“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 AI on NVIDIA Jetson Nano
Introduces AI project development on Jetson Nano through a applied deep learning classification workflow.
Duration
3 hours
Level
Beginner to Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Deep LearningAI
Getting Started With AI on NVIDIA Jetson Nano
Jetson Nano
NVIDIA
On this page
Ideal for
DeveloperDeep LearningTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for developers and teams beginning their embedded AI journey with NVIDIA Jetson.
Overview
Executive overview
Official NVIDIA DLI course for building an AI classification project with computer vision models on Jetson Nano.
Readiness
Prerequisites
- Basic familiarity with Python helpful, but not required.
Program Outcomes
Capabilities your teams will gain
Understand the basics of Jetson-based AI development
Build a simple classification workflow on edge hardware
Curriculum
Curriculum roadmap
1
Jetson AI basics
2
Classification workflow on edge hardware
1Module 1
Start building AI on Jetson
+
Module 1
Start building AI on Jetson
Learn the implementation basics of using Jetson Nano for deep learning and computer vision projects.
- Jetson AI basics
- Classification workflow on edge hardware
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: Provides a structured entry point into embedded AI and edge deployment on NVIDIA Jetson.
- •Use your edge AI use case
- •Add deployment and sensor integration follow-on topics
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
