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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

    • A

      Amazon Web Services

      Introduction to Machine Learning on AWS

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      135 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to your Data with Google Cloud

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Supervised Learning, Predictive Modeling, Deep Learning, Natural Language Processing, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, IBM Cloud, Google Cloud Platform, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      201 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Open Source LLMOps Solutions

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Open Source Technology, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Application Deployment, Application Programming Interface (API), Command-Line Interface

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • V

      Vanderbilt University

      Generative AI Primer

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Artificial Intelligence, Innovation, Large Language Modeling, Creativity, Creative Problem-Solving, Human Machine Interfaces, Collaboration, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Processamento Neural de Linguagem Natural em Português I

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Text Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Computer Vision Fundamentals with Google Cloud

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Machine Learning Methods, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Small Data, Data Processing, Cloud API

      4.5
      Rating, 4.5 out of 5 stars
      ·
      543 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Photography, Artificial Neural Networks, Virtual Reality, Medical Imaging, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Automation Engineering, Mathematical Modeling, Machine Learning Algorithms, Estimation, Electronic Components, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      212 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidad Nacional Autónoma de México

      Sesenta años de inteligencia artificial

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Social Sciences, Generative AI, Natural Language Processing, Deep Learning, Emerging Technologies, Human Computer Interaction, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      446 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI: Elevate your Software Development Career

      Skills you'll gain: Large Language Modeling, Generative AI, CI/CD, ChatGPT, Software Development, Software Development Life Cycle, Prompt Engineering, DevSecOps, Data Ethics, Artificial Intelligence, OpenAI, Natural Language Processing, Prototyping, Software Architecture, Code Review, Software Testing, Software Design Patterns

      4.5
      Rating, 4.5 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Innovations in Investment Technology: Artificial Intelligence

      Skills you'll gain: Investment Management, Wealth Management, Asset Management, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      383 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Introduction to Machine Learning on AWS: Amazon Web Services
    • Applying Machine Learning to your Data with Google Cloud: Google Cloud
    • Generative AI: Foundation Models and Platforms: IBM
    • Open Source LLMOps Solutions: Duke University
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Generative AI Primer: Vanderbilt University
    • Processamento Neural de Linguagem Natural em Português I: Universidade de São Paulo
    • Computer Vision Fundamentals with Google Cloud: Google Cloud
    • First Principles of Computer Vision: Columbia University
    • Sesenta años de inteligencia artificial: Universidad Nacional Autónoma de México

    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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