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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 Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Time Series Analysis and Forecasting, Predictive Modeling, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • G
      N
      G
      N

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 1 - 3 Months

    • M

      Meta

      Meta Front-End Developer

      Skills you'll gain: Jest (JavaScript Testing Framework), Version Control, UI/UX Research, Usability Testing, Responsive Web Design, Data Structures, Unix Commands, HTML and CSS, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, User Interface and User Experience (UI/UX) Design, Bootstrap (Front-End Framework), React.js, Mobile Development, Front-End Web Development, Algorithms, Javascript

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Professional Certificate · 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

    • U

      University of Michigan

      An Introduction to Learning Experience Design (LXD)

      Skills you'll gain: Multimedia, Learning Theory, Instructional Design, Web Content Accessibility Guidelines, Educational Materials, Learning Management Systems, Course Development, Design Thinking, Professional Development, Brainstorming, Education Software and Technology, Motivational Skills, Communication, Design, Student-Centred Learning, Creative Thinking, Diversity Equity and Inclusion Initiatives, User Centered Design, Technology Strategies, Quality Assurance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      69 reviews

      Beginner · Specialization · 1 - 3 Months

    • 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

    • D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Machine Learning with Python

      Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Python Programming, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, NumPy, Regression Analysis, Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Learn English: Beginning Grammar

      Skills you'll gain: Grammar, Vocabulary, English Language, Language Learning, Language Competency

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.6K reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Artificial Neural Networks, Governance, Prompt Engineering, Machine Learning, Automation, Digital Transformation, Business Transformation, Business Technologies, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

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

    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Machine Learning for Trading: Google Cloud
    • Meta Front-End Developer: Meta
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • An Introduction to Learning Experience Design (LXD): University of Michigan
    • IBM Generative AI Engineering: IBM
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Machine Learning with Python: IBM
    • Learn English: Beginning Grammar: University of California, Irvine
    • Introduction to Artificial Intelligence (AI): 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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