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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

    • D

      DeepLearning.AI

      Data Modeling, Transformation, and Serving

      Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Manipulation, Star Schema, Applied Machine Learning, Real Time Data, Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Generative AI

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Large Language Modeling, Artificial Intelligence, Data Ethics, Natural Language Processing, GitHub, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      239 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      AI for Knowledge Workers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Innovation, Artificial Neural Networks, Brainstorming, Machine Learning, Deep Learning, Workforce Development, Content Creation, Emerging Technologies, Information Privacy, Safety and Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Glasgow

      Generative Pre-trained Transformers (GPT)

      Skills you'll gain: Large Language Modeling, ChatGPT, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Prompt Engineering, Tensorflow, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Building AI Agents: Automation and NLP Foundations

      Skills you'll gain: Generative AI Agents, Artificial Intelligence, Agentic systems, OpenAI, Automation, ChatGPT, Generative AI, Business Process Automation, Software Development Tools, Prompt Engineering, Large Language Modeling, Decision Making, Ethical Standards And Conduct, Performance Analysis

      Intermediate · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Artificial Intelligence: An Overview

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Computer Science, Computer Vision, Technology Strategies, Natural Language Processing, Innovation, Computer Hardware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      164 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      133 reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidad Austral

      Introducción al procesamiento de lenguaje natural

      Skills you'll gain: Natural Language Processing, Data Processing, Text Mining, Pandas (Python Package), Analysis, Big Data, Unstructured Data, Scikit Learn (Machine Learning Library), Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Beginning Llamafile for Local Large Language Models (LLMs)

      Skills you'll gain: Large Language Modeling, Application Programming Interface (API), Restful API, Natural Language Processing, MLOps (Machine Learning Operations), JSON, Servers, Command-Line Interface, Open Source Technology

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Fundamentals of Generative AI for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Neural Networks, Software Development Tools, Test Data, Artificial Intelligence, Data Ethics, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 4 Weeks

    NLP learners also search

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

    • Data Modeling, Transformation, and Serving: DeepLearning.AI
    • Introduction to Generative AI: Duke University
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • AI for Knowledge Workers: University of California, Davis
    • Generative Pre-trained Transformers (GPT): University of Glasgow
    • Fundamentals of Machine Learning in Finance: New York University
    • Building AI Agents: Automation and NLP Foundations: Coursera Instructor Network
    • Artificial Intelligence: An Overview: Politecnico di Milano
    • Machine Learning Capstone: IBM
    • Introducción al procesamiento de lenguaje natural: Universidad Austral

    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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