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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

    • I

      IBM

      Deep Learning with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Supervised Learning, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence

      Skills you'll gain: Google Cloud Platform, Tensorflow, 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
      ·
      85 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      55 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Artificial Intelligence Ethics in Action

      Skills you'll gain: Data Ethics, OpenAI, Artificial Intelligence, Large Language Modeling, Ethical Standards And Conduct, Analytical Skills, Analysis, Machine Learning, Game Theory, Generative AI, Predictive Modeling, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      281 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Generative AI: Fundamentals, Applications, and Challenges

      Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Operational Risk, Strategic Thinking, AI Personalization, Automation, Legal Risk, Business, Governance, Social Studies, Data Security, Natural Language Processing, Data Quality

      4.7
      Rating, 4.7 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      40 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • 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, Exploratory Data Analysis, Natural Language Processing, Image Analysis, Machine Learning Methods, Scatter Plots, Deep Learning, Visualization (Computer Graphics), Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      LLMOps

      Skills you'll gain: Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Generative AI, Data Pipelines, Software Versioning, Data Processing, Data Transformation, Application Deployment, Supervised Learning, Safety and Security

      4.2
      Rating, 4.2 out of 5 stars
      ·
      20 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: AI skills
      AI skills
      U

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms, Computer Vision, Theoretical Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Advanced Deployment Scenarios with TensorFlow

      Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Information Privacy, Web Servers, Artificial Neural Networks, Data Security, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      510 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Português)

      Skills you'll gain: Business Strategies, Business Strategy, Artificial Intelligence, Data Ethics, Team Building, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning, Data Modeling, Business Transformation, Business Operations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Peking University

      计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation

      Skills you'll gain: Language Interpretation, Translation, and Studies, Quality Assurance, Natural Language Processing, Language Competency, Document Management, Information Technology, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 3 - 6 Months

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

    • Deep Learning with PyTorch: IBM
    • Innovating with Google Cloud Artificial Intelligence: Google Cloud
    • Generative AI Engineering and Fine-Tuning Transformers: IBM
    • Artificial Intelligence Ethics in Action: LearnQuest
    • Generative AI: Fundamentals, Applications, and Challenges: University of Michigan
    • Introduction to Retrieval Augmented Generation (RAG): Duke University
    • Explainable AI (XAI): Duke University
    • LLMOps: DeepLearning.AI
    • AI and Machine Learning Essentials with Python: University of Pennsylvania
    • Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI

    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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