Current
Intermediate
Transformer-Based NLP Applications
NVIDIA Deep Learning Institute (DLI) · NVIDIA · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
8 hours instructor-led
Classes
22
Build transformer-based NLP applications including text classification, named entity recognition, and question answering.
What you'll get
Fine-tune transformer models for NLP tasks
Build text classification and NER systems
Implement question-answering pipelines
Deploy NLP models at scale
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python and PyTorch basics
Pricing
Contact for pricing
Certification
Certificate
Growth Leverage: Completing this course equips learners for roles such as NLP Engineer, Data Scientist, or Machine Learning Specialist, opening pathways to advanced positions and certifications in natural language processing and AI, crucial for industries like tech, finance, and healthcare.
Skills Value: The skills gained, particularly in fine-tuning transformer models and deploying NLP systems, are highly sought after, with salaries for NLP Engineers often exceeding $120,000 annually, driven by high demand for AI-driven solutions across various sectors.
NLP
Transformers
BERT
Text Classification
NVIDIA