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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
      S

      SAS

      Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

      Skills you'll gain: Predictive Modeling, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Decision Tree Learning, Business Metrics, Data Analysis, Performance Measurement, Regression Analysis, Ethical Standards And Conduct, Deep Learning, Artificial Neural Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Applications of Copilot in the Workplace

      Skills you'll gain: Microsoft Copilot, Customer Relationship Management (CRM) Software, Marketing Automation, Customer experience improvement, Generative AI, Business Process Automation, Self Service Technologies, Sales Process, Sales Strategy, Customer Service, Marketing Analytics, Return On Investment, Automation, Lead Generation, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Computational Vision

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Computational Thinking, Deep Learning, Psychology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Large Language Models and Generative AI Deployment

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, System Monitoring, Continuous Monitoring, Data Cleansing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Building and Training Neural Networks with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Artificial Intelligence for Breast Cancer Detection

      Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Radiography, Epidemiology, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Using the Natural Language API from Google Docs

      Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Scripting, Text Mining, Cloud API, Application Programming Interface (API)

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Prompt Engineering and Data Analysis

      Skills you'll gain: Prompt Engineering, Data Visualization, Large Language Modeling, Text Mining, Scatter Plots, Data Visualization Software, Generative AI, Histogram, Performance Tuning, Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Generative AI in Legal

      Skills you'll gain: Legal Strategy, Legal Research, Generative AI, Legal Risk, Case Law, Regulation and Legal Compliance, Legal Proceedings, Artificial Intelligence, Legal Writing, Document Management, ChatGPT, Ethical Standards And Conduct, Automation, Natural Language Processing, Client Services

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Generative AI and Symbolic Reasoning

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, OpenAI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Meaningful Predictive Modeling

      Skills you'll gain: Predictive Modeling, Data Validation, Verification And Validation, Regression Analysis, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Python Programming, Statistical Methods, Scikit Learn (Machine Learning Library), Text Mining, Test Data, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Open Source Models with Hugging Face

      Skills you'll gain: Generative AI, Cloud Applications, Natural Language Processing, Application Deployment, Open Source Technology, Applied Machine Learning, User Interface (UI), API Design, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Project · Less Than 2 Hours

    NLP learners also search

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    1…303132…61

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

    • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
    • Applications of Copilot in the Workplace: Microsoft
    • Computational Vision: University of Colorado Boulder
    • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
    • Building and Training Neural Networks with PyTorch: Packt
    • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
    • Using the Natural Language API from Google Docs: Google Cloud
    • NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
    • Introduction to Generative AI in Legal: Coursera Instructor Network
    • Generative AI and Symbolic Reasoning: Johns Hopkins University

    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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