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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
      P

      Packt

      PyTorch Ultimate 2024 - From Basics to Cutting-Edge

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Generative AI, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Text Mining, Python Programming, Supervised Learning, Regression Analysis, Google Cloud Platform, Data Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      LLMOps

      Skills you'll gain: Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Data Pipelines, Software Versioning, Data Processing, Data Ethics, Data Transformation, Application Deployment, Supervised Learning

      4.1
      Rating, 4.1 out of 5 stars
      ·
      21 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Follow a Machine Learning Workflow

      Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Solution Delivery, Application Deployment, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Deployment Scenarios with TensorFlow

      Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Information Privacy, Web Servers, Artificial Neural Networks, Data Security, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      510 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Computer Vision in Microsoft Azure

      Skills you'll gain: Image Analysis, Computer Vision, Artificial Intelligence, Microsoft Azure, Applied Machine Learning, Data Processing, Natural Language Processing, Deep Learning, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      106 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Enhance your Writing with Noun Clauses

      Skills you'll gain: Grammar, English Language

      4.9
      Rating, 4.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Generative AI, Applied Machine Learning, Natural Language Processing, Python Programming, Performance Tuning

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow Google Cloud 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Machine Learning Methods, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Jupyter, Dataflow, Artificial Neural Networks, Data Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Theoretical Computer Science, Supervised Learning, Classification And Regression Tree (CART), Statistical Machine Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Decision Tree Learning, Algorithms, Unsupervised Learning, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust for Large Language Model Operations (LLMOps)

      Skills you'll gain: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Application Deployment, System Monitoring, Cloud Development, Natural Language Processing, DevOps, Amazon Web Services, Deep Learning, Cloud Security

      4.1
      Rating, 4.1 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Program Development

      3.2
      Rating, 3.2 out of 5 stars
      ·
      45 reviews

      Advanced · Specialization · 1 - 3 Months

    NLP learners also search

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    1…232425…61

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

    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • LLMOps: DeepLearning.AI
    • Follow a Machine Learning Workflow: CertNexus
    • Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
    • Computer Vision in Microsoft Azure: Microsoft
    • Enhance your Writing with Noun Clauses: University of California, Irvine
    • Introduction to Deep Learning: University of Colorado Boulder
    • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • Rust for Large Language Model Operations (LLMOps): Duke 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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