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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


  • B

    Banco Interamericano de Desarrollo

    Quadro de Política Ambiental e Social do BID

    Skills you'll gain: Sustainable Development, Sustainability Standards, Environmental Policy, Environmental Resource Management, Environmental Management Systems, Stakeholder Engagement, Environment and Resource Management, Pollution Prevention, Environmental Regulations, Stakeholder Management, Natural Resource Management, Social Impact, Community Health, Health And Safety Standards, Community Development, Stakeholder Analysis, Occupational Safety And Health, Program Standards, Mitigation, Risk Management

    Beginner · Course · 1 - 3 Months

  • M

    MathWorks

    Deep Learning for Object Detection

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Matlab, Fine-tuning, Data Preprocessing, Software Visualization, Transfer Learning, Model Optimization, Data Analysis, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Model Training, Data Collection, AI Workflows, MLOps (Machine Learning Operations), Statistical Analysis, Model Deployment, Data Processing, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Machine Learning Algorithms, Process Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Data Transformation, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · 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
    Rating, 4.4 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Medical Science and Research, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Generative Model Architectures, Deep Learning, Health Policy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    628 reviews

    Beginner · Course · 1 - 3 Months

  • S

    Sapienza University of Rome

    Paesaggi di Roma Antica. Archeologia e storia del Palatino.

    Skills you'll gain: Ancient History, Public History, Spatial Analysis, World History, Research, Culture, European History, Technology Solutions, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147 reviews

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Machine Learning Methods, Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Model Training, Artificial Neural Networks, Data Processing, Data Preprocessing

    3.3
    Rating, 3.3 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Quadro de Política Ambiental e Social do BID: Banco Interamericano de Desarrollo
  • Deep Learning for Object Detection: MathWorks
  • Practical Machine Learning on H2O: H2O.ai
  • Follow a Machine Learning Workflow: CertNexus
  • Core Machine Learning & Evaluation: Packt
  • Fundamentals of Deep Learning: Whizlabs
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Fundamentals of Machine Learning for Healthcare: Stanford University

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