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    • Blended Learning

    Blended Learning Courses Online

    Explore blended learning techniques for combining online and face-to-face education. Learn to design and deliver effective blended learning experiences.

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    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.

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    Explore the Blended Learning Course Catalog

    • I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Generative AI, Data Wrangling, Large Language Modeling, Unit Testing, Supervised Learning, Feature Engineering, Keras (Neural Network Library), Deep Learning, ChatGPT, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Unsupervised Learning, Data Manipulation, PyTorch (Machine Learning Library), Artificial Intelligence, Data Import/Export, Data Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      86K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • A

      Arizona State University

      TESOL Certificate, Part 1: Teach English Now!

      Skills you'll gain: Oral Comprehension, Language Competency, Pedagogy, English Language, Learning Strategies, Instructional Strategies, Enthusiasm, Motivational Skills, Oral Expression, Learning Styles, Language Learning, Education Software and Technology, Vocabulary, Design Elements And Principles, Learning Theory, Design Strategies, Grammar, Self-Awareness, Stress Management, Goal Setting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      19K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Artificial Intelligence, Generative AI, Data Ethics, Cloud Storage, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure As A Service (IaaS), Big Data, Emerging Technologies, Applied Machine Learning, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Application Deployment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Introduction to Psychology

      Skills you'll gain: Psychology, Mental and Behavioral Health Specialties, Child Development, Mental Health, Human Learning, Social Sciences, Behavioral Health, Neurology, Biology, Scientific Methods

      4.9
      Rating, 4.9 out of 5 stars
      ·
      31K reviews

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      709 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Software Development Tools, Web Development, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      68K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yonsei University

      First Step Korean

      Skills you'll gain: Language Competency, Grammar, Vocabulary, Literacy, Culture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      52K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Data Storytelling, Program Development, Data Modeling, Data Presentation, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Specialization · 1 - 3 Months

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

    • IBM Generative AI Engineering: IBM
    • TESOL Certificate, Part 1: Teach English Now!: Arizona State University
    • Data Science: Foundations using R: Johns Hopkins University
    • Neural Networks and Deep Learning: DeepLearning.AI
    • Key Technologies for Business: IBM
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Introduction to Psychology : Yale University
    • TensorFlow 2 for Deep Learning: Imperial College London
    • AI For Everyone: DeepLearning.AI
    • IBM AI Developer: IBM

    Frequently Asked Questions about Blended Learning

    Blended learning refers to an education model that combines elements of traditional face-to-face instruction with online learning. This hybrid education system gives students greater control over where, how, and how quickly they progress through learning materials. Increased student control is a key feature of blended learning.‎

    It's important to learn blended learning because the roles of teachers and students in blended learning models are different than in traditional learning systems. In a traditional classroom, teachers primarily give information to students. In a blended learning model, they act as motivators and facilitators. Students must take a more active role in the learning process in a blended learning environment.

    If you're a teacher, it’s also important for you to know how to choose and provide engaging, interactive resources for students. Strategies and materials that work well in face-to-face instruction do not automatically have the same effect in a blended learning model. It’s also helpful to learn how to use some of the more popular learning management systems, whether you're a student or a teacher, so you understand the benefits and drawbacks of working within the system.‎

    There are several types of job opportunities available if you're interested in blended learning, ranging from class instructor to account representative for a learning management system. Blended learning requires curriculum developers who understand how to design courses for online learning and independent study. Other related roles include designers and developers for learning management systems. Companies that sell learning management systems to schools hire sales representatives, consultants, and technical specialists to support the schools and teachers who use their products.‎

    To succeed in blended learning, you'll want to have the ability to connect with people and value creativity and engagement with your students. You need to believe in the potential of online learning and independent study. You'll need to be an excellent time manager and can motivate yourself to keep up with tasks related to the job.‎

    Online Blended Learning courses offer a convenient and flexible way to enhance your existing knowledge or learn new Blended Learning skills. With a wide range of Blended Learning classes, you can conveniently learn at your own pace to advance your Blended Learning career skills.‎

    When looking to enhance your workforce's skills in Blended Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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