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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

    • I

      IBM

      Generative AI for Software Developers

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Data Mining

      Skills you'll gain: Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Anomaly Detection, Analytics, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI for Good

      Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Natural Language Processing, Unstructured Data, Information Privacy, Deep Learning, Data Processing, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      459 reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of NLP and Transformers

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

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Applied Generative AI & NLP with Python

      Skills you'll gain: Prompt Engineering, Natural Language Processing, Generative AI, Large Language Modeling, OpenAI, Text Mining, Artificial Intelligence, Python Programming, Feature Engineering, Data Processing, Deep Learning, Databases, Applied Machine Learning

      Intermediate · Course · 3 - 6 Months

    • I

      IBM

      Generative AI Language Modeling with Transformers

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Large Language Modeling, Natural Language Processing, Text Mining, Deep Learning, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      78 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Applied Text Mining in Python

      Skills you'll gain: Text Mining, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Processing, Feature Engineering, Data Manipulation, Data Cleansing, Unsupervised Learning, Supervised Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Prerequisites and Advanced Machine Learning for NLP

      Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, Machine Learning Algorithms, Deep Learning, NumPy, Seaborn, Pandas (Python Package), Python Programming, Machine Learning, Artificial Neural Networks, Natural Language Processing, Supervised Learning, Regression Analysis, Data Manipulation, Data Structures

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Generative AI for Software Developers: IBM
    • Convolutional Neural Networks: DeepLearning.AI
    • Data Mining: University of Illinois Urbana-Champaign
    • AI for Good: DeepLearning.AI
    • Introduction to Computer Vision and Image Processing: IBM
    • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • Applied Generative AI & NLP with Python: Packt
    • Generative AI Language Modeling with Transformers: IBM
    • Applied Text Mining in Python: University of Michigan

    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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