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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


  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Practical Python for AI Coding 2

    Skills you'll gain: Matplotlib, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Data Manipulation

    ★ 4.6 (26) · Beginner · Course · 1 - 3 Months

  • P

    Pearson

    Full-Stack React with Spring Boot: Unit 4

    Skills you'll gain: Frontend Integration, React.js, Full-Stack Web Development, JavaScript Frameworks, Restful API, Front-End Web Development, Back-End Web Development, Spring Boot, Web Applications, User Interface (UI), User Interface (UI) Design, Data Persistence

    ★ 4.7 (15) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    ★ 4.4 (92) · Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Model Optimization, Tensorflow, Deep Learning, Performance Tuning, Model Deployment, Python Programming

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

  • A

    AI CERTs

    AI for Telecommunications

    Skills you'll gain: Responsible AI, Data Ethics, PyTorch (Machine Learning Library), Model Training, Telecommunications, Tensorflow, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Emerging Technologies, Generative AI, Wireless Networks, Network Performance Management, Digital Communications, Generative AI Agents, Network Architecture, Network Protocols, Computer Networking, System Design and Implementation, Communication

    ★ 4.4 (14) · Advanced · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Hugging Face, Model Optimization, Fine-tuning, Transfer Learning, Model Training, Embeddings, Data Preprocessing

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

  • D

    Dartmouth College

    Data Analytics for Digital Transformation

    Skills you'll gain: Digital Transformation, Predictive Modeling, Customer experience strategy (CX), Analytics, Predictive Analytics, Simulations, Simulation and Simulation Software, Advanced Analytics, Business Transformation, Scikit Learn (Machine Learning Library), Model Evaluation, Data-Driven Decision-Making, Operations Research, Internet Of Things, Model Training, Ethical Standards And Conduct, Cloud Computing, Data Ethics, Business Analytics, Process Optimization

    ★ 4.9 (32) · Intermediate · Specialization · 3 - 6 Months

  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    ★ 4.4 (13) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    ★ 4.7 (27) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning

    ★ 4.2 (57) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    ★ 4.7 (49) · Advanced · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

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

    ★ 4.2 (31) · Intermediate · Specialization · 3 - 6 Months

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

  • Practical Python for AI Coding 2: Korea Advanced Institute of Science and Technology(KAIST)
  • Full-Stack React with Spring Boot: Unit 4: Pearson
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • AI for Telecommunications: AI CERTs
  • PyTorch: Techniques and Ecosystem Tools: DeepLearning.AI
  • Data Analytics for Digital Transformation: Dartmouth College
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Breast Cancer Prediction Using Machine Learning: Coursera

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