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NLP Courses

NLP courses can help you learn text processing, sentiment analysis, language modeling, and chatbot development. You can build skills in data preprocessing, feature extraction, and evaluating model performance. Many courses introduce tools like Python libraries such as NLTK and spaCy, as well as frameworks like TensorFlow and PyTorch, that support implementing NLP techniques and developing applications that utilize artificial intelligence.


Popular NLP Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    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
    ·
    537 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Learn English: Advanced Grammar and Punctuation

    Skills you'll gain: Video Production, Grammar, Peer Review, Writing, Editing, Proofreading, English Language, Language Competency, Vocabulary, Language Learning, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.6K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Data Processing, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Transformer Models and BERT Model

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Artificial Neural Networks

    4.1
    Rating, 4.1 out of 5 stars
    ·
    124 reviews

    Advanced · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning for Healthcare

    Skills you'll gain: Deep Learning, Health Informatics, Image Analysis, Generative Model Architectures, Machine Learning, Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Graph Theory, Computer Vision, Tensorflow, PyTorch (Machine Learning Library), Predictive Modeling, Medical Science and Research, Unsupervised Learning, Program Development, Big Data

    3.3
    Rating, 3.3 out of 5 stars
    ·
    49 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    184 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Encoder-Decoder Architecture - Español

    Skills you'll gain: Generative Model Architectures, Tensorflow, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    AI CERTs

    AI for Telecommunications

    Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Internet Of Things, Telecommunications, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Responsible AI, Emerging Technologies, Wireless Networks, Generative AI, Network Performance Management, Digital Communications, Generative AI Agents, Network Architecture, Network Protocols, Computer Networking, System Design and Implementation, Communication

    Advanced · Specialization · 1 - 3 Months

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

  • Natural Language Processing on Google Cloud: Google Cloud
  • Learn English: Advanced Grammar and Punctuation: University of California, Irvine
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • More Applied Data Science with Python: University of Michigan
  • Transformer Models and BERT Model: Google Cloud
  • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
  • Machine Learning Capstone: IBM
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Generative AI, LLMs, and Advanced Applications with Python: Packt

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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