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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

    Universidad de los Andes

    Introducción al deep learning contemporáneo

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Network Architecture, Natural Language Processing, Model Training

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Curriculum

    Skills you'll gain: Curriculum Development, Curriculum Planning, Teaching, Education and Training, Instructional and Curriculum Design, Instructional Strategies, Adult Education, Lesson Planning, Pedagogy, Student-Centred Learning, Student Engagement, Collaboration, Learning Theory, Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    529 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Analytics, Data Manipulation, Predictive Analytics, Model Training, Predictive Modeling, Machine Learning, Data Access, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

  • N

    Northeastern University

    Machine Learning for Healthcare Professionals

    Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Health Technology, Analytics, Data Preprocessing, AI Integrations, Machine Learning, Machine Learning Algorithms, Health Care, Applied Machine Learning, Data Analysis, Correlation Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Home Health Care, Data Quality, Responsible AI, Business Process Improvement

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    101 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Mathematical Modeling, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    956 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, Model Training, DevOps, Continuous Deployment, CI/CD, AI Workflows, Automation

    4
    Rating, 4 out of 5 stars
    ·
    485 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems - Español

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Model Training, Tensorflow, Systems Architecture, Performance Tuning, Software Architecture, Systems Design, Distributed Computing, Applied Machine Learning, Machine Learning, Scalability, Hybrid Cloud Computing, Dependency Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, Machine Learning Software, Model Training, Feature Engineering, Data Cleansing, Responsible AI, Machine Learning Methods, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Statistical Methods, Application Deployment, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    The Teacher's Social and Emotional Learning

    Skills you'll gain: Self-Awareness, Teaching, Education and Training, Empathy & Emotional Intelligence, Journals, Pedagogy, Empathy, Growth Mindedness, Tenacity, Persistence, Relationship Building

    4.7
    Rating, 4.7 out of 5 stars
    ·
    712 reviews

    Advanced · Course · 1 - 3 Months

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

  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • Foundations of Teaching for Learning: Curriculum: Commonwealth Education Trust
  • Bracketology with Google Machine Learning: Google Cloud
  • Machine Learning for Healthcare Professionals: Northeastern University
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • Building, Optimizing, and Validating Machine Learning Models: Coursera
  • Production Machine Learning Systems - Español: Google Cloud

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