NVIDIA: Fundamentals of NLP and Transformers
Completed by Clarissa Tay
March 1, 2026
4 hours (approximately)
Clarissa Tay's account is verified. Coursera certifies their successful completion of NVIDIA: Fundamentals of NLP and Transformers
What you will learn
Understand NLP fundamentals, key tasks, and real-world applications.
Implement NLP techniques, including tokenization, word embeddings, and sequence models.
Explore transformer architecture, self-attention mechanisms, and encoder-decoder models.
Skills you will gain
- Category: Generative AI
- Category: Unstructured Data
- Category: Recurrent Neural Networks (RNNs)
- Category: Data Pipelines
- Category: Artificial Neural Networks
- Category: Token Optimization
- Category: Large Language Modeling
- Category: Data Preprocessing
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Natural Language Processing
- Category: Embeddings
