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NLP Courses

Master natural language processing (NLP) for analyzing text data. Learn about text classification, sentiment analysis, and language models.

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Find the best NLP course for your goals

  • Status: Free Trial
    Free Trial
    E

    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
    ·
    29 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM GenAI Engineering with PyTorch, LangChain & Hugging Face

    Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, LLM Application, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    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
    Free
    D

    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
    ·
    643 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Text Mining, Data Science, Data Processing, Supervised Learning, Applied Machine Learning, Unstructured Data, Markov Model

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • A

    Alfaisal University | KLD

    البرمجة اللغوية العصبية | NLP

    Skills you'll gain: Interpersonal Communications, Self-Awareness, Social Skills, Rapport Building, Active Listening, Emotional Intelligence, Communication, Personal Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    57 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Natural Language Processing Essentials

    Skills you'll gain: Artificial Intelligence, Scikit Learn (Machine Learning Library)

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Regression Analysis, Large Language Modeling, No-Code Development, Predictive Modeling, Machine Learning Algorithms, Automation, Supervised Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    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
    ·
    370 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Health Policy, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    593 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Natural Language Processing in Microsoft Azure

    Skills you'll gain: Text Mining, Natural Language Processing, Microsoft Azure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Application Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    120 reviews

    Beginner · Course · 1 - 4 Weeks

NLP learners also search

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1234…24

In summary, here are 10 of our most popular nlp courses

  • Machine Learning and NLP Basics: Edureka
  • IBM GenAI Engineering with PyTorch, LangChain & Hugging Face: IBM
  • Introduction to Artificial Intelligence (AI): IBM
  • LangChain Chat with Your Data: DeepLearning.AI
  • Natural Language Processing with Real-World Projects: Packt
  • Mathematics for Machine Learning: Imperial College London
  • البرمجة اللغوية العصبية | NLP : Alfaisal University | KLD
  • Natural Language Processing Essentials: Edureka
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • NLP: Twitter Sentiment Analysis: Coursera Project Network

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about Nlp

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

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.‎

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.‎

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. ‎

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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