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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
      L

      LearnQuest

      Machine Learning Models in Science

      Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Cohere - An Introduction

      Skills you'll gain: Natural Language Processing, Generative AI, Performance Tuning, Application Programming Interface (API), Application Development, Artificial Intelligence, Systems Integration, Internet Of Things, Analysis, Big Data, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Classify Text into Categories with the Natural Language API

      Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API)

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Deep Learning for Real Estate Price Prediction

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation, Performance Analysis, Real Estate, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning Algorithms, Tensorflow, Deep Learning, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Predictive Analytics, Data Ethics, Algorithms, Random Forest Algorithm, Computer Vision

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      N

      Northeastern University

      Responsible AI for Mental Health

      Skills you'll gain: Data Ethics, Health Disparities, Health Equity, Mental Health, Artificial Intelligence, Mental Health Diseases and Disorders, Natural Language Processing, Healthcare Ethics, Psychotherapy, Patient Assistance, Mental Health Therapies, Information Privacy, Diversity Awareness, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Create a Superhero Name Generator with TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Machine Learning Methods, Text Mining, Artificial Neural Networks, Deep Learning, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Comportamiento adaptativo

      Skills you'll gain: Artificial Intelligence, Algorithms, Systems Thinking, Artificial Neural Networks, Simulations, Computational Thinking, Network Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Database Projects: AI Recommendation Systems

      Skills you'll gain: Databases, MongoDB, Data Store, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Generative AI, Cloud API

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Copenhagen Business School

      AI and the Illusion of Intelligence

      Skills you'll gain: Artificial Intelligence, Large Language Modeling, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Statistical Machine Learning, Statistical Analysis, Computational Thinking, Human Computer Interaction, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      4
      Rating, 4 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Introducción al deep learning contemporáneo

      Skills you'll gain: Generative AI, Deep Learning, Image Analysis, Artificial Neural Networks, PyTorch (Machine Learning Library), Machine Learning Methods, Tensorflow, Computer Vision, Natural Language Processing, Time Series Analysis and Forecasting

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Machine Learning Models in Science: LearnQuest
    • Cohere - An Introduction: Board Infinity
    • Classify Text into Categories with the Natural Language API: Google Cloud
    • Deep Learning for Real Estate Price Prediction: Coursera Project Network
    • AI ML with Deep Learning and Supervised Models: Simplilearn
    • Responsible AI for Mental Health: Northeastern University
    • Create a Superhero Name Generator with TensorFlow: Coursera Project Network
    • Comportamiento adaptativo: Universidad Nacional Autónoma de México
    • Vector Database Projects: AI Recommendation Systems: IBM
    • AI and the Illusion of Intelligence: Copenhagen Business School

    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, Coursera offers a variety of free courses across many topics, including NLP. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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