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NLP Courses

NLP courses can help you learn text processing, sentiment analysis, language modeling, and chatbot development. You can build skills in data preprocessing, feature extraction, and evaluating model performance. Many courses introduce tools like Python libraries such as NLTK and spaCy, as well as frameworks like TensorFlow and PyTorch, that support implementing NLP techniques and developing applications that utilize artificial intelligence.


Popular NLP Courses and Certifications


  • C

    Coursera

    Fine-tuning Text Models with PEFT

    Skills you'll gain: Generative AI, Model Evaluation, Large Language Modeling, Transfer Learning, Performance Tuning, Development Environment, Natural Language Processing, Jupyter

    Intermediate · Course · 1 - 4 Weeks

  • S

    SkillsBooster Academy

    Grok Comprehensive Guide: From Basics to Advanced Features

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Responsible AI, Productivity, AI Workflows, Generative AI, Artificial Intelligence, AI Security, AI Personalization, Creative Problem-Solving, Artificial Intelligence and Machine Learning (AI/ML), Innovation, Critical Thinking and Problem Solving, Complex Problem Solving, Automation, Critical Thinking, digital literacy, Digital Assets, Information Technology, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Master ANN Search

    Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, Artificial Neural Networks, LLM Application, Large Language Modeling, Data Ethics, Responsible AI, Applied Machine Learning, Model Evaluation, Performance Tuning, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Build and Deploy Chatbots Using Dialogflow

    Skills you'll gain: Context Management, Artificial Intelligence, Performance Testing, Natural Language Processing, Integration Testing, Web Services, Business Logic, Data Validation, System Configuration

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnKartS

    Become AI-Ready: Deep Learning Fundamentals

    Skills you'll gain: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    Generative AI for AWS Cloud Engineers

    Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, Responsible AI, Generative AI, AI Security, Amazon Web Services, AI Enablement, Cloud Engineering, Large Language Modeling, Model Deployment, Prompt Engineering, Data Ethics, AWS Identity and Access Management (IAM), Model Evaluation, Cloud Security, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Artificial Intelligence for Robotics

    Skills you'll gain: Robotics, Artificial Intelligence, Image Analysis, Computer Vision, Convolutional Neural Networks, Natural Language Processing, Systems Engineering, Artificial Neural Networks, Reinforcement Learning, Machine Learning, Python Programming, Automation, Algorithms

    Intermediate · Course · 1 - 3 Months

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

  • Fine-tuning Text Models with PEFT: Coursera
  • Grok Comprehensive Guide: From Basics to Advanced Features: SkillsBooster Academy
  • Master ANN Search: Coursera
  • Build and Deploy Chatbots Using Dialogflow: EDUCBA
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Become AI-Ready: Deep Learning Fundamentals: LearnKartS
  • Computational Neuroscience: University of Washington
  • Generative AI for AWS Cloud Engineers: Whizlabs
  • Introduction to Machine Learning: Duke University
  • Applied Machine Learning in Python: University of Michigan

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