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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


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Django Advanced Applications: E-Learning, APIs, & Deployment

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Deep Learning in Electronic Health Records

    Skills you'll gain: Deep Learning, Data Preprocessing, Autoencoders, Machine Learning Methods, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Medical Records, Model Optimization, Health Informatics, Electocardiography, Electronic Medical Record, Predictive Modeling, Embeddings, Applied Machine Learning, Data Cleansing, Time Series Analysis and Forecasting, Dimensionality Reduction, Model Evaluation

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Python and Machine Learning for Asset Management

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Investments, Portfolio Risk, Machine Learning Methods, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Model Evaluation, Predictive Analytics, Market Data, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Analysis, Computer Science

    3.1
    Rating, 3.1 out of 5 stars
    ·
    332 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Integrations, Random Forest Algorithm, Diagnostic Tests, Clinical Experience, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Health Technology, Healthcare Industry Knowledge

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    23 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, AI Enablement, Mathematics and Mathematical Modeling, Data Analysis, Machine Learning, Dimensionality Reduction, Model Optimization, Artificial Neural Networks

    Build toward a degree

    Beginner · Course · 1 - 3 Months

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

  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Deep Learning and Advanced Techniques: Packt
  • Django Advanced Applications: E-Learning, APIs, & Deployment: Packt
  • Deep Learning & Modern AI Architectures: Packt
  • Deep Learning in Electronic Health Records: University of Glasgow
  • Python and Machine Learning for Asset Management : EDHEC Business School
  • AI Driven Machine Learning with Python: EDUCBA
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Deep Learning with Real-World Projects: Packt

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