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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.
    Earn career credentials from industry leaders that demonstrate your expertise.
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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

    • Status: Free Trial
      Free Trial
      N
      G
      N
      G

      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

    • Status: Free Trial
      Free Trial
      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), ChatGPT, Deep Learning, Machine Learning, Artificial Neural Networks, Prompt Engineering, Governance, Automation, Business Transformation, Applied Machine Learning, Computer Vision, Ethical Standards And Conduct, Natural Language Processing

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Data Cleansing, Data Access, Deep Learning, Data Analysis, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Statistical Inference, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Generative AI for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, OpenAI, ChatGPT, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Automation, Ethical Standards And Conduct, Cloud Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      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
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Network Security, Threat Management, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Intrusion Detection and Prevention, Cyber Threat Intelligence, Cyber Attacks, Cybersecurity, Network Protocols, Professional Networking, Cloud Security, Bash (Scripting Language), Operating Systems, Security Controls, Debugging, Interviewing Skills, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      51K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      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
      ·
      459 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, HTML and CSS, Software Development Life Cycle, Software Architecture, Large Language Modeling, Unit Testing, Generative AI, Artificial Intelligence, Software Design, ChatGPT, Jupyter, Scrum (Software Development), Software Engineering, Agile Methodology, Bootstrap (Front-End Framework), Web Design, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    E-learning learners also search

    Education
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    Public Policy
    Systems Thinking
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    1234…493

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

    • Machine Learning for Trading: New York Institute of Finance
    • Introduction to Artificial Intelligence (AI): IBM
    • IBM Machine Learning: IBM
    • Deep Learning: DeepLearning.AI
    • Generative AI for Everyone: DeepLearning.AI
    • Machine Learning in Production: DeepLearning.AI
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Google Cybersecurity: Google
    • MLOps | Machine Learning Operations: Duke University
    • Machine Learning with Python: IBM

    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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