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    • E Learning

    E-Learning Courses Online

    Explore e-learning principles for online education. Learn to design and deliver effective digital learning experiences.

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    Build job-relevant skills in under 2 hours with hands-on tutorials.
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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
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    Explore the E-Learning Course Catalog

    • 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

    • IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Data Ethics, Google Cloud Platform, Business Ethics, Application Development, Artificial Intelligence, Accountability, Regulatory Compliance, Compliance Training, Ethical Standards And Conduct, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Governance, Organizational Effectiveness, Machine Learning, Machine Learning Methods, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: AI skills
      AI skills

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      142K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • 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

    • Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      447 reviews

      Advanced · Specialization · 3 - 6 Months

    • DeepLearning.AI

      Machine Learning in Production

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • 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

    • Status: Free
      Free

      University of Pennsylvania

      English for Career Development

      Skills you'll gain: English Language, Vocabulary, Business Writing, Interviewing Skills, Verbal Communication Skills, Business Correspondence, Social Skills, Professional Networking, Professional Development, Business Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New

      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

    • 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

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    1234…481

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

    • Machine Learning for Trading: Google Cloud
    • Python for Data Science, AI & Development: IBM
    • Introduction to Generative AI Learning Path: Google Cloud
    • IBM Data Science: IBM
    • Introduction to Artificial Intelligence (AI): IBM
    • MLOps | Machine Learning Operations: Duke University
    • Machine Learning in Production: DeepLearning.AI
    • IBM AI Engineering: IBM
    • AI For Everyone: DeepLearning.AI
    • English for Career Development: University of Pennsylvania

    Frequently Asked Questions about E Learning

    Before starting to learn E-Learning, it may be helpful to possess teaching and technology skills. If you have a basic understanding of Web 2.0 tools and platforms, such as Twitter and Skype used in K-16 instruction, you may have the foundation needed to study advanced E-Learning. If you can keep up with the fast-paced evolution of the E-learning industry, you may already have the skills necessary to learn the subject.‎

    Studying E-Learning could be right for you if you're an educator or trainer who wants to be able to overcome the challenges of effectively integrating online technologies into your teaching. E-Learning could benefit you if you are interested in exploring your level of experience and drawing on your strengths to find the right approaches for you, your students, and your educational context and content. If you want to learn about using multimedia for teaching and learning, encourage student collaboration, and discover how to use formative assessment and feedback by using digital flow tools, studying E-Learning may be right for you. If you want to understand E-Learning concepts, such as cognitive load theory (CLT) and transactional distance design frameworks used for creating technology-enriched and enabled learning environments (TEELE), this topic is the right one for you to study.‎

    One of the common career paths opening up to someone in E-Learning is a learning experience designer creating transformative and complex online learning experiences using technology. Many business sectors are hiring people for E-Learning projects, such as in health care, finance and insurance, government services, software technology, and of course all levels of education. A common career path for someone in E-Learning is in corporate human resources to train and develop employees around the globe. Many common career paths are becoming available for someone in E-Learning. That’s because for over three decades, educators and technologists have made the case for the transformative power of technology in learning, and many societal shifts are making institutions and businesses pay more attention to the concept of new learning in the 21st century.‎

    Related topics to E-Learning that you can study include gaming, which may help you design online learning experiences that will motivate and build teamwork. Another related topic you could study is mobile technology, which helps you understand how people need coursework delivered anywhere and anytime. You can also study cloud authoring, a topic related to E-learning because it helps you understand how to communicate a lot of information to teams. Learning more about video training and technology might be a good option so you can customize your E-Learning content with motivating and engaging visuals.‎

    Online E-Learning courses offer a convenient and flexible way to enhance your knowledge or learn new E-Learning skills. Choose from a wide range of E-Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in E-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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