Module 1: Introducing Google Cloud Platform
Explain the advantages of Google Cloud Platform.
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).
Module 2: Getting Started with Google Cloud Platform
Identify the purpose of projects on Google Cloud Platform.
Understand the purpose of and use cases for Identity and Access Management.
List the methods of interacting with Google Cloud Platform.
Lab: Getting Started with Google Cloud Platform.
Module 3: Virtual Machines and Networks in the Cloud
Identify the purpose of and use cases for Google Compute Engine.
Understand the various Google Cloud Platform networking and operational tools and services.
Lab: Compute Engine
Module 4: Storage in the Cloud
Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.
Learn how to choose between the various storage options on Google Cloud Platform.
Lab: Cloud Storage and Cloud SQL
Module 5: 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.
Lab: Kubernetes Engine
Module 6: Applications in the Cloud
Understand the purpose of and use cases for Google App Engine.
Contrast the App Engine Standard environment with the App Engine Flexible environment.
Understand the purpose of and use cases for Google Cloud Endpoints.
Lab: App Engine
Module 7: Developing, Deploying, and Monitoring in the Cloud
Understand options for software developers to host their source code.
Understand the purpose of template-based creation and management of resources.
Understand the purpose of integrated monitoring, alerting, and debugging.
Lab: Deployment Manager and Stack driver
Module 8: 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: Big Query
This class is intended for the following:
Individuals planning to deploy applications and create application environments on Google Cloud Platform.
Developers, systems operations professionals, and solution architects getting started with Google CloudPlatform.
Executives and business decision-makers evaluating the potential of Google Cloud Platform to address their business needs.
Familiarity with the Linux command line, web servers, and text editors.
This course is not associated with any Certification.
You may also contact us and find out more about the courses at:
+65 6815 3978 (Mon–Fri 9.00am to 5.00pm) or email us at email@example.com