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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


  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Optimization, Classification Algorithms, Amazon Web Services, Model Training, Machine Learning Methods, Machine Learning Software, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • B

    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Classification Algorithms, Java Programming, Data Preprocessing, Machine Learning Software, Model Training, Model Deployment, Model Evaluation, Decision Tree Learning, Logistic Regression

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative AI, Artificial Intelligence

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Deep Learning: Advanced Backbones and Efficient GPU Training

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    AI for Lawyers: Learning and Leading

    Skills you'll gain: AI literacy, Critical Thinking, Critical Thinking and Problem Solving, Advocacy, Artificial Intelligence, AI Integrations, Communication, Leadership Development, Professional Development, Constructive Feedback, Leadership, Adaptability, Communication Strategies, Creativity, Generative AI

    4.4
    Rating, 4.4 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, AI Personalization, Responsible AI, AI powered creativity, Education Software and Technology, ChatGPT, Instructional Design, AI literacy, Ideation, AI Integrations, Brainstorming, Data Ethics, Design Strategies, Content Creation, Emerging Technologies, Persona Development, Professional Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    87 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Learning Experience Design: Orientation to the Profession

    Skills you'll gain: Instructional Design, Learning Theory, Design, Disabilities, Education Software and Technology, Professional Development, Diversity Awareness, Diversity Equity and Inclusion Initiatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    82 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Machine Learning Fundamentals for Java Developers: Board Infinity
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • Machine Learning with PySpark: Recommender System: Coursera
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • DevOps for Machine Learning: CI/CD, APIs & Deployment: Board Infinity
  • Deep Learning: Advanced Backbones and Efficient GPU Training: Board Infinity
  • AI for Lawyers: Learning and Leading: University of Michigan
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Generative AI as a Learning Design Partner: University of Michigan

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