“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
NVIDIAAdvanced
Building Conversational AI Applications V2.0
Focuses on quickly building and deploying speech AI applications with real-time transcription and natural language capabilities.
Duration
8 hours
Level
Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Deep LearningAI
Building Conversational AI Applications V2.0
NVIDIA Riva, TAO Toolkit
NVIDIA
On this page
Ideal for
AI DeveloperDeep LearningTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for teams creating speech-enabled and conversational AI solutions.
Overview
Executive overview
Official NVIDIA DLI workshop on building and deploying conversational AI applications using NVIDIA speech AI tooling.
Readiness
Prerequisites
- Python coding experience.
- Basic understanding of a deep learning framework and neural networks.
Program Outcomes
Capabilities your teams will gain
Understand conversational AI workflow components
Build speech-enabled AI applications
Curriculum
Curriculum roadmap
1
Speech pipeline foundations
2
Conversational AI deployment
1Module 1
Create conversational AI applications
+
Module 1
Create conversational AI applications
Learn the building blocks for deploying speech AI solutions with transcription and language capabilities.
- Speech pipeline foundations
- Conversational AI deployment
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: Helps teams create production-quality conversational AI experiences faster with NVIDIA speech tooling.
- •Use your assistant or voice workflow scenario
- •Add deployment and scaling patterns
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
