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.

Top Nlp Courses - Learn Nlp Online

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 Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra
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, Feature Engineering, Statistical Methods
4.4
Rating, 4.4 out of 5 stars
153 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Edureka
Machine Learning and NLP Basics
Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Supervised Learning, Artificial Intelligence, Data Science, Data Processing, Computer Vision, Reinforcement Learning
3.3
Rating, 3.3 out of 5 stars
27 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Edureka
Mastering NLP: Tokenization, Sentiment Analysis & Neural MT
Skills you'll gain: Natural Language Processing, Large Language Modeling, Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Artificial Intelligence, Scikit Learn (Machine Learning Library), Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Applied Machine Learning, Unified Modeling Language
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Transfer Learning for NLP with TensorFlow Hub
Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Applied Machine Learning, Deep Learning, Machine Learning, Software Visualization
4.8
Rating, 4.8 out of 5 stars
181 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
DeepLearning.AI
Natural Language Processing with Classification and Vector Spaces
Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
4.6K reviews
Intermediate · Course · 1 - 4 Weeks

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Status: Free Trial
IBM
IBM Generative AI Engineering
Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, LangChain, Large Language Modeling, Prompt Patterns, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, LLM Application, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
92K reviews
Beginner · Professional Certificate · 3 - 6 Months
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, Feature Engineering
4.4
Rating, 4.4 out of 5 stars
535 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
IBM
Introduction to Artificial Intelligence (AI)
Skills you'll gain: Generative AI, Responsible AI, LLM Application, Natural Language Processing, Market Opportunities
4.7
Rating, 4.7 out of 5 stars
21K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
IBM AI Engineering
Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Reinforcement Learning, LLM Application, Deep Learning, Generative AI Agents, Applied Machine Learning, Natural Language Processing, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Python Programming, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
21K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free
DeepLearning.AI
LangChain Chat with Your Data
Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Extract, Transform, Load, Data Processing, Data Import/Export, Semantic Web, Generative AI, Prompt Engineering, Document Management
4.8
Rating, 4.8 out of 5 stars
632 reviews
Beginner · Project · Less Than 2 Hours
Status: New
Status: Free Trial
Pearson
Introduction to Transformer Models for NLP
Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API
Intermediate · Specialization · 1 - 4 Weeks