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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


  • 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 stars, 212 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.6 (212) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • M

    Microsoft

    Building Intelligent Troubleshooting Agents

    Skills you'll gain: Fine-tuning, Large Language Modeling, Natural Language Processing, LLM Application, Generative AI Agents, Agentic Workflows, Decision Intelligence, Test Case, Agentic systems, User Interface (UI), Performance Testing, Model Training, Applied Machine Learning, Artificial Intelligence, Model Optimization, Machine Learning Algorithms, Classification Algorithms, Decision Support Systems, Model Evaluation

    4.4 stars, 21 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.4 (21) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • 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 stars, 26 reviews, Intermediate, Course, 1 - 3 Months

    ★ 3.4 (26) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • B

    Ball State University

    Introduction to Programming

    Skills you'll gain: Program Development, Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Analytics, Python Programming, Natural Language Processing, Text Mining, NumPy, Data Processing, Code Reusability, Mathematical Software, Computational Logic

    4.7 stars, 31 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.7 (31) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • 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 stars, 386 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (386) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • U

    University of Michigan

    Generative AI Essentials: Overview and Impact

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Large Language Modeling, Prompt Engineering, Responsible AI, Data Ethics, Artificial Intelligence, Business Economics, Culture, Law, Regulation, and Compliance, AI Integrations, Social Studies, Intellectual Property

    4.7 stars, 357 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (357) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    Saïd Business School, University of Oxford

    AI Fundamentals in Financial Services

    Skills you'll gain: Machine Learning Methods, Financial Services, Artificial Intelligence, Responsible AI, FinTech, Financial Data, Banking Services, Decision Intelligence, Financial Regulation, Banking, Fraud detection, Machine Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Case Studies, Algorithms, Data Management

    4.7 stars, 92 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (92) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    Stanford Online

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Statistical Modeling, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6 stars, 305 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.6 (305) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • S

    Stanford Online

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms

    4.6 stars, 491 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.6 (491) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5 stars, 174 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.5 (174) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • I

    IBM

    Vector Database Projects: AI Recommendation Systems

    Skills you'll gain: Vector Databases, Hugging Face, AI Personalization, Artificial Intelligence, Embeddings, Natural Language Processing, Feature Engineering, MongoDB

    4.1 stars, 16 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.1 (16) · Intermediate · Course · 1 - 4 Weeks

    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

    4.2 stars, 35 reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.2 (35) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular nlp courses

  • Fine Tune BERT for Text Classification with TensorFlow: Coursera
  • Building Intelligent Troubleshooting Agents: Microsoft
  • Microsoft Azure AI Engineer Associate: Designing and Implementing AI Solutions: Whizlabs
  • Introduction to Programming: Ball State University
  • IBM AI Enterprise Workflow: IBM
  • Generative AI Essentials: Overview and Impact: University of Michigan
  • AI Fundamentals in Financial Services: Saïd Business School, University of Oxford
  • Probabilistic Graphical Models 3: Learning: Stanford Online
  • Probabilistic Graphical Models 2: Inference: Stanford Online
  • Tweet Emotion Recognition with TensorFlow: Coursera

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