Program Outline
Introduction to Transformer-Based Natural Language Processing
Introduces transformers as the building blocks of modern language models and applies them to common NLP tasks.
Delivery
Virtual, On-site, or Hybrid
Duration
6 hours
Product
NVIDIA NeMo
Role
AI Engineer
NVIDIA
Generative AI / LLMIntroduction to Transformer-Based Natural Language Processing
NVIDIA NeMo
Best Fit
Audience Profile
Who This Program Is For
Built for teams learning applied transformer-based NLP workflows.
Overview
Program Summary
Official NVIDIA self-paced course on transformer-based NLP and language-model applications.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Start with transformer NLP
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Module 1
Start with transformer NLP
Learn how transformers support modern NLP applications and tasks.
- Transformer NLP basics
- Task-oriented language workflows
Coverage Areas
Topic Coverage
Coverage Item 1
Transformer NLP basics
Coverage Item 2
Task-oriented language workflows
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Use your NLP scenario
- •Add deployment and evaluation topics
