Computational linguistics courses can help you learn natural language processing, syntax analysis, and semantic understanding. You can build skills in text mining, language modeling, and machine translation techniques. Many courses introduce tools like Python libraries such as NLTK and spaCy, as well as frameworks for AI-driven applications, helping you apply these skills to analyze and generate human language effectively.

Google Cloud
Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI, Prompt Patterns, Generative Model Architectures
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra
Intermediate · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Public Speaking, Persuasive Communication, Presentations, Verbal Communication Skills, Microsoft PowerPoint, Communication, Storytelling, Motivational Skills, Constructive Feedback, Driving engagement, Performing Arts, Concision, Drive Engagement, Action Oriented, Communication Strategies, Target Audience, Writing, Non-Verbal Communication, Composure, Leadership
Beginner · Specialization · 3 - 6 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Computer Programming, Algorithms, Computer Science, Formal Learning, Software Engineering, Program Development, Text Mining, Data Science, Analysis, Machine Learning Methods, Debugging, Technical Analysis
Intermediate · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Trend Analysis, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Machine Learning, Data Collection, Agentic systems
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Scripting, Python Programming, Computer Programming, Computational Thinking, Data Structures, Integrated Development Environments, Debugging, Development Environment
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Computational Thinking, Test Driven Development (TDD), File Management
Beginner · Professional Certificate · 3 - 6 Months

Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
Beginner · Specialization · 3 - 6 Months

University of Colorado System
Skills you'll gain: Natural Language Processing, Text Mining, Clinical Informatics, Clinical Documentation, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing
Intermediate · Course · 1 - 3 Months

Shanghai Jiao Tong University
Skills you'll gain: Oral Comprehension, Language Learning, Cultural Sensitivity, Cultural Diversity, Culture, Vocabulary, Language Competency, Grammar
Beginner · Specialization · 3 - 6 Months

Rice University
Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Theoretical Computer Science, Computer Science
Beginner · Specialization · 3 - 6 Months
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.‎