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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
      J

      Johns Hopkins University

      Foundations of Neural Networks

      Skills you'll gain: Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Linear Algebra, Markov Model, Data-Driven Decision-Making, Natural Language Processing

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Deploy A Microsoft Azure Speech To Text Web App

      Skills you'll gain: Application Deployment, Microsoft Azure, Cloud Services, Natural Language Processing, Web Applications, Application Development, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Instructor Network

      OpenAI: Consistent Response Strategies

      Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, Generative AI, Technical Communication, Sampling (Statistics), Natural Language Processing, Performance Tuning

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Embedding Models: From Architecture to Implementation

      Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Semantic Web, Natural Language Processing, Text Mining, Applied Machine Learning

      Beginner · Project · Less Than 2 Hours

    • F

      Fundação Instituto de Administração

      Fundamentos de Inteligência Artifical em Marketing

      Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, MarTech, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Keras Deep Learning & Generative Adversarial Networks (GAN)

      Skills you'll gain: Keras (Neural Network Library), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Exploratory Data Analysis, Predictive Modeling, Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Processing, Data Analysis, Artificial Neural Networks, Programming Principles, Classification And Regression Tree (CART), Regression Analysis, Data Manipulation, Tensorflow

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Art and Science of Machine Learning 日本語版

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Applied Machine Learning, Performance Tuning, Deep Learning, Machine Learning, Dimensionality Reduction, Google Cloud Platform

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - 日本語版

      Skills you'll gain: Machine Learning, Applied Machine Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Predictive Modeling, Test Data, Supervised Learning, Deep Learning, Business Logic, Image Analysis, Natural Language Processing, Application Programming Interface (API)

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Selecting the Right LLM with Hugging Face

      Skills you'll gain: Large Language Modeling, Programming Principles, ChatGPT, OpenAI, Applied Machine Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Français

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Machine Learning, Scalability, Application Programming Interface (API), Data Transformation

      3.4
      Rating, 3.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      A

      Arm

      Introduction to AI

      Skills you'll gain: Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Data Ethics, Natural Language Processing, Data Science

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Speech to Text Transcription with the Cloud Speech API

      Skills you'll gain: Cloud API, Google Cloud Platform, Natural Language Processing, Application Programming Interface (API), JSON

      Beginner · Project · Less Than 2 Hours

    NLP learners also search

    Beginner NLP
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    ChatGPT
    Advanced Python
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    1…424344…59

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

    • Foundations of Neural Networks: Johns Hopkins University
    • Deploy A Microsoft Azure Speech To Text Web App: Coursera Project Network
    • OpenAI: Consistent Response Strategies: Coursera Instructor Network
    • Embedding Models: From Architecture to Implementation: DeepLearning.AI
    • Fundamentos de Inteligência Artifical em Marketing: Fundação Instituto de Administração
    • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
    • Art and Science of Machine Learning 日本語版: Google Cloud
    • Applying Machine Learning to Your Data with GC - 日本語版: Google Cloud
    • Selecting the Right LLM with Hugging Face: Coursera Instructor Network
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud

    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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