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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

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Deutsch

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, Machine Learning, Information Privacy, Data Quality, Data Validation

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Student Services, Data Processing, Big Data, Agentic systems, Anomaly Detection, A/B Testing, Unstructured Data, Deep Learning, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 日本語版

      Skills you'll gain: Customer Relationship Management, Google Cloud Platform, Generative AI, Big Data, Predictive Modeling, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Contract Managers: Automating CLM

      Skills you'll gain: Contract Management, Performance Analysis, Contract Review, Generative AI, Contract Negotiation, Workflow Management, Compliance Management, Document Management, Business Process Automation, Vendor Management, Automation, Operational Efficiency, Data Governance, Risk Management

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Українська

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Generative AI, Data Security, Security Controls, Open Source Technology, Safety and Security, Artificial Intelligence, Machine Learning Methods

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Anomaly Detection, Dimensionality Reduction, Artificial Intelligence, Machine Learning, Regression Analysis, Probability & Statistics, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, Embedded Systems, Applied Machine Learning, Linear Algebra, Machine Learning Algorithms, Statistical Methods, Predictive Modeling, Bayesian Statistics, Ethical Standards And Conduct

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Predictive Modeling, Machine Learning, Continuous Monitoring, Performance Tuning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Polski

      Skills you'll gain: Artificial Intelligence, Data Ethics, Data Analysis, Software Visualization, Exploratory Data Analysis, Technical Documentation, Applied Machine Learning, Machine Learning Methods, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Cloud Services, Applied Machine Learning, Database Management, Linear Algebra, Natural Language Processing, JSON, Data Mining, Qualitative Research

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Artificial Intelligence

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Illinois Institute of Technology

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • C

      Clemson University

      Master of Science in Computer Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

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

    • Responsible AI for Developers: Fairness & Bias - Deutsch: Google Cloud
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Work with Gemini Models in BigQuery - 日本語版: Google Cloud
    • GenAI for Contract Managers: Automating CLM: Coursera Instructor Network
    • Responsible AI for Developers: Privacy & Safety - Українська: Google Cloud
    • Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
    • MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
    • Master of Applied Data Science: University of Michigan
    • Master of Science in Artificial Intelligence: University of Colorado Boulder

    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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