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Blended Learning Courses

Blended learning courses can help you learn instructional design, effective assessment strategies, and techniques for integrating online and face-to-face teaching. You can build skills in creating engaging learning experiences, utilizing multimedia resources, and fostering collaboration among students. Many courses introduce tools like Learning Management Systems (LMS), video conferencing software, and interactive platforms, demonstrating how these technologies enhance the blended learning environment and support diverse learning needs.

Popular Blended Learning Courses and Certifications


  • U

    University of Michigan

    Learning Languages with AI

    Skills you'll gain: Language Learning, Communication, Writing

    ★ 4.1 (10) · Beginner · Course · 1 - 3 Months

  • B

    Board Infinity

    Machine Learning and Deep Learning for Software Engineers

    Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

  • P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Machine Learning Methods, Feature Engineering, Model Evaluation, Linear Algebra

    ★ 5 (8) · Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis

    ★ 4.5 (3.3K) · Mixed · Course · 1 - 4 Weeks

  • A

    American Psychological Association

    Better Learning

    Skills you'll gain: Learning Strategies, Learning Theory, Human Learning, Mental Concentration, Habit Formation, Productivity, Psychology, Time Management, Self-Awareness, Self-Discipline

    ★ 4.9 (17) · Beginner · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods

    ★ 4.8 (5.6K) · Mixed · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Machine Learning Methods, Text Mining, Machine Learning Algorithms, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Algorithms

    ★ 4.7 (3.7K) · Mixed · Course · 1 - 3 Months

  • I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Model Evaluation, Regression Analysis, Statistics, Machine Learning Methods, Machine Learning Algorithms, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Logistic Regression

    ★ 4.6 (9) · Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks

    ★ 4.7 (206) · Advanced · Course · 1 - 3 Months

  • I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Text Mining, Machine Learning, Big Data, Model Evaluation, Algorithms

    ★ 4.7 (366) · Intermediate · Course · 1 - 3 Months

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

  • Learning Languages with AI: University of Michigan
  • Machine Learning and Deep Learning for Software Engineers: Board Infinity
  • Learning Deep Learning: Unit 2: Pearson
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Practical Machine Learning: Johns Hopkins University
  • Better Learning: American Psychological Association
  • Machine Learning: Regression: University of Washington
  • Machine Learning: Classification: University of Washington
  • Statistical Learning: Illinois Tech
  • Advanced Machine Learning and Deep Learning: Packt

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