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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

      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

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Art and Science of Machine Learning em Português Brasileiro

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Applied Machine Learning, Performance Tuning, Dimensionality Reduction, Machine Learning Algorithms, Supervised Learning, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning Algorithms, Tensorflow, Deep Learning, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Predictive Analytics, Data Ethics, Algorithms, Random Forest Algorithm, Computer Vision

      Beginner · Specialization · 1 - 3 Months

    • C

      Coursera Instructor Network

      GenAI for Customer Service Representatives

      Skills you'll gain: AI Personalization, Generative AI, User Feedback, Customer Analysis, Customer Service, Customer experience improvement, Customer Engagement, Self Service Technologies, Artificial Intelligence, Business Ethics, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • S

      Sungkyunkwan University

      Recommender Systems

      Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, AI Personalization, Data Mining, Unsupervised Learning, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Analysis

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Computer Vision with TensorFlow

      Skills you'll gain: Tensorflow, Computer Vision, Machine Learning Methods, Keras (Neural Network Library), Development Environment, Image Analysis, Google Cloud Platform, Deep Learning, Artificial Neural Networks

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Fundamentals of Building AI Agents

      Skills you'll gain: Large Language Modeling, Generative AI Agents, Generative AI, Artificial Intelligence, Prompt Engineering, Agentic systems, Natural Language Processing, SQL, Data Analysis, Pandas (Python Package), Systems Design

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Intro to Artificial Intelligence on Microsoft Azure

      Skills you'll gain: Anomaly Detection, Computer Vision, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Azure Active Directory, Machine Learning, Generative AI, Predictive Modeling, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      Oracle

      Oracle Cloud Infrastructure AI Foundations

      Skills you'll gain: Generative AI, Oracle Cloud, Large Language Modeling, Artificial Intelligence, Supervised Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Unsupervised Learning, Computer Vision, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      AI & Deep Learning Concepts and Applications

      Skills you'll gain: Artificial Intelligence, Tensorflow, Machine Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Supervised Learning, Data Ethics, Algorithms, Unsupervised Learning, Emerging Technologies, Natural Language Processing, Digital Transformation, Reinforcement Learning, Data Processing, Business Ethics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Deep Learning Models in Python

      Skills you'll gain: Tensorflow, Deep Learning, Natural Language Processing, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods

      Intermediate · Course · 1 - 3 Months

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

    • Introduction to AI and Machine Learning on GC - Español: Google Cloud
    • Art and Science of Machine Learning em Português Brasileiro: Google Cloud
    • Deep Learning with Real-World Projects: Packt
    • AI ML with Deep Learning and Supervised Models: Simplilearn
    • GenAI for Customer Service Representatives: Coursera Instructor Network
    • Recommender Systems: Sungkyunkwan University
    • Introduction to Computer Vision with TensorFlow: Google Cloud
    • Fundamentals of Building AI Agents: IBM
    • Intro to Artificial Intelligence on Microsoft Azure: Microsoft
    • Oracle Cloud Infrastructure AI Foundations: Oracle

    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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