learning practice
+
Module 1
Learn core deep-learning practice
Build the conceptual and delivery foundation required for modern deep-learning workflows.
- Deep-learning foundations
- applied model-building patterns
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Establishes strong core deep-learning foundations before teams move into specialized AI tracks.
- •Bridge into NLP, vision, or generative AI after the fundamentals module
- •Use team-specific datasets where appropriate
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
