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    • Computational Linguistics

    Computational Linguistics Courses Online

    Explore computational linguistics for natural language processing. Learn to develop algorithms for language analysis and machine translation.

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    Explore the Computational Linguistics Course Catalog

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Open Source LLMOps Solutions

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Open Source Technology, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Application Deployment, Application Programming Interface (API), Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • B

      Birla Institute of Technology & Science, Pilani

      Introduction to Programming

      Skills you'll gain: Programming Principles, C (Programming Language), Computer Hardware, Computer Programming, Computer Architecture, Computational Thinking, Data Structures, Algorithms, File Management, Operating Systems, Program Development, Debugging

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Comparing Genes, Proteins, and Genomes (Bioinformatics III)

      Skills you'll gain: Bioinformatics, Molecular Biology, Algorithms, Computational Thinking, Computer Programming Tools, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Approximation Algorithms Part I

      Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Linear Algebra, Mathematical Modeling, Solution Design, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust for Large Language Model Operations (LLMOps)

      Skills you'll gain: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Application Deployment, System Monitoring, Cloud Development, Natural Language Processing, DevOps, Amazon Web Services, Deep Learning, Cloud Security

      4.1
      Rating, 4.1 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Computational Methods in Pricing and Model Calibration

      Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Computational Logic, Application Specific Integrated Circuits, Computer-Aided Design, Electronic Hardware, Electrical Engineering, Electronic Systems, Electronics, Semiconductors, Electronic Components, Computer Architecture, Programming Principles, Engineering Design Process, Embedded Systems, Schematic Diagrams, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      66 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM COBOL Basics

      Skills you'll gain: COBOL (Programming Language), Editing, Mainframe Computing, Business Logic, Programming Principles, Data Structures, Computational Logic, Data Storage, Debugging, Procedure Development, Program Implementation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The University of Melbourne

      Basic Modeling for Discrete Optimization

      Skills you'll gain: Mathematical Modeling, Graph Theory, Decision Support Systems, Computational Thinking, Network Model, Data Modeling, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      451 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Leeds

      An Introduction to Programming using Python

      Skills you'll gain: Programming Principles, Computational Logic, Python Programming, Computer Programming, Automation, Web Development, Algorithms, Computational Thinking, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computer Simulations

      Skills you'll gain: Simulations, Social Sciences, Systems Thinking, Agentic systems, Network Analysis, Computational Thinking, Sociology, Economics, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Algorithms, Data Collection, and Starting to Code

      Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Development Environment, Computer Programming, Data Structures, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      376 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…202122…42

    In summary, here are 10 of our most popular computational linguistics courses

    • Open Source LLMOps Solutions: Duke University
    • Introduction to Programming: Birla Institute of Technology & Science, Pilani
    • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
    • Approximation Algorithms Part I: École normale supérieure
    • Rust for Large Language Model Operations (LLMOps): Duke University
    • Computational Methods in Pricing and Model Calibration: Columbia University
    • Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA: Pontificia Universidad Católica de Chile
    • IBM COBOL Basics: IBM
    • Basic Modeling for Discrete Optimization: The University of Melbourne
    • An Introduction to Programming using Python: University of Leeds

    Skills you can learn in Mobile And Web Development

    Web (13)
    Mobile App (9)
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    Mobile Application Development (8)
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    Android Software Development (7)
    CSS (6)
    Programming Language (6)
    Web Application (6)
    Android Studio (5)
    Angularjs (5)
    Computer Program (5)

    Frequently Asked Questions about Computational Linguistics

    Computational linguistics is the study of computer modeling of human language. This scientific field develops computational models for linguistic patterns and structures. In today's world, applications of computational linguistics fall into two categories: using computers to explain linguistic phenomena and developing systems for computers to process language. Computational linguists work to make computers understand both written and spoken language, and they produce technologies that allow humans and computers to communicate with each other linguistically using speech or language systems like artificial intelligence, text-to-speech translators, and automated voice responses.‎

    Computational linguistics is a worthwhile field of study because we use computers increasingly in our modern world, and computers that understand and use human language can help us make the best use of technology. Because language is such a versatile means of communication, computers that can communicate using written or spoken language can become more effective. If you're interested in helping make interactions with machines easier, you'll enjoy the challenges of computational linguistics, and as technology continues to advance, you can develop newer and more sophisticated ways for computers to communicate.‎

    When you're interested in a career in computational linguistics, you'll find plenty of opportunities for work as a computational linguist or engineer. You can find jobs helping program the next generation of artificial intelligence, or you can work as a language engineer or machine learning engineer. Your computational linguistics skills can come in handy developing apps that aid in research, web searches, or translation. You might even be able to program video games that make better use of human speech or help someone who can't speak learn to communicate.‎

    Online courses on Coursera offer you opportunities to learn computational linguistics concepts and skills that are relevant to the real world, such as the philosophies behind language learning and how to program a computer to understand more than one human language or dialect. You might also learn about TensorFlow for NLP to discover the semantic similarities in texts, natural language processing with vector spaces, and sequence models in AI.‎

    Online Computational Linguistics courses offer a convenient and flexible way to enhance your knowledge or learn new Computational Linguistics skills. Choose from a wide range of Computational Linguistics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computational Linguistics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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