“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
NVIDIAIntermediate
Introduction to Transformer-Based Natural Language Processing
Introduces transformers as the building blocks of modern language models and applies them to common NLP tasks.
Duration
6 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Generative AI / LLMAI
Introduction to Transformer-Based Natural Language Processing
NVIDIA NeMo
NVIDIA
On this page
Ideal for
AI EngineerGenerative AI / LLMTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for teams learning applied transformer-based NLP workflows.
Overview
Executive overview
Official NVIDIA self-paced course on transformer-based NLP and language-model applications.
Readiness
Prerequisites
- Basic deep learning concepts and familiarity with language modeling and transformers.
Program Outcomes
Capabilities your teams will gain
Understand transformer-driven NLP tasks
Apply language-model ideas to enterprise NLP workflows
Curriculum
Curriculum roadmap
1
Transformer NLP basics
2
Task-oriented language workflows
1Module 1
Start with transformer NLP
+
Module 1
Start with transformer NLP
Learn how transformers support modern NLP applications and tasks.
- Transformer NLP basics
- Task-oriented language workflows
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: Builds a applied bridge from general deep learning into modern transformer-based NLP work.
- •Use your NLP scenario
- •Add deployment and evaluation 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
