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  • Nlp

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


  • G

    Google Cloud

    Entity and Sentiment Analysis with the Natural Language API

    Skills you'll gain: Natural Language Processing, Text Mining, Google Cloud Platform, Cloud API, Unstructured Data, Network Analysis, Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Using the Natural Language API from Google Docs

    Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Cloud Applications, Scripting, Cloud Development, Cloud API, Document Management, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 2

    Skills you'll gain: Fine-tuning, Collaborative Software, Large Language Modeling, Model Optimization, LLM Application, Data Management, Data Preprocessing, Data Validation, Data Cleansing, Natural Language Processing, Verification And Validation, Data Quality, AI Workflows

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Cloud Natural Language API: Qwik Start

    Skills you'll gain: Google Cloud Platform, Text Mining, Natural Language Processing, Cloud Platforms, Cloud API, Dependency Analysis, Unstructured Data, Analysis

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Training

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Prompt Engineering Tools, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Generative Model Architectures, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, LLM Application, Recurrent Neural Networks (RNNs)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Boost Your Cybersecurity Career

    Skills you'll gain: Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, Generative AI, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Prompt Engineering, Exploitation techniques, Anomaly Detection, Large Language Modeling, Vulnerability Management, Incident Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    155 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    374 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Fine Tune BERT for Text Classification with TensorFlow

    Skills you'll gain: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    212 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    W

    Whizlabs

    Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions

    Skills you'll gain: Responsible AI, Microsoft Azure, Data Ethics, Natural Language Processing, Image Analysis, Generative AI, Artificial Intelligence, Cloud Solutions, Large Language Modeling, AI Security, Computer Vision, OpenAI, OpenAI API, LLM Application, AI Integrations, Model Deployment, Key Management, Python Programming, Model Evaluation

    3.4
    Rating, 3.4 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate your Software Development Career

    Skills you'll gain: Data Ethics, Generative AI Agents, Generative AI, Software Design Documents, Software Design, AI Integrations, Software Architecture, Agentic Workflows, Continuous Integration, Software Development, Prompt Patterns, LLM Application, Application Security, Software Engineering, Code Review, Debugging, DevSecOps

    4.5
    Rating, 4.5 out of 5 stars
    ·
    259 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing for AI-900: Microsoft Azure AI Fundamentals exam

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, AI literacy, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    229 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Entity and Sentiment Analysis with the Natural Language API: Google Cloud
  • Using the Natural Language API from Google Docs: Google Cloud
  • H2O ai Large Language Models (LLMs) - Level 2: H2O.ai
  • Cloud Natural Language API: Qwik Start: Google Cloud
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Generative AI: Boost Your Cybersecurity Career: IBM
  • IBM AI Enterprise Workflow: IBM
  • Fine Tune BERT for Text Classification with TensorFlow: Coursera
  • Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions: Whizlabs

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