Intermediate to Advanced Certificate
Natural Language Processing Mastery
Master the art of processing and understanding human language with machines. From traditional NLP techniques to modern transformer-based models, this course covers everything you need to build production-ready NLP applications.
4.9(1,234 reviews)
8,456 students35 hoursUpdated March 2026Dr. Emily Watson
NLP Lead at 1.ML
Free
Full access to all content
Duration35 hours
Lessons95
LevelIntermediate to Advanced
LanguageEnglish
CertificateIncluded
What You'll Learn
Text preprocessing and tokenization
Word embeddings and language models
Named entity recognition and POS tagging
Sentiment analysis and text classification
Machine translation with transformers
Build and fine-tune large language models
Requirements
- Python programming
- Basic machine learning knowledge
- Familiarity with neural networks
- English language proficiency
Course Curriculum
Introduction to NLPFREE
30:00Text PreprocessingFREE
1:00:00Tokenization Strategies
45:00Regular Expressions for NLP
50:00Instructor
Dr. Emily Watson
NLP Lead at 1.ML
Dr. Emily Watson leads the NLP team at 1.ML. With a PhD from Berkeley in computational linguistics, she has built production NLP systems serving millions of users. Her passion is bridging the gap between research and practical applications.