“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
NVIDIAAdvanced
Building AI-Enabled Robots with Isaac ROS
Official NVIDIA Deep Learning Institute program covering robotics with hands-on GPU-accelerated labs.
Duration
8 hours
Level
Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
NVIDIA
RoboticsAI
Building AI-Enabled Robots with Isaac ROS
NVIDIA Isaac
NVIDIA
On this page
Ideal for
Deep Learning PractitionerRoboticsTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for Deep Learning Practitioner learners adopting Building AI-Enabled Robots with Isaac ROS.
Overview
Executive overview
NVIDIA Deep Learning Institute-aligned program for Building AI-Enabled Robots with Isaac ROS.
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 robotics scenarios
Strengthen capability in nvidia isaac scenarios
Strengthen capability in deep learning scenarios
Curriculum
Curriculum roadmap
1
Robotics
2
NVIDIA Isaac
3
Deep Learning
1Module 1
Robotics
+
Module 1
Robotics
Cover robotics skills and implementation practices aligned to Building AI-Enabled Robots with Isaac ROS.
- Cover robotics skills
- implementation practices aligned to Building AI-Enabled Robots with Isaac ROS
2Module 2
NVIDIA Isaac
+
Module 2
NVIDIA Isaac
Cover nvidia isaac skills and implementation practices aligned to Building AI-Enabled Robots with Isaac ROS.
- Cover nvidia isaac skills
- implementation practices aligned to Building AI-Enabled Robots with Isaac ROS
3Module 3
Deep Learning
+
Module 3
Deep Learning
Cover deep learning skills and implementation practices aligned to Building AI-Enabled Robots with Isaac ROS.
- Cover deep learning skills
- implementation practices aligned to Building AI-Enabled Robots with Isaac ROS
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryAdvanced practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds NVIDIA GPU-accelerated skills for robotics with hands-on DLI-style labs.
- •Align labs to your production environment and platform priorities
- •Add readiness reviews and instructor-led practice sessions
- •Extend into project-specific architecture or delivery coaching
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