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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

    • C

      CertNexus

      Build Decision Trees, SVMs, and Artificial Neural Networks

      Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      الشبكات العصبية والتعلم العميق

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Applied Machine Learning, Machine Learning, Network Architecture, Supervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Supervised Learning, Regression Analysis, Predictive Modeling, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Statistical Inference, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Advanced Analytics

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      Edureka

      Gen AI for Fraud Detection Analytics

      Skills you'll gain: Generative AI, Data Ethics, Anomaly Detection, Personally Identifiable Information, Advanced Analytics, Threat Detection, Artificial Intelligence, Regulatory Compliance, Deep Learning, Data Security, Applied Machine Learning, Information Privacy, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      R

      Rutgers the State University of New Jersey

      Robotic Process Automation (RPA) in Accounting and Auditing

      Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Financial Auditing, Workflow Management, Artificial Intelligence, Auditing, Accounting and Finance Software, Excel Macros, Emerging Technologies, Digital Transformation, Natural Language Processing, Systems Integration, Unstructured Data, Scalability, Data Management

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Create Embeddings, Vector Search, and RAG with BigQuery

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Google Cloud Platform, Natural Language Processing, Data Processing, Machine Learning Algorithms

      Advanced · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : GradCAM

      Skills you'll gain: PyTorch (Machine Learning Library), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Vector Search and Embeddings

      Skills you'll gain: Large Language Modeling, Text Mining, Google Cloud Platform, Cloud API, Artificial Neural Networks

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      T

      Tecnológico de Monterrey

      ChatGPT - Uses and Strategies

      Skills you'll gain: ChatGPT, Artificial Intelligence, Prompt Engineering, Generative AI, Business Ethics, Ethical Standards And Conduct, Education and Training, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Digital Technology and Social Change

      Skills you'll gain: Digital Transformation, Innovation, Digital Communications, Data Ethics, Machine Learning, Business Transformation, Emerging Technologies, Technology Strategies, OpenAI, Data Storage, Artificial Intelligence, Social Studies, Media and Communications, Digital Assets, Computer Science, Digital Marketing, ChatGPT, Sociology, Social Sciences, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Securing and Integrating Components of your Application 日本語版

      Skills you'll gain: Cloud Applications, Cloud API, Google Cloud Platform, Authentications, Serverless Computing, Identity and Access Management, API Design, Event-Driven Programming, Microservices, Node.JS, Authorization (Computing), Natural Language Processing, Scalability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    NLP learners also search

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    1…353637…59

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

    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • الشبكات العصبية والتعلم العميق: DeepLearning.AI
    • Statistical Learning for Data Science: University of Colorado Boulder
    • Gen AI for Fraud Detection Analytics: Edureka
    • Robotic Process Automation (RPA) in Accounting and Auditing: Rutgers the State University of New Jersey
    • Create Embeddings, Vector Search, and RAG with BigQuery: Google Cloud
    • Introduction to Machine Learning with Python: Arizona State University
    • Deep Learning with PyTorch : GradCAM: Coursera Project Network
    • Vector Search and Embeddings: Google Cloud
    • ChatGPT - Uses and Strategies: Tecnológico de Monterrey

    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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