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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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    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, Applied Machine Learning, Image Analysis, LLM Application, Model Optimization, Data Flow Diagrams (DFDs), Database Theory, Docker (Software), Prompt Engineering, Database Design, NumPy, AI Integrations, Databases, Scikit Learn (Machine Learning Library), Semantic Web, Simulations, Python Programming

    Intermediate · Specialization · 3 - 6 Months

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Español

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Pipelines, Google Cloud Platform, Data Preprocessing, Model Training, Deep Learning, Data Processing, Model Optimization, Cloud Deployment, Machine Learning Methods, Applied Machine Learning, Data Transformation, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Classify Images of Cats and Dogs using Transfer Learning

    Skills you'll gain: Tensorflow, Transfer Learning, Fine-tuning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Feature Engineering, Model Training, Machine Learning

    Beginner · Project · Less Than 2 Hours

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    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Model Training, Machine Learning Methods, Dimensionality Reduction, Data Preprocessing, Statistical Machine Learning, Python Programming, Model Optimization, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Supervised Learning, Machine Learning, Logistic Regression, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

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    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI: Fine-Tune & Maximize Accuracy

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Model Deployment, Model Optimization, Model Training, MLOps (Machine Learning Operations), Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    React and Typescript: Utility Types and Template Literals

    Skills you'll gain: TypeScript, Javascript, React.js, UI Components, Application Development, Web Development

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Vector DB Foundations, Embeddings & Search Algorithms: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
  • Optimizing Models for Production: Coursera
  • Classify Images of Cats and Dogs using Transfer Learning: Google Cloud
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Machine Learning Foundations: Packt
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Introduction to RNN and DNN: Packt
  • Optimize AI Inference Speed & Accuracy: Coursera
  • Optimize AI: Fine-Tune & Maximize Accuracy: Coursera

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