Natural Language Processing

Natural Language Processing (NLP) is an interdisciplinary field combining computer science, artificial intelligence and linguistics, aimed at enabling computers to understand, interpret, and generate human language. Coursera's NLP catalogue teaches you about the theoretical foundations and practical applications of NLP. You'll learn to develop systems for tasks such as text classification, machine translation, sentiment analysis, and speech recognition. You'll also gain a comprehensive understanding of various NLP algorithms, techniques for semantic analysis, and the use of machine learning and deep learning in NLP. By mastering these skills, you'll be prepared to create intelligent systems that can interact and interpret human language effectively.
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Find the best NLP course for your goals

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Image Analysis, Machine Learning, Text Mining, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, Data Visualization Software, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, Predictive Modeling, Artificial Intelligence, Responsible AI

  • Status: New
    Status: Free Trial

    Skills you'll gain: Java, Java Programming, Apache Spark, Applied Machine Learning, Deep Learning, Data Processing, Application Deployment, Natural Language Processing, Data Cleansing, Machine Learning Algorithms, Machine Learning, Feature Engineering, Data Transformation, Scalability, Artificial Neural Networks, Regression Analysis, Interoperability

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Text Mining, Performance Tuning, Cloud API, Application Development, Application Programming Interface (API), Artificial Intelligence, Systems Integration, Data Ethics, Internet Of Things, Analysis, Scalability

  • Status: Free Trial

    Skills you'll gain: Text Mining, Large Language Modeling, Natural Language Processing, LLM Application, Python Programming

  • Status: New
    Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Prompt Engineering, LLM Application, Applied Machine Learning, Data Processing

  • Status: Free Trial

    University of Colorado System

    Skills you'll gain: Natural Language Processing, Text Mining, Clinical Informatics, Clinical Documentation, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing

  • Status: Free Trial

    Skills you'll gain: Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Unstructured Data, Unsupervised Learning, Dimensionality Reduction, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Data Management, Data Validation, Data Cleansing, Natural Language Processing, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Data Science, Machine Learning

  • University of Colorado Boulder

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms