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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

    • G

      Google Cloud

      Machine Learning Operations with Vertex AI: Model Evaluation

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, System Monitoring, Google Cloud Platform, Data Quality, Machine Learning, A/B Testing, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Applications with Vector Databases

      Skills you'll gain: Anomaly Detection, Database Application, Large Language Modeling, Semantic Web, Application Development, Natural Language Processing, Image Analysis, AI Personalization, Information Architecture

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Curso Completo de Deep Learning

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Machine Learning, Machine Learning Algorithms, Data Processing

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      Universidad Austral

      Optimización de Redes Neuronales Profundas

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Statistical Analysis, Machine Learning Algorithms, Analysis, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      Exam Prep AIF-C01: AWS Certified AI Practitioner

      Skills you'll gain: Prompt Engineering, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Amazon Web Services, Large Language Modeling, AWS Identity and Access Management (IAM), Machine Learning, Cloud Security, Amazon CloudWatch, Amazon S3, Deep Learning, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Big Data, Apache Spark, Apache Hadoop, Jupyter, PySpark, Cloud Storage, Cloud Services, Apache Hive, Data Processing, Unstructured Data, Natural Language Processing, Distributed Computing, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Python per la Data Science

      Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Unsupervised Text Classification for Marketing Analytics

      Skills you'll gain: Unsupervised Learning, Unstructured Data, Deep Learning, Jupyter, Text Mining, Machine Learning Methods, Applied Machine Learning, Machine Learning, JSON, Natural Language Processing, Machine Learning Algorithms, Marketing Analytics, Data Processing, Data Wrangling

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Network Analysis for Marketing Analytics

      Skills you'll gain: Network Analysis, Marketing Analytics, Data Science, Unstructured Data, Analytics, Text Mining, Semantic Web, Data Structures, Social Media, Data Visualization Software, Data Visualization, Natural Language Processing, Statistical Methods, Data Processing

      Build toward a degree

      2.8
      Rating, 2.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Español

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Cloud Infrastructure, Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Automation, Supervised Learning

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Web Scraping With GPT: Translate Foreign News Headlines

      Skills you'll gain: Web Scraping, Real Time Data, OpenAI, Natural Language Processing, Python Programming, Web Applications, Generative AI, Application Development

      Intermediate · Guided Project · Less Than 2 Hours

    NLP learners also search

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

    • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
    • Generative AI: Foundations and Concepts: Northeastern University
    • Building Applications with Vector Databases: DeepLearning.AI
    • Curso Completo de Deep Learning: Coursera Project Network
    • Optimización de Redes Neuronales Profundas: Universidad Austral
    • Exam Prep AIF-C01: AWS Certified AI Practitioner: Whizlabs
    • Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro: Google Cloud
    • Python per la Data Science: Università di Napoli Federico II
    • Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Network Analysis for Marketing Analytics: University of Colorado Boulder

    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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