Natural Language Processing - Transformers with Hugging Face
Completed by Jonathan Carter Schlink
October 3, 2025
5 hours (approximately)
Jonathan Carter Schlink's account is verified. Coursera certifies their successful completion of Natural Language Processing - Transformers with Hugging Face
What you will learn
Understand the evolution of neural networks to Transformers and attention mechanisms.
Implement sentiment analysis and text generation models using Hugging Face in Python.
Explore embeddings, semantic search, and how they enhance NLP tasks.
Apply advanced NLP techniques like question answering, masked language modeling, and zero-shot classification in Python.
Skills you will gain
- Category: Recurrent Neural Networks (RNNs)
- Category: Python Programming
- Category: Embeddings
- Category: Large Language Modeling
- Category: Applied Machine Learning
- Category: Hugging Face
- Category: Fine-tuning
