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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

      Natural Language Processing

      Skills you'll gain: Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Artificial Neural Networks, Probability & Statistics, Statistical Machine Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Human Learning, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Machine Learning, Natural Language Processing, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Machine Learning, Natural Language Processing, Probability & Statistics, Python Programming, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Human Learning, Statistical Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Machine Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning Software, Network Model, Algorithms, Computer Programming, Computer Vision, Network Architecture, Natural Language Processing, Tensorflow, Human Learning, Data Analysis, Data Model, Exploratory Data Analysis, Organizational Development, Strategy, Mathematics, Mathematical Theory & Analysis, Linear Algebra, Regression, Calculus

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      145K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      LangChain Chat with Your Data

      Skills you'll gain: Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      551 reviews

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Machine Learning, Natural Language Processing, Tensorflow

      4.4
      Rating, 4.4 out of 5 stars
      ·
      529 reviews

      Advanced · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Machine Learning, Algorithms, Artificial Neural Networks, Deep Learning, Human Learning, Machine Learning Algorithms, Network Model, Applied Machine Learning, Network Architecture, Python Programming, Software Testing, Plot (Graphics), Tensorflow, Application Development, Computer Programming, Data Analysis, Data Science, Data Visualization, Exploratory Data Analysis, General Statistics, Natural Language Processing, Probability & Statistics, Regression, Reinforcement Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      78K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Statistical Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Artificial Neural Networks, Data Science, Deep Learning, Human Learning, Machine Learning, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Natural Language Processing, Statistical Programming, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      C

      Coursera Project Network

      Transfer Learning for NLP with TensorFlow Hub

      Skills you'll gain: Deep Learning, Machine Learning, Natural Language Processing, Tensorflow

      4.8
      Rating, 4.8 out of 5 stars
      ·
      174 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Searches related to nlp

    nlp in engineering: concepts & real-world applications
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    nlp system architecture and dev-ops
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    introduction to nlp and syntactic processing
    transfer learning for nlp with tensorflow hub
    data streaming and nlp with pyspark
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    1234…10

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

    • Natural Language Processing: DeepLearning.AI
    • Generative AI with Large Language Models: DeepLearning.AI
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Deep Learning: DeepLearning.AI
    • LangChain Chat with Your Data: DeepLearning.AI
    • Natural Language Processing on Google Cloud: Google Cloud
    • IBM Generative AI Engineering: IBM
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • Introduction to Artificial Intelligence (AI): IBM
    • Natural Language Processing with Sequence Models: 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. ‎

    Looking to enhance your team's NLP skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our NLP training options and make a purchase, please visit our Coursera for Teams page.‎

    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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