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    • Nlp

    NLP Courses Online

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

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    Explore the NLP Course Catalog

    • Status: Free Trial
      Free Trial
      D

      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
      Free Trial
      I

      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
      ·
      124 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      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
      Free
      C

      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
      Free Trial
      D

      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 Trial
      Free Trial
      I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Generative AI, ChatGPT, Natural Language Processing, Data Governance, Computer Science, Business Intelligence, Business Ethics, Robotic Process Automation, Content Creation, Risk Mitigation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • 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, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      535 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      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
      ·
      614 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      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, Keras (Neural Network Library), ChatGPT, Supervised Learning, Exploratory Data Analysis, Feature Engineering, Flask (Web Framework), Data Wrangling, Data Analysis, Deep Learning, Application Deployment, Generative AI Agents, Applied Machine Learning, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      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, Feature Engineering, Reinforcement Learning, Deep Learning, Generative AI Agents, Applied Machine Learning, Image Analysis, Data Manipulation, Natural Language Processing, Tensorflow, OpenAI, 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

    • 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
      ·
      369 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Natural Language Processing: DeepLearning.AI
    • Gen AI Foundational Models for NLP & Language Understanding: IBM
    • Machine Learning and NLP Basics: Edureka
    • Transfer Learning for NLP with TensorFlow Hub: Coursera Project Network
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Introduction to Artificial Intelligence (AI): IBM
    • Natural Language Processing on Google Cloud: Google Cloud
    • LangChain Chat with Your Data: DeepLearning.AI
    • IBM Generative AI Engineering: IBM
    • Deep Learning: DeepLearning.AI

    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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