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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


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    Board Infinity

    AI Image Generation in Python: Stable Diffusion & LoRA

    Skills you'll gain: Generative AI, Prompt Engineering, Generative Model Architectures, Multimodal Prompts, Prompt Engineering Tools, Model Deployment, AI Workflows, PyTorch (Machine Learning Library), AI Integrations, Image Analysis, Image Quality, Model Optimization, Model Training, Web Applications, Performance Tuning, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Learning for Time Series Cookbook

    Skills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Convolutional Neural Networks, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture

    Intermediate · Course · 1 - 3 Months

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    Duke University

    Introduction to Machine Learning

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

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    Meta

    Introduction to Back-End Development

    Skills you'll gain: Bootstrap (Front-End Framework), HTML and CSS, UI Components, User Interface (UI), Front-End Web Development, Responsive Web Design, JavaScript Frameworks, Web Design, Web Development, Web Applications, Hypertext Markup Language (HTML), Full-Stack Web Development, Cascading Style Sheets (CSS), General Networking, Back-End Web Development, React.js, Web Servers

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Model Optimization, Generative AI Agents, Model Deployment, Tensorflow, Google Cloud Platform, Model Training, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, MLOps (Machine Learning Operations), Generative AI, Model Evaluation, Cloud Infrastructure, Prompt Engineering Tools, Applied Machine Learning, Data Cleansing, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
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    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Edureka

    Transfer Learning and Fine-Tuning for AI Models

    Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
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    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Google Cloud Platform, Generative AI Agents, Model Deployment, Tensorflow, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, CI/CD, Generative AI, Model Evaluation, Cloud Infrastructure, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    IBM

    Generative AI for NLP with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    2.1K reviews

    Advanced · Specialization · 3 - 6 Months

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    John Wiley & Sons

    Machine Learning For Dummies

    Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Convolutional Neural Networks, Machine Learning Software, Python Programming, Data Preprocessing, Feature Engineering

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Data Transformation, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    710 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • AI Image Generation in Python: Stable Diffusion & LoRA: Board Infinity
  • Deep Learning for Time Series Cookbook: Packt
  • Introduction to Machine Learning: Duke University
  • Introduction to Back-End Development: Meta
  • Introduction to Neural Networks and PyTorch: IBM
  • Machine Learning on Google Cloud: Google Cloud
  • Transfer Learning and Fine-Tuning for AI Models: Edureka
  • Introduction to Computer Vision and Image Processing: IBM
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Generative AI for NLP with PyTorch: IBM

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