Cloud Engineering

Cloud Engineering is the application of engineering disciplines to cloud computing. It involves designing, building, and delivering cloud-based systems and services. Coursera's Cloud Engineering catalogue provides you with the knowledge and skills to understand the technology behind cloud services and platforms such as AWS, Google Cloud, and Microsoft Azure. You'll learn about cloud architecture, virtualization, networking, security, and management, as well as how to design and deploy scalable, highly available, and fault-tolerant systems on the cloud. Furthermore, you'll gain insights into cost-efficient usage of systems, data storage, and the implementation of cloud-based applications. This catalogue empowers you to navigate the ever-evolving cloud technology landscape, making you a valuable asset in the IT industry.
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Results for "cloud engineering"

  • Google Cloud

    Skills you'll gain: Data Wrangling, Data Transformation, Data Pipelines, Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Integration, Cloud Development, Cloud-Based Integration, Data Analysis, Database Administration, Data Management

    Beginner · Project · Less Than 2 Hours

  • Status: Preview

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Infrastructure, Machine Learning, Systems Design, Data Processing, Data Pipelines, Data Architecture, Big Data, Cloud Engineering, Data Visualization, Cloud Security, Data Storage, Scalability

    Advanced · Course · 1 - 3 Months

  • Google Cloud

    Skills you'll gain: Google Cloud Platform, Kubernetes, Cloud Infrastructure, Debugging, Cloud Computing, Cloud Engineering, System Configuration, Network Troubleshooting, Problem Management

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial

    Duke University

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    51 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview

    Coursera Instructor Network

    Skills you'll gain: Responsible AI, Generative AI, AI Product Strategy, Google Cloud Platform, Cloud Management, Cloud Engineering, System Support, Data Ethics, Technical Communication, Strategic Planning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Duke University

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Application Deployment, Development Environment, Test Automation, Algorithms, Virtual Environment

    4.4
    Rating, 4.4 out of 5 stars
    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Whizlabs

    Skills you'll gain: Apache Airflow, Amazon Web Services, Cloud Engineering, Cloud-Native Computing, Network Architecture, Virtual Private Networks (VPN), Network Routing, Data Pipelines, Network Security, Microservices, Event-Driven Programming, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Needs Assessment, Big Data, System Requirements, Analytical Skills, Business Analysis, Cloud Computing Architecture, Cloud Engineering

    Beginner · Course · 1 - 4 Weeks

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