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    02

    Google Cloud Compute and Scalability for AWS Professionals

    02

    Google Cloud Compute and Scalability for AWS Professionals

    magic_button Compute Instances Compute Engine
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    8 hours Introductory universal_currency_alt 15 Credits

    This is the second course of a four-course series for cloud architects and engineers with existing AWS knowledge. It aims to compare Google Cloud and AWS solutions and guide professionals on their use.

    This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the knowledge of using virtual machines and load balancers in AWS to explore the similarities and differences with configuring and managing compute resources and load balancers in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.

    When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

    Badge for Google Cloud Compute and Scalability for AWS Professionals
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    Course Info
    Objectives
    • Create and configure a Compute Engine instance in Google Cloud.
    • Explain the difference between Google Cloud images and AWS AMI.
    • Compare and contrast Cloud Load Balancing with AWS Load Balancers.
    • Explain the best use case for each specific type of load balancer (HTTP, TCP, SSL, Network, and Internal).
    • Describe managed instance groups (MIGs) and how to use them.
    Prerequisites
    Familiarity with AWS terms and concepts
    Audience
    Cloud Architects or Cloud Engineers who are experienced with AWS cloud.
    Available languages
    English
    What do I do when I finish this course?
    After finishing this course, you can explore additional content in your learning path or browse the catalog.
    What badges can I earn?
    Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
    Interested in taking this course with one of our authorized on-demand partners?
    Explore Google Cloud content on Coursera and Pluralsight.
    Prefer learning with an instructor?
    View the public classroom schedule here.
    Can I take this course for free?
    When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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