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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

      Using the Natural Language API from Google Docs

      Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Scripting, Text Mining, Cloud API, Application Programming Interface (API)

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Prompt Engineering and Data Analysis

      Skills you'll gain: Prompt Engineering, Data Visualization, Large Language Modeling, Text Mining, Scatter Plots, Data Visualization Software, Generative AI, Histogram, Performance Tuning, Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, User Feedback, Performance Analysis, Project Performance, Business Metrics, Natural Language Processing, Project Implementation, Time Series Analysis and Forecasting, Continuous Monitoring

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Hyperparameter Tuning with Keras Tuner

      Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      시퀀스 모델

      Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Time Series Analysis and Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Building Autonomous AI Agents with LangGraph

      Skills you'll gain: Generative AI Agents, Agentic systems, OpenAI, Artificial Intelligence, ChatGPT, Generative AI, Query Languages, User Interface (UI), Prompt Engineering, Large Language Modeling, Software Architecture, UI Components, Natural Language Processing, Python Programming, Human Machine Interfaces, Application Frameworks, Automation, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Open Source Models with Hugging Face

      Skills you'll gain: Generative AI, Cloud Applications, Natural Language Processing, Application Deployment, Open Source Technology, Applied Machine Learning, User Interface (UI), API Design, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning: Recurrent Neural Networks with Python

      Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Network Architecture, Machine Learning Algorithms, Data Processing, Data Analysis

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP 日本語版

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      National Taiwan University

      機器學習技法 (Machine Learning Techniques)

      Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Machine Learning, Applied Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Applications of Copilot in the Workplace

      Skills you'll gain: Microsoft Copilot, Customer Relationship Management (CRM) Software, Marketing Automation, Customer experience improvement, Generative AI, Business Process Automation, Self Service Technologies, Sales Process, Sales Strategy, Customer Service, Marketing Analytics, Return On Investment, Automation, Lead Generation, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Generative AI and Symbolic Reasoning

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, OpenAI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…303132…60

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

    • Using the Natural Language API from Google Docs: Google Cloud
    • NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
    • AI Workflow: AI in Production: IBM
    • Hyperparameter Tuning with Keras Tuner: Coursera Project Network
    • 시퀀스 모델: DeepLearning.AI
    • Building Autonomous AI Agents with LangGraph: Packt
    • Open Source Models with Hugging Face: DeepLearning.AI
    • Deep Learning: Recurrent Neural Networks with Python: Packt
    • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
    • 機器學習技法 (Machine Learning Techniques): National Taiwan University

    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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