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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


  • 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

  • C

    Coursera

    Medical Insurance Premium Prediction with Machine Learning

    Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Statistical Visualization, Predictive Modeling, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Data Processing, Data Science, Predictive Analytics, Data Manipulation, Deep Learning, Data Wrangling, Machine Learning, Model Evaluation, Regression Analysis, Python Programming

    ★ 4.7 (27) · Beginner · Guided Project · Less Than 2 Hours

  • S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra

    ★ 4.4 (93) · Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming

    ★ 4.6 (67) · Beginner · Guided Project · Less Than 2 Hours

  • 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

  • I

    IBM

    Front-End Development Capstone Project

    Skills you'll gain: GitHub, Responsive Web Design, React.js, Front-End Web Development, Git (Version Control System), HTML and CSS, Version Control, Hypertext Markup Language (HTML), Web Development, Frontend Integration, Web Design, Web Components, UI Components, Code Review, Web Applications, Cascading Style Sheets (CSS), Web Analytics and SEO, Figma (Design Software), Mockups, Software Development

    ★ 4.6 (58) · Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training

    ★ 4.6 (233) · Intermediate · Guided Project · Less Than 2 Hours

  • S

    Simplilearn

    LLM Application Engineering and Development Certification

    Skills you'll gain: LangChain, LLM Application, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Embeddings, Generative AI, Tool Calling, Fine-tuning, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools

    ★ 3.2 (19) · Beginner · Specialization · 1 - 3 Months

  • S

    SkillUp

    React Native: Developing Android and iOS Apps

    Skills you'll gain: React Native, Mobile Development, iOS Development, Apple iOS, Android Development, Mobile Development Tools, UI Components, Cross Platform Development, React Redux, Application Development, React.js, Application Frameworks, Development Environment, Debugging, Context Management, Software Development, Data Persistence, Command-Line Interface, Data Validation

    ★ 4.9 (22) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: Model Evaluation, ChatGPT, Generative AI, Fine-tuning, Keras (Neural Network Library), Large Language Modeling, Model Training, Model Optimization, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks

    ★ 4.4 (35) · Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Ultimate Guide to FastAPI and Backend Development

    Skills you'll gain: Frontend Integration, API Testing, React.js, Authentications, Containerization, OAuth, Cloud Deployment, Back-End Web Development, PostgreSQL, API Gateway, Software Documentation, Amazon Web Services, Event-Driven Programming, Database Development, Front-End Web Development, Python Programming, Database Management, Restful API, Object-Relational Mapping, SQL

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

  • U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Model Optimization, Scikit Learn (Machine Learning Library), Model Training, Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Unstructured Data, Feature Engineering, Jupyter, Regression Analysis, Data Preprocessing, Python Programming

    ★ 4.6 (45) · Intermediate · Course · 1 - 3 Months

1…373839…77

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

  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Medical Insurance Premium Prediction with Machine Learning: Coursera
  • Machine Learning Basics: Sungkyunkwan University
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Front-End Development Capstone Project: IBM
  • Classification Trees in Python, From Start To Finish: Coursera
  • LLM Application Engineering and Development Certification: Simplilearn
  • React Native: Developing Android and iOS Apps: SkillUp
  • Machine Learning with ChatGPT: Image Classification Model: Coursera

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