intermediateCertificate$12.99
NLP - Natural Language Processing with Transformers in Python
by James Briggs · Udemy
4.6(8,200 reviews)
50K+ enrolled12 hoursUpdated 2024-09
What You'll Learn
Understand the fundamentals and key concepts of NLP
Apply NLP techniques to solve real-world problems
Understand the fundamentals and key concepts of transformers
Apply transformers techniques to solve real-world problems
Understand the fundamentals and key concepts of Hugging Face
Apply Hugging Face techniques to solve real-world problems
About This Course
Teaches transformer models for text classification, NER, question answering, and summarization using Hugging Face.
Curriculum
Module 1: NLP & Transformers6 lessons
- Introduction to NLP
- NLP in Practice
- Hands-on Exercise: NLP
- Introduction to transformers
- Transformers in Practice
- Hands-on Exercise: Transformers
Module 2: Hugging Face & Text classification6 lessons
- Introduction to Hugging Face
- Hugging Face in Practice
- Hands-on Exercise: Hugging Face
- Introduction to text classification
- Text classification in Practice
- Hands-on Exercise: Text classification
Module 3: BERT3 lessons
- Introduction to BERT
- BERT in Practice
- Hands-on Exercise: BERT
Instructor
James Briggs
Instructor at Udemy
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by James Briggs
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$12.99
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