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Edge Computing Courses

Edge computing courses can help you learn data processing at the network's edge, real-time analytics, and distributed systems. You can build skills in optimizing latency, enhancing data security, and deploying edge devices effectively. Many courses introduce tools like AWS IoT Greengrass, Microsoft Azure IoT Edge, and Kubernetes, that support managing edge applications and integrating AI capabilities. You'll also explore key topics such as edge architecture, device management, and the role of edge computing in IoT solutions.


Popular Edge Computing Courses and Certifications


  • C

    Coursera

    Data Science for Professionals

    Skills you'll gain: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Statistics, Data Wrangling, Data Cleansing, Data Preprocessing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Fairness & Bias

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Model Evaluation, Human Centered Design, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency

    Skills you'll gain: Responsible AI, Machine Learning, Artificial Intelligence, Interoperability, Model Evaluation, Data Ethics, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Parallel programming (Scala 2 version)

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Performance Tuning, Functional Design, Machine Learning Algorithms, Performance Testing, Computer Programming

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Analyzing and Visualizing Data the Google Way

    Skills you'll gain: Google Sheets, Data Literacy, Data Visualization Software, Spreadsheet Software, Big Data, Data Storytelling, Data Analysis, Data Presentation, Google Cloud Platform, Data Integration, Data Manipulation

    4
    Rating, 4 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    مجموعة أدوات عالم البيانات

    Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Transformation, Data Science, Data Analysis, R (Software), Data Processing, R Programming, Rmarkdown, Software Installation, Command-Line Interface

    4.7
    Rating, 4.7 out of 5 stars
    ·
    107 reviews

    Mixed · Course · 1 - 4 Weeks

  • S

    Sungkyunkwan University

    The Fundamental of Data-Driven Investment

    Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Financial Data, Statistical Programming, Regression Analysis, Data Manipulation, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Python and Rust with Linux Command Line Tools

    Skills you'll gain: Rust (Programming Language), Serverless Computing, Command-Line Interface, Maintainability, Amazon Web Services, Linux Commands, Application Deployment, Software Development Tools, Program Development, System Programming, Python Programming, Performance Tuning, Debugging, Software Testing

    5
    Rating, 5 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Microsoft Fabric: Implement and Manage Analytics Solutions

    Skills you'll gain: CI/CD, Microsoft Azure, Data Lakes, Microsoft Power Platform, Azure Synapse Analytics, Data Pipelines, Analytics, Data Governance, Advanced Analytics, Data Security, Data Analysis Expressions (DAX), Data Management, Power BI, Microsoft Excel, Exploratory Data Analysis, Apache Spark, Application Deployment, SQL, Governance, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • C

    Copenhagen Business School

    AI and the Illusion of Intelligence

    Skills you'll gain: Artificial Intelligence, Large Language Modeling, Natural Language Processing, Theoretical Computer Science, Human Learning, Statistical Analysis, Artificial Neural Networks, Computational Thinking, Human Computer Interaction, Social Impact

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Microsoft Azure For .NET Developers

    Skills you'll gain: Infrastructure As A Service (IaaS), Azure Active Directory, Microsoft Azure, Virtual Machines, .NET Framework, Kubernetes, Docker (Software), Cloud Development, Cloud Applications, Containerization, Microsoft SQL Servers, Application Deployment, Platform As A Service (PaaS), Microsoft Visual Studio, NoSQL, Serverless Computing, Cloud Storage, Authentications, Authorization (Computing), Scalability

    Intermediate · Course · 3 - 6 Months

  • I

    IBM

    Architecting Applications for IBM Z and Cloud

    Skills you'll gain: Containerization, Restful API, Event-Driven Programming, DevOps, Data Integration, z/OS, Solution Architecture, Cloud Applications, Microservices, Enterprise Architecture, IBM Cloud, Application Lifecycle Management, Cloud-Native Computing, Application Design, CI/CD, Systems Integration, Software Architecture, Mainframe Computing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular edge computing courses

  • Data Science for Professionals: Coursera
  • Responsible AI for Developers: Fairness & Bias: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency: Google Cloud
  • Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Analyzing and Visualizing Data the Google Way: Google Cloud
  • مجموعة أدوات عالم البيانات: Johns Hopkins University
  • The Fundamental of Data-Driven Investment: Sungkyunkwan University
  • Python and Rust with Linux Command Line Tools: Duke University
  • Microsoft Fabric: Implement and Manage Analytics Solutions: Whizlabs
  • AI and the Illusion of Intelligence: Copenhagen Business School

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