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 2026

Dr. 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
30:00
Text PreprocessingFREE
1:00:00
Tokenization Strategies
45:00
Regular Expressions for NLP
50:00

Instructor

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.