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  • E Learning

E-Learning Courses

E-learning courses can help you learn instructional design, online assessment strategies, multimedia content creation, and learner engagement techniques. You can build skills in creating interactive learning experiences, utilizing analytics to improve course effectiveness, and fostering community in virtual classrooms. Many courses introduce tools like Learning Management Systems (LMS), authoring software, and video editing applications, that support developing and delivering engaging online education.


Popular E-Learning Courses and Certifications


  • I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    ★ 4.6 (3.6K) · Intermediate · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms

    ★ 4.9 (39K) · Beginner · Specialization · 1 - 3 Months

    Category: Top AI Program
    Top AI Program
  • M

    MathWorks

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems

    ★ 4.6 (7) · Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    ★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

  • U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms

    ★ 4.8 (2.9K) · Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    ★ 4.9 (8.7K) · Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    ★ 4.4 (296) · Beginner · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Statistical Machine Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Generative Model Architectures, Machine Learning Algorithms, Classification Algorithms, Model Optimization, Regression Analysis, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Model Optimization, Predictive Analytics, Classification Algorithms

    ★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

  • U

    University of London

    Machine Learning for All

    Skills you'll gain: Model Training, Applied Machine Learning, Feature Engineering, Machine Learning Software, Machine Learning, Machine Learning Methods, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, AI literacy, Test Data, Data Collection, Classification Algorithms

    ★ 4.7 (3.5K) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    ★ 4.6 (8.8K) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting

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

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In summary, here are 10 of our most popular e-learning courses

  • IBM Machine Learning: IBM
  • Machine Learning: DeepLearning.AI
  • Reinforcement Learning: MathWorks
  • Introduction to Machine Learning: Duke University
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Advanced Learning Algorithms: DeepLearning.AI
  • Microsoft Azure Machine Learning: Microsoft
  • Machine Learning Fundamentals: Dartmouth College
  • Machine Learning with Python: IBM
  • Machine Learning for All: University of London

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