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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


  • E

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)

    ★ 5 (8) · Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Fine-tuning, Containerization, Model Optimization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Agentic Workflows, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Image Analysis, Large Language Modeling, Natural Language Processing, Python Programming

    Advanced · Specialization · 1 - 3 Months

  • P

    Packt

    React Bootcamp with .NET API (Router, Redux Toolkit, Hooks)

    Skills you'll gain: React.js, Bootstrap (Front-End Framework), Web Applications, Frontend Integration, JavaScript Frameworks, UI Components, Full-Stack Web Development, Authentications, Front-End Web Development, ASP.NET, HTML and CSS, Cascading Style Sheets (CSS), Application Programming Interface (API), Authorization (Computing), Secure Coding, Web Design and Development, User Interface (UI), Javascript, Web Development Tools, Microsoft Azure

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Model Optimization, Predictive Analytics, Data Preprocessing, Statistical Modeling, Model Evaluation, Machine Learning Methods, Data Processing, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • A

    Amazon Web Services

    AWS Generative AI Lab Series

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, Generative AI, LLM Application, Multimodal Prompts, Large Language Modeling, Applied Machine Learning, Model Training, Scikit Learn (Machine Learning Library), Image Analysis, Business Writing

    Beginner · Course · 1 - 3 Months

  • P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    ★ 4 (6) · Beginner · Specialization · 1 - 4 Weeks

  • P

    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Fine-tuning, Model Training, Machine Learning Methods, Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, AI Orchestration, Application Deployment, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Visualization, Plot (Graphics), Python Programming, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Data Manipulation

    ★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Complete Git Guide: Understand and Master Git and GitHub

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Open Source Technology, Unix Shell, Collaborative Software, Software Installation, Unix Commands, Microsoft Visual Studio, Software Versioning, Linux Commands, Linux, Mac OS, Web Development Tools, Shell Script, File Management, Command-Line Interface, Code Review, Application Deployment, React.js

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Large Language Modeling, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture

    Beginner · Specialization · 1 - 3 Months

  • P

    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

  • C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

1…575859…78

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

  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • AI Engineer Professional: Packt
  • React Bootcamp with .NET API (Router, Redux Toolkit, Hooks): Packt
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • AWS Generative AI Lab Series: Amazon Web Services
  • Data Science Fundamentals, Part 1: Pearson
  • AI Engineer Associate: Packt
  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Complete Git Guide: Understand and Master Git and GitHub: Packt
  • Deep Learning: Recurrent Neural Networks with Python: Packt

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