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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

    • D

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Developing AI Applications with Python and Flask

      Skills you'll gain: Unit Testing, Application Deployment, Flask (Web Framework), Software Testing, Application Development, Python Programming, Package and Software Management, Web Applications, Application Programming Interface (API), Natural Language Processing, Artificial Intelligence, IBM Cloud, Programming Principles, Style Guides

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Sequences, Time Series and Prediction

      Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Applied Machine Learning, Deep Learning, Predictive Modeling, Artificial Neural Networks, Forecasting, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Machine Learning Algorithms, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      840 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, AI Personalization, Large Language Modeling, Mobile Development, OpenAI, CI/CD, Software Development, Software Development Life Cycle, DevSecOps, Machine Learning Methods, Data Ethics, Artificial Intelligence, Cloud Applications, Natural Language Processing, Cloud Development, Prototyping, Software Architecture, Program Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.3K reviews

      Advanced · Specialization · 1 - 3 Months

    • U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, OpenAI, Dashboard, Data Storytelling, Large Language Modeling, Artificial Intelligence, Program Development, SQL, Data Analysis, Image Analysis, Content Creation, Business Ethics, Virtual Environment, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Generative AI for Cybersecurity Professionals

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), Threat Modeling, OpenAI, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Large Language Modeling, Artificial Intelligence, Natural Language Processing, Program Development, Anomaly Detection, Vulnerability Management, Image Analysis, Content Creation, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
    • Developing AI Applications with Python and Flask: IBM
    • Sequences, Time Series and Prediction: DeepLearning.AI
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • IA Para Todos (Español): DeepLearning.AI
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Generative AI for Mobile App Developers: IBM
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Generative AI for Business Intelligence (BI) Analysts: IBM
    • Unsupervised Learning, Recommenders, Reinforcement 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, 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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