Current
Intermediate
40% Off
Fundamentals Of Natural Language Processing
Coursera · Coursera Project Network · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.3/10
Duration
4 weeks, 3 hours/week
Classes
28
Learn the core concepts and techniques of natural language processing. Cover tokenization, text preprocessing, word embeddings, and fundamental NLP algorithms. Build understanding of how machines process and understand human language.
What you'll get
Understand fundamental NLP concepts and workflows
Implement text preprocessing and tokenization
Work with word embeddings and semantic representations
Build basic NLP applications
Fit
Best for
Leaders
Analysts
Researchers
Decision-makers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python programming basics
Pricing
Free to audit, $49 for certificate
Certification
Certificate
Growth Leverage: Completing this course opens doors to roles such as NLP Engineer, Data Scientist, or Machine Learning Engineer, allowing you to advance toward specialized certifications like Google's Professional Machine Learning Engineer. Mastery of NLP fundamentals can lead to opportunities in tech companies leveraging AI for customer service and insights.
Skills Value: The skills learned enable you to build applications that improve user experience through natural language understanding, making you highly marketable in industries like healthcare and finance, where demand for NLP expertise can command salaries upwards of $120,000 annually.
NLP
natural-language-processing
text-analysis
machine-learning
Python