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    • Distributed Systems

    Distributed Systems Courses Online

    Explore distributed systems for managing data across multiple locations. Learn to design and implement distributed architectures and cloud computing solutions.

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    Explore the Distributed Systems Course Catalog

    • 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, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Data Cleansing, Data Access, Deep Learning, Data Analysis, Applied Machine Learning, Predictive Modeling, Statistical Analysis, Statistical Inference, Statistical Hypothesis Testing, Machine Learning Algorithms, 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
      I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Large Language Modeling, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Avionics and Aircraft Systems: Fundamentals

      Skills you'll gain: Basic Electrical Systems, Maintenance, Repair, and Facility Services, Electronics, Control Systems, Electronic Systems, Electronic Components, Electrical Systems, Safety Assurance, Human Factors, Hardware Troubleshooting, Electric Power Systems, Display Devices, Digital Communications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      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
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introductory C Programming

      Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Application Deployment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark

      Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Functional Design, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • S

      Stanford University

      Cryptography I

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Energy Production, Distribution & Safety

      Skills you'll gain: Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Environmental Regulations, Energy and Utilities, Basic Electrical Systems, Electrical Safety, Safety Training, Electrical Equipment, Occupational Safety and Health Administration (OSHA), Low Voltage, Hazard Communication (HazCom), Environment Health And Safety, Workforce Development, Economics, Construction, Project Design, Environment, Environmental Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      An Introduction to American Law

      Skills you'll gain: Civil Procedures, Civil Law, Personal Injury Law, Commercial Laws, Lawsuits, Court Systems, Legal Proceedings, Plaintiff, Legal Research, Case Law, Law, Regulation, and Compliance, Criminal Investigation and Forensics, Legal Pleadings, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Virginia

      Marketing Analytics

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing, Marketing Strategies, Regression Analysis, Data-Driven Decision-Making, Strategic Marketing, Brand Management, Resource Allocation, Customer Insights, Predictive Analytics, Advertising Campaigns, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular distributed systems courses

    • IBM Machine Learning: IBM
    • Generative AI: Prompt Engineering Basics: IBM
    • Avionics and Aircraft Systems: Fundamentals: Coursera Instructor Network
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Introductory C Programming: Duke University
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
    • Machine Learning: University of Washington
    • Cryptography I: Stanford University
    • Energy Production, Distribution & Safety: University at Buffalo

    Skills you can learn in Computer Security And Networks

    Cybersecurity (33)
    Google (25)
    Google Cloud Platform (17)
    Internet (17)
    Cryptography (16)
    Network Security (16)
    Linux (12)
    Software Testing (12)
    Information Security (10)
    Application Programming Interfaces (8)
    Kubernetes (8)
    Web (8)

    Frequently Asked Questions about Distributed Systems

    Distributed systems are how large organizations manage a group of computers to work together to appear as a single computer to the end-user. Distributed systems share singular components on different computers or machines that are networked together through a distribution system. This helps the various users in organizations achieve common goals via a single, integrated network. Distributed systems are essential in our networked world for sharing different resources and capabilities. Sometimes called distributed computing, the systems work on the idea that a linked system can help to maximize resources and information while preventing any system-wide failures. In the case of a computer failure, the availability of service would not be affected with distributed systems in place.‎

    Distributed systems are valuable to learn because you might start to understand how distributed systems help technology services adjust to meet the demand for certain workloads. Distributed systems are what power our favorite web services and keep them available during times of great user activity. Learning about distributed systems may help you to understand the basic fundamentals of the speedy expansion and reduction of an organization’s network resource allocation. You may also learn about the benefits of distributed systems to organizations, like network openness, reliability, transparency, performance, and scalability.‎

    Careers in distributed systems may include jobs like software engineers in cloud distributed systems, distributed computing engineers, architects of distributed systems, and other high-knowledge software engineering positions. Working in this area may expose you to concepts like understanding the critical nature of queue-based systems, which are related to distributed systems, in that they allow for the correct measures of resource utilization and throughput.‎

    Taking online courses to learn distributed systems may provide you with new knowledge about how distributed systems operate by spreading out network requests and workloads. You may gain new insights about how distributed systems support more computing jobs in an organization than a standard single system. This is important to anyone who works in networked systems in organizations. When you take online courses on distributed systems, you may learn how to apply different programming languages like Python, SQL, or Java in distributed systems environments.‎

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

    When looking to enhance your workforce's skills in Distributed Systems, 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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