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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


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    G

    Google Cloud

    Google Cloud IAM e Rede para profissionais AWS

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon Web Services, Google Cloud Platform, Cloud Management, Identity and Access Management, User Accounts, Firewall, Cloud Infrastructure, Virtual Networking, Network Architecture, Computer Networking, General Networking, Network Routing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    K

    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Data Validation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Comment utiliser l'automatisation pour envoyer des e-mails avec MailChimp

    Skills you'll gain: Email Automation, Email Marketing, Marketing Automation, Automation, Digital Marketing Tools, Registration, Marketing, E-Commerce, Social Media, Business

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • 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
    D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud API, Cloud Deployment, Machine Learning, Microsoft Azure, Model Training, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    96 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing, Model Evaluation, Predictive Modeling, Predictive Analytics, Diagnostic Tests, Analytics, Classification Algorithms, Software Installation

    Mixed · Course · 1 - 4 Weeks

1…434445…834

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

  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Introduction to Machine Learning with Python: Arizona State University
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Google Cloud IAM e Rede para profissionais AWS: Google Cloud
  • Deep Learning for Computer Vision: Techniques & Applications: Khalifa University
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Comment utiliser l'automatisation pour envoyer des e-mails avec MailChimp: Coursera
  • Deep Learning - Crash Course 2023: Packt
  • Titanic Survival Prediction Using Machine Learning: Coursera

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