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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
      U

      Universidad de Palermo

      Data Science & Inteligencia Artificial aplicados a negocios

      Skills you'll gain: Data Ethics, Predictive Modeling, Business Transformation, Data-Driven Decision-Making, Business Leadership, Data Science, Business Analytics, Organizational Change, Innovation, Strategic Leadership, Artificial Intelligence, Natural Language Processing, Strategic Decision-Making, Applied Machine Learning, Ethical Standards And Conduct, Computer Vision

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Generative AI with Vertex AI: Build a customer chatbot

      Skills you'll gain: Cloud API, Google Cloud Platform, Text Mining, Application Programming Interface (API), Large Language Modeling, Generative AI, Natural Language Processing, Data Processing, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP en Español

      Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Big Data, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Select Topics in Python

      Skills you'll gain: Matplotlib, Version Control, Text Mining, GitHub, Large Language Modeling, Django (Web Framework), Package and Software Management, Platform As A Service (PaaS), Plot (Graphics), Application Deployment, Object-Relational Mapping, Natural Language Processing, Data Visualization Software, Data Visualization, Jupyter, Development Environment, Data Processing, Virtual Environment, Data Transformation, Dependency Analysis

      4
      Rating, 4 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Generative AI Applications and Popular Tools

      Skills you'll gain: ChatGPT, Generative AI, Computer Vision, Image Analysis, OpenAI, Prompt Engineering, Large Language Modeling, Software Development Tools, GitHub, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Foundations of mining non-structured medical data

      Skills you'll gain: Data Mining, Medical Imaging, Image Analysis, Unstructured Data, Science and Research, Health Informatics, Big Data, Health Care, Data Ethics, Natural Language Processing, Health Information Management, Medical Terminology, Predictive Analytics, Innovation

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      LangChain: Application Development Essentials

      Skills you'll gain: Application Development, OpenAI, Large Language Modeling, Application Frameworks, Generative AI, Artificial Intelligence, Prompt Engineering, Natural Language Processing

      3.3
      Rating, 3.3 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Getting Started with Amazon Comprehend

      Skills you'll gain: Amazon Web Services, Amazon S3, Natural Language Processing, Public Cloud, Text Mining, Unstructured Data, Solution Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Français

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Tensorflow, Data Analysis, Keras (Neural Network Library), Google Cloud Platform, Applied Machine Learning, Data Quality, Data Cleansing, Data Strategy, Supervised Learning, Machine Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Dataflow, Deep Learning, Machine Learning Algorithms, Data Processing, Artificial Neural Networks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Neuronale Netze und Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Python Programming, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning - Recurrent Neural Networks with TensorFlow

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms

      Beginner · Specialization · 1 - 3 Months

    NLP learners also search

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

    • Data Science & Inteligencia Artificial aplicados a negocios: Universidad de Palermo
    • Generative AI with Vertex AI: Build a customer chatbot: Coursera Project Network
    • Smart Analytics, Machine Learning, and AI on GCP en Español: Google Cloud
    • Select Topics in Python: Codio
    • Generative AI Applications and Popular Tools: Edureka
    • Foundations of mining non-structured medical data: EIT Digital
    • LangChain: Application Development Essentials: Coursera Instructor Network
    • Getting Started with Amazon Comprehend: Amazon Web Services
    • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
    • Neuronale Netze und Deep Learning: DeepLearning.AI

    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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