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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


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced Data Analysis with Generative AI

    Skills you'll gain: Applied Machine Learning, Anomaly Detection, Generative AI, Time Series Analysis and Forecasting, Model Evaluation, Text Mining, Predictive Modeling, Generative Adversarial Networks (GANs), Generative Model Architectures, Forecasting, Advanced Analytics, Machine Learning Methods, Statistical Machine Learning, Model Training, Large Language Modeling, Natural Language Processing, Predictive Analytics, Unstructured Data, Data Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Artificial Intelligence: An Overview

    Skills you'll gain: Artificial Intelligence, AI literacy, Artificial Neural Networks, Computer Vision, Machine Learning, Natural Language Processing, Deep Learning, Robotics, Computer Hardware

    4.5
    Rating, 4.5 out of 5 stars
    ·
    205 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Model Optimization, Model Training, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Innovations in Investment Technology: Artificial Intelligence

    Skills you'll gain: Investment Management, Wealth Management, Asset Management, Investments, FinTech, Financial Trading, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Artificial Neural Networks, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    424 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Systems Development, Solution Architecture, Machine Learning Methods, Model Training, Model Evaluation, Agentic systems, Artificial Neural Networks, Machine Learning, Model Optimization, Machine Learning Algorithms, Markov Model, Feature Engineering, Algorithms, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    653 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    302 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Generative AI for Developers

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, AI Workflows, AI literacy, Artificial Intelligence, Object Oriented Programming (OOP), Risking, Machine Learning Methods, Artificial Neural Networks, Maintainability, Computer Programming, AI powered creativity, Debugging, Problem Solving, Critical Thinking, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    246 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    Procesamiento de Lenguaje Natural

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Machine Learning Algorithms, Data Cleansing, Artificial Neural Networks, Machine Learning Methods, Data Manipulation, Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, AI Orchestration, Systems Architecture, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    57 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Generative AI for Data Scientists

    Skills you'll gain: Generative AI, Microsoft Copilot, Generative Model Architectures, Generative Adversarial Networks (GANs), Natural Language Processing, Data Quality, Anomaly Detection, AI literacy, Data Storytelling, Technical Communication, Responsible AI, Data Visualization, Data Ethics, Data-Driven Decision-Making, Data Presentation, Data Pipelines, Prompt Engineering, Data Cleansing, Data Science, Critical Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    72 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    150 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Machine Learning, Machine Learning Algorithms, AI literacy, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Law, Regulation, and Compliance, Classification Algorithms, Regulation and Legal Compliance

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    549 reviews

    Advanced · Course · 1 - 3 Months

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

  • Advanced Data Analysis with Generative AI: Microsoft
  • Artificial Intelligence: An Overview: Politecnico di Milano
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Innovations in Investment Technology: Artificial Intelligence: University of Michigan
  • A Complete Reinforcement Learning System (Capstone): University of Alberta
  • Deep Learning and Reinforcement Learning: IBM
  • Generative AI for Developers: Fractal Analytics
  • Procesamiento de Lenguaje Natural: Universidad Austral
  • Generative AI for Data Scientists: Microsoft
  • An Introduction to Practical Deep Learning: Intel

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Google Cloud Platform (18)
Application Programming Interfaces (17)
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Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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