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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
      U

      University of Michigan

      AI for Autonomous Vehicles and Robotics

      Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Deep Learning, Artificial Intelligence, Statistical Machine Learning, Reinforcement Learning, Artificial Neural Networks, Automation, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Entity and Sentiment Analysis with the Natural Language API

      Skills you'll gain: Natural Language Processing, Text Mining, Google Cloud Platform, Cloud API, Unstructured Data, Analysis, API Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      H

      H2O.ai

      H2O ai Large Language Models (LLMs) - Level 2

      Skills you'll gain: Collaborative Software, Large Language Modeling, Data Validation, Data Cleansing, Natural Language Processing, MLOps (Machine Learning Operations), Data Processing, Data Transformation, Verification And Validation, Data Quality, Feature Engineering, Performance Tuning, User Interface (UI)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Developing Explainable AI (XAI)

      Skills you'll gain: Data Ethics, Generative AI, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Information Privacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

      Skills you'll gain: ChatGPT, Development Environment, Text Mining, Generative AI, OpenAI, Database Management, Data Storage, Data Processing, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Leeds

      How to Get Into AI

      Skills you'll gain: Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Automation, Ethical Standards And Conduct, Machine Learning, Analytical Skills, Natural Language Processing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with ChatGPT: Image Classification Model

      Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Data Import/Export, Test Data, Performance Tuning, Artificial Neural Networks, Data Processing, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Object Localization with TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      113 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      89 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Deep Learning for Natural Language Processing

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Deep Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Tensorflow, OpenAI, Network Architecture, Machine Learning Algorithms, Python Programming

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Social Media Analytics

      Skills you'll gain: Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Data Literacy, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytical Skills, Data Manipulation, Facebook, Sociology, Natural Language Processing, Text Mining, Analytics, Trend Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    NLP learners also search

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

    • AI for Autonomous Vehicles and Robotics: University of Michigan
    • Entity and Sentiment Analysis with the Natural Language API: Google Cloud
    • H2O ai Large Language Models (LLMs) - Level 2: H2O.ai
    • Developing Explainable AI (XAI): Duke University
    • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
    • How to Get Into AI: University of Leeds
    • Machine Learning with ChatGPT: Image Classification Model: Coursera Project Network
    • Object Localization with TensorFlow: Coursera Project Network
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Machine Learning Using SAS Viya: SAS

    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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