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Google Cloud Platform Fundamentals:

Core Infrastructure

This course introduces you to important concepts and terminology for working with Google Cloud Platform. You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. This course also introduces important resource and policy management tools such as the Resource Manager hierarchy and Cloud Identity and Access Management.

Time: 9:00am - 5:00 pm
Start date: 22.04.2022
Fee: Free
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    Latest update from Google Cloud

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    Free material and hand - on labs

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    Get certification after finishing course

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    Step by step to become " Cloud Expert"

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    Skills Covered

    • Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services.
    • Describe ways in which customers have used Google Cloud.
    • Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine.
    • Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.
    • Make basic use of BigQuery, Google’s managed data warehouse for analytics.
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    Introducing Google Cloud

    Explain the advantages of Google Cloud.
    Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
    Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).


    Getting Started with Google Cloud

    Identify the purpose of projects on Google Cloud.
    Understand the purpose of and use cases for Identity and Access Management.
    List the methods of interacting with Google Cloud.
    Lab: Getting Started with Cloud Marketplace.


    Virtual Machines in the Cloud

    Identify the purpose of and use cases for Google Compute Engine.
    Understand the basics of networking in Google Cloud.
    Lab: Getting Started with Google Compute Engine.


    Storage in the Cloud

    Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
    Learn how to choose between the various storage options on Google Cloud.
    Lab: Getting Started with Cloud Storage and Cloud SQL.


    Containers in the Cloud

    Define the concept of a container and identify uses for containers.
    Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
    Introduction to Hybrid and Multi-Cloud computing (Anthos).
    Lab: Getting Started with Kubernetes Engine.


    Applications in the Cloud

    Understand the purpose of and use cases for App Engine.
    Contrast the App Engine standard environment with the App Engine flexible environment.
    Understand the purpose of and use cases for Cloud Endpoints.
    Lab: Getting Started with App Engine.


    Developing, Deploying and Monitoring in the Cloud

    Understand the purpose of template-based creation and management of resources
    Understand the purpose of integrated monitoring, alerting, and debugging.
    Lab: Getting Started with Deployment Manager and Cloud Monitoring.


    Big Data and Machine Learning in the Cloud

    Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
    Lab: Getting Started with BigQuery.
    trainer information
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    Đặng Vũ Anh

    Google Cloud Authorized Trainer

    2 years of experience in consulting solutions for businesses to transform system to Google Cloud. Vu Anh hopes to have the opportunity to accompany and develop with businesses in digital transformation steps in the near future. Currently, Vu Anh is a Trainer of classes on building infrastructure on Google Cloud

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