“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
NVIDIAIntermediate
Building Real-Time Video AI Applications
Introduces patterns for building real-time video AI applications using NVIDIA tooling.
Duration
2 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Deep LearningAI
Building Real-Time Video AI Applications
NVIDIA Video AI Stack
NVIDIA
On this page
Ideal for
AI DeveloperDeep LearningTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for teams exploring or deploying real-time video AI.
Overview
Executive overview
Official NVIDIA self-paced course on real-time video AI application development.
Readiness
Prerequisites
- Basic AI and Python familiarity.
Program Outcomes
Capabilities your teams will gain
Understand real-time video AI pipeline basics
Apply deployment ideas for video workloads
Curriculum
Curriculum roadmap
1
Video AI pipeline basics
2
Real-time deployment patterns
1Module 1
Build real-time video AI pipelines
+
Module 1
Build real-time video AI pipelines
Learn the building blocks for real-time video inference workflows.
- Video AI pipeline basics
- Real-time deployment patterns
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Supports faster rollout of video AI use cases in operations, retail, and safety scenarios.
- •Use your camera and edge scenario
- •Add deployment architecture 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
