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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.
    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.
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    Explore the E-Learning Course Catalog

    • I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Development Tools, Application Deployment, Collaborative Software, Automation, Flask (Web Framework), Web Scraping, Python Programming, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Macquarie University

      Excel Skills for Business

      Skills you'll gain: Microsoft Excel, Dashboard, Excel Formulas, Spreadsheet Software, Data Visualization, Excel Macros, Data Validation, Data Analysis Expressions (DAX), Data Cleansing, Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Finance, Data Management, Business Intelligence Software, Consolidation, Data Integrity, Data Entry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      62K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • 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

    • U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 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

    • I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      558 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      I

      IBM

      IBM AI Product Manager

      Skills you'll gain: Prompt Engineering, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Product Roadmaps, ChatGPT, Large Language Modeling, Product Planning, Commercialization, Product Strategy, Artificial Intelligence, Project Management Life Cycle, Data Ethics, OpenAI, Stakeholder Engagement, Stakeholder Management, Competitive Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Professional Certificate · 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

    • I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Generative AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, IBM Cloud, Private Cloud, Data Loss Prevention, Applied Machine Learning, Deep Learning, WordPress, Artificial Neural Networks, Governance, Machine Learning, Generative AI Agents, Automation, Digital Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of London

      Machine Learning for All

      Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection

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

      Beginner · Course · 1 - 4 Weeks

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

    • Applied Software Engineering Fundamentals: IBM
    • Excel Skills for Business: Macquarie University
    • Exploratory Data Analysis for Machine Learning: IBM
    • Reinforcement Learning: University of Alberta
    • Machine Learning: University of Washington
    • TESOL Certificate, Part 1: Teach English Now!: Arizona State University
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • IBM AI Product Manager: IBM
    • Advanced Machine Learning on Google Cloud: Google Cloud

    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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