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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.


More to explore:

Popular E-Learning Courses and Certifications


  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Model Evaluation, Cloud Deployment, AI Workflows, Continuous Deployment, Continuous Integration, Automation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations with Vertex AI: Model Evaluation

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Data Ethics, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Strategizing the Use of Generative AI in Learning Design

    Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, ChatGPT, LLM Application, Education Software and Technology, Design Strategies, Artificial Intelligence, Data Ethics, Content Creation, Professional Development

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Deployment, Data Strategy, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Performance Tuning, Dataflow, Embeddings

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Learning Google Apps Script - Automate Google Apps

    Skills you'll gain: Scripting, Email Automation, Google Workspace, Google Sheets, Automation, Spreadsheet Software, Gmail, Javascript, Hypertext Markup Language (HTML), Web Applications, Application Design, Application Development, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Machine Learning Operations (MLOps): Getting Started - Español: Google Cloud
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
  • Strategizing the Use of Generative AI in Learning Design : University of Michigan
  • Statistics You Need to Know for Machine Learning: SAS
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt

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