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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

      L’IA pour tous

      Skills you'll gain: Business Strategy, Artificial Intelligence, Data Ethics, Technology Strategies, Artificial Neural Networks, Business Intelligence, Data Science, Cross-Functional Collaboration, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Preparing for AI-900: Microsoft Azure AI Fundamentals exam

      Skills you'll gain: Natural Language Processing, Microsoft Azure, Large Language Modeling, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI Advance Fine-Tuning for LLMs

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Performance Tuning, Reinforcement Learning, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      71 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Snowflake

      Introduction to Generative AI with Snowflake

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks

      4.1
      Rating, 4.1 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Michigan

      AI for Mechanical Engineers

      Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Energy and Utilities, Image Analysis, Computer-Aided Design, Design Thinking, Technical Design, Computer Vision, Deep Learning, Medical Imaging, Statistical Machine Learning, Reinforcement Learning, Electric Power Systems, Bioinformatics, Artificial Neural Networks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      37 reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      Duke University

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Databases, Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      39 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      PyTorch Ultimate 2024 - From Basics to Cutting-Edge

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Generative AI, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Text Mining, Python Programming, Supervised Learning, Regression Analysis, Google Cloud Platform, Data Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Predictive Analytics, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Generative AI Engineering and Fine-Tuning Transformers

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Applied Machine Learning, Application Frameworks, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Enhance your Writing with Noun Clauses

      Skills you'll gain: Grammar, English Language

      4.9
      Rating, 4.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence

      Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Cloud API, Data Quality, Machine Learning, Applied Machine Learning, Cloud Computing, Business Solutions, Natural Language Processing, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      79 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • L’IA pour tous: DeepLearning.AI
    • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
    • Generative AI Advance Fine-Tuning for LLMs : IBM
    • Introduction to Generative AI with Snowflake: Snowflake
    • Transformer Models and BERT Model: Google Cloud
    • AI for Mechanical Engineers: University of Michigan
    • Introduction to Retrieval Augmented Generation (RAG): Duke University
    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • Explainable AI (XAI): Duke University
    • Generative AI Engineering and Fine-Tuning Transformers: IBM

    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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