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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: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Agentic systems, Large Language Modeling, Database Management, Artificial Intelligence and Machine Learning (AI/ML), Databases, OpenAI, Tensorflow, Artificial Intelligence, PyTorch (Machine Learning Library), Information Management, Image Analysis, Natural Language Processing, Application Development, Data Management, Full-Stack Web Development, Flask (Web Framework), AI Personalization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Image Analysis, Artificial Neural Networks, Natural Language Processing, Deep Learning, Artificial Intelligence, Machine Learning Methods, Probability & Statistics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      96 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Machine Learning, Feature Engineering, Data Modeling, Application Deployment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Fundamentals of Generative AI for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Neural Networks, Software Development Tools, Artificial Intelligence, Data Ethics, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      L’IA pour tous

      Skills you'll gain: Business Strategy, Artificial Intelligence, Data Ethics, Technology Strategies, Artificial Neural Networks, Business Intelligence, Data Science, Cross-Functional Collaboration, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence

      Skills you'll gain: Google Cloud Platform, Tensorflow, Artificial Intelligence, Data Ethics, Cloud API, Data Quality, Machine Learning, Applied Machine Learning, Cloud Computing, Business Solutions, Natural Language Processing, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 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

    • D

      DeepLearning.AI

      IA Para Todos (Português)

      Skills you'll gain: Business Strategies, Business Strategy, Artificial Intelligence, Data Ethics, Team Building, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning, Data Modeling, Business Transformation, Business Operations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation

      Skills you'll gain: Language Interpretation, Translation, and Studies, Quality Assurance, Natural Language Processing, Language Competency, Document Management, Information Technology, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 3 - 6 Months

    • 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
      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

    NLP learners also search

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

    • IBM RAG and Agentic AI: IBM
    • Introduction to Generative AI: University of Colorado Boulder
    • Follow a Machine Learning Workflow: CertNexus
    • Fundamentals of Generative AI for Beginners: Amazon Web Services
    • L’IA pour tous: DeepLearning.AI
    • Innovating with Google Cloud Artificial Intelligence: Google Cloud
    • AI for Scientific Research: LearnQuest
    • Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
    • IA Para Todos (Português): DeepLearning.AI
    • 计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation: Peking 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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