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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


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Feature Engineering, Tensorflow, Model Optimization, Google Cloud Platform, Model Deployment, Data Preprocessing, Keras (Neural Network Library), Data Strategy, Business Metrics, Cloud Deployment, Model Training, Embeddings, Machine Learning, Machine Learning Methods, Analytics, Applied Machine Learning, AI Product Strategy, Responsible AI, Dataflow, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Model Training, Generative AI, Data Preprocessing, Model Optimization, Fine-tuning, PyTorch (Machine Learning Library), Machine Learning, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Titanic Survival Prediction Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Model Training, Predictive Modeling, Statistical Machine Learning, Applied Machine Learning, Data Processing, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Machine Learning Methods, Model Evaluation, Classification Algorithms, Data Science, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Model Deployment, Google Cloud Platform, Model Training, Keras (Neural Network Library), Exploratory Data Analysis, Business Metrics, Data Preprocessing, Data Pipelines, Data Quality, Model Evaluation, Logistic Regression, Applied Machine Learning, Data Cleansing, Machine Learning Methods, Machine Learning, Machine Learning Software, Performance Tuning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    31 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust for Large Language Model Operations (LLMOps)

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Generative AI, Rust (Programming Language), Model Deployment, Cloud Deployment, PyTorch (Machine Learning Library), Applied Machine Learning, Model Training, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing

    Intermediate · Specialization · 1 - 4 Weeks

  • C

    Coursera

    Typescript in React: Higher Order Components

    Skills you'll gain: TypeScript, Code Reusability, React.js, Javascript, Software Design Patterns

    Advanced · Guided Project · Less Than 2 Hours

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    B

    Board Infinity

    Ajax Basics

    Skills you'll gain: Ajax, jQuery, JSON, Javascript and jQuery, Extensible Markup Language (XML), Web Applications, Javascript, Event-Driven Programming, Network Protocols

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines

    Advanced · Specialization · 1 - 3 Months

1…464748…78

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

  • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Titanic Survival Prediction Using Machine Learning: Coursera
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Advanced PyTorch Techniques and Applications: Packt
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Rust for Large Language Model Operations (LLMOps): Duke University
  • Introduction to Transformer Models for NLP: Pearson
  • Typescript in React: Higher Order Components: Coursera
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera

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