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  • Computational Linguistics

Computational Linguistics Courses

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.

Popular Computational Linguistics Courses and Certifications


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    Pragmatic AI Labs

    Large Language Models with Hugging Face

    Skills you'll gain: Prompt Engineering, Hugging Face, Agentic Workflows, Generative AI Agents

    Intermediate · Course · 1 - 4 Weeks

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    Birla Institute of Technology & Science, Pilani

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Embeddings, Text Mining, Data Preprocessing, LLM Application, Semantic Web, Artificial Neural Networks, ChatGPT, Artificial Intelligence, Generative AI, Data Processing, Deep Learning, Model Training, Model Evaluation, Dependency Analysis

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training

    Mixed · Course · 1 - 3 Months

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    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, OpenAI API, Multimodal Prompts, Responsible AI, AI Security, Autoencoders, Model Deployment, Fine-tuning, Application Deployment

    4.3
    Rating, 4.3 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
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    150 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Gen AI - RAG Application Development using LangChain

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Tool Calling, Generative AI Agents, Agentic Workflows, Document Management, Query Languages, Agentic systems

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Mastering NLP: Foundations, ML & LLMs

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LangChain, LLM Application, Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Embeddings, Deep Learning, Generative AI, Fine-tuning, Artificial Intelligence, Classification Algorithms, Machine Learning Methods, Data Preprocessing, Applied Machine Learning, Machine Learning, Model Optimization, Model Evaluation

    Intermediate · Course · 1 - 3 Months

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    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Model Optimization, Embeddings, Text Mining, Logistic Regression, Model Training, Statistical Modeling, Machine Learning Methods, Markov Model, Classification Algorithms, Data Preprocessing, Supervised Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Tokens to Deployment: NLP, Language Models, & Production API

    Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

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    Microsoft

    Working with large language models using Azure

    Skills you'll gain: Fine-tuning, ChatGPT, Generative Model Architectures, Cloud Deployment, AI Workflows, Application Performance Management, Semantic Web

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Generative Model Architectures, Machine Learning Methods, Model Training, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Building Production-Ready Apps with Large Language Models

    Skills you'll gain: Prompt Engineering, LLM Application, Model Deployment, Responsible AI, Application Deployment, Application Development, Large Language Modeling, Hugging Face, Data Ethics, Generative AI, AI Security, Application Security, Continuous Monitoring

    4
    Rating, 4 out of 5 stars
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    29 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Large Language Models with Hugging Face: Pragmatic AI Labs
  • Natural Language Processing: Birla Institute of Technology & Science, Pilani
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • Generative AI and Large Language Models: Coursera
  • Generative AI Language Modeling with Transformers: IBM
  • Gen AI - RAG Application Development using LangChain: Packt
  • Mastering NLP: Foundations, ML & LLMs: Packt
  • Fundamentals of Natural Language Processing: University of Colorado Boulder
  • Tokens to Deployment: NLP, Language Models, & Production API: Coursera
  • Working with large language models using Azure: Microsoft

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