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Library Courses

Library courses can help you learn cataloging, reference services, information literacy, and digital resource management. You can build skills in research techniques, data organization, and community outreach. Many courses introduce tools like integrated library systems and online databases, that support managing collections and providing access to information.

Popular Library Courses and Certifications


  • U

    Universidad Austral

    Full Stack Web Development en Español

    Skills you'll gain: Angular, Server Side, Node.JS, Responsive Web Design, LESS, Bootstrap (Front-End Framework), Mobile Development, Back-End Web Development, Version Control, Cross Platform Development, Restful API, HTML and CSS, jQuery, Web Design and Development, React Redux, JavaScript Frameworks, Continuous Integration, TypeScript, iOS Development, MongoDB

    4.2
    Rating, 4.2 out of 5 stars
    ·
    827 reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    Meta

    Introduction to Mobile Development

    Skills you'll gain: Mobile Development, React Native, Responsive Web Design, Browser Compatibility, HTML and CSS, Cross Platform Development, Hypertext Markup Language (HTML), Web Design, Javascript, Application Development, Application Frameworks, JavaScript Frameworks, Cascading Style Sheets (CSS), Web Development, React.js, UI Components

    4.7
    Rating, 4.7 out of 5 stars
    ·
    601 reviews

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    .NET FullStack Developer

    Skills you'll gain: HTML and CSS, React.js, ASP.NET, Restful API, .NET Framework, Web Applications, Web Services, Hypertext Markup Language (HTML), Front-End Web Development, JSON, Application Development, JavaScript Frameworks, Model View Controller, Web Design and Development, Application Frameworks, UI Components, Development Environment, Web Development, Microsoft Visual Studio, Cascading Style Sheets (CSS)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    353 reviews

    Intermediate · Specialization · 1 - 3 Months

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Performance Metric

    3.9
    Rating, 3.9 out of 5 stars
    ·
    379 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Scrimba

    Become a Professional React Developer

    Skills you'll gain: React.js, Routing Protocols, UI Components, Code Reusability, JavaScript Frameworks, Front-End Web Development, Frontend Performance, Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), Event-Driven Programming, User Experience Design, User Interface (UI), Frontend Integration, Debugging, Web Development Tools, Web Frameworks, Data Management, Context Management, Javascript, Application Programming Interface (API)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    263 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Natural Language Processing on Google Cloud

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, Cloud API, Feature Engineering, Model Training

    4.4
    Rating, 4.4 out of 5 stars
    ·
    540 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Fine-tuning, Large Language Modeling, Generative Model Architectures, Model Optimization, Prompt Engineering, Model Training, PyTorch (Machine Learning Library)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    198 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    299 reviews

    Intermediate · Course · 1 - 3 Months

1…323334…77

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

  • Full Stack Web Development en Español: Universidad Austral
  • Introduction to Mobile Development: Meta
  • .NET FullStack Developer: Board Infinity
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Fundamentals of Machine Learning in Finance: New York University
  • Guided Tour of Machine Learning in Finance: New York University
  • Become a Professional React Developer: Scrimba
  • Natural Language Processing on Google Cloud: Google Cloud
  • Generative AI Engineering and Fine-Tuning Transformers: IBM

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