What skills can I learn in NLP courses on Coursera?

Natural Language Processing (NLP) courses on Coursera equip learners with a variety of skills crucial for understanding and manipulating human language data, including: Fundamentals of linguistics and how computers interpret human language Techniques for text processing, sentiment analysis , and language modeling Application of machine learning models to NLP tasks such as translation and speech recognition Implementation of NLP solutions using popular programming libraries like NLTK and SpaCy Understanding of advanced concepts in deep learning for NLP, such as transformers and BERT models Ethical considerations in NLP, focusing on bias mitigation and data privacy

Do I need prior experience in programming or linguistics to start these NLP courses?

NLP courses on Coursera cater to learners with various levels of experience: No prior programming or linguistic experience is required for introductory courses, which cover the basics of NLP and its applications. Intermediate courses expect some familiarity with programming, ideally in Python, and cover more sophisticated techniques in NLP. Advanced courses are suitable for those with a solid background in both programming and machine learning, focusing on cutting-edge NLP technologies and their implications.

What certifications and credentials can I earn through NLP courses on Coursera?

Participating in NLP courses on Coursera can lead to a variety of credentials that demonstrate your capabilities: Course certificates for each NLP course you complete, which can highlight your specific skills in language processing. Professional certificates that consolidate your expertise across multiple NLP applications, proving your comprehensive knowledge. Specializations or Mastertrack certificates that explore more complex NLP topics, suitable for advancing your career in data science and AI fields.

What career opportunities are available with skills in NLP?

Proficiency in NLP can enhance your qualifications for a range of careers in technology and data analysis, including: Data Scientist specializing in text and language data analysis AI Engineer developing systems that understand and generate human language Research Scientist in academia or industry focusing on advancing NLP technologies NLP Specialist in technology firms creating more intuitive user interactions Content Strategist using NLP tools to analyze and optimize digital content These roles leverage NLP skills to develop innovative solutions that improve how we interact with technology and each other through language.

Can I take free NLP courses on Coursera?

Yes. You can start learning NLP skills on Coursera for free in two ways: Preview the first module of many NLP courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available). Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial. If you want to keep learning, earn a certificate in natural language processing, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.

Best NLP Courses & Certificates [2025]

Explore the NLP Course Catalog

Status: Free Trial
DeepLearning.AI
Natural Language Processing
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Data Cleansing, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
6.1K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Gen AI Foundational Models for NLP & Language Understanding
Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Semantic Web, Applied Machine Learning, Feature Engineering, Statistical Methods
4.4
Rating, 4.4 out of 5 stars
125 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Edureka
Machine Learning and NLP Basics
Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data, Artificial Intelligence
3.4
Rating, 3.4 out of 5 stars
25 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Transfer Learning for NLP with TensorFlow Hub
Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Deep Learning, Machine Learning
4.8
Rating, 4.8 out of 5 stars
178 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
Introduction to Artificial Intelligence (AI)
Skills you'll gain: OpenAI, Generative AI, ChatGPT, Natural Language Processing
4.7
Rating, 4.7 out of 5 stars
20K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Natural Language Processing on Google Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)
4.4
Rating, 4.4 out of 5 stars
535 reviews
Advanced · Course · 1 - 3 Months

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Status: Free Trial
IBM
IBM Generative AI Engineering
Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, ChatGPT, Keras (Neural Network Library), Supervised Learning, Exploratory Data Analysis, Flask (Web Framework), Data Wrangling, Deep Learning, Data Analysis, Jupyter, Regression Analysis, Scikit Learn (Machine Learning Library), Application Deployment, OpenAI
4.6
Rating, 4.6 out of 5 stars
89K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
DeepLearning.AI
Natural Language Processing with Classification and Vector Spaces
Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
4.6K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
LangChain Chat with Your Data
Skills you'll gain: Large Language Modeling, Data Processing, Data Store, Data Access, Generative AI, Prompt Engineering, Document Management, Query Languages, Natural Language Processing
4.8
Rating, 4.8 out of 5 stars
618 reviews
Beginner · Project · Less Than 2 Hours
Status: Free Trial
IBM
IBM AI Engineering
Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Image Analysis, Data Manipulation, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
20K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
DeepLearning.AI
Deep Learning
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Linear Algebra, Analysis
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
146K reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
NLP: Twitter Sentiment Analysis
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Python Programming, Applied Machine Learning, Supervised Learning, Machine Learning
4.6
Rating, 4.6 out of 5 stars
369 reviews
Beginner · Guided Project · Less Than 2 Hours