Google Cloud Fundamentals: Core Infrastructure
- Created By raju2006
- Last Updated December 27th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
Join our one-day instructor-led class for a comprehensive introduction to Google Cloud products and services. This immersive experience combines presentations, demonstrations, and interactive labs to help you grasp the immense value of Google Cloud and integrate cloud-based solutions seamlessly into your business strategies.
Course Code/Duration:
BDT98 / 1 Day
Learning Objectives:
This course teaches participants the following skills:
- 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: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
- Choose among and use Google Cloud storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
- Make basic use of BigQuery, Google’s managed data warehouse for analytics
- Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
- Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system
- Familiarity with the Linux command line, web servers, and text editors.
This class is intended for the following:
- Individuals planning to deploy applications and create application environments on Google Cloud.
- Developers, systems operations professionals, and solution architects getting started with Google Cloud.
- Executives and business decision-makers evaluating the potential of Google Cloud to address their business needs.
This class is intended for the following:
- Individuals planning to deploy applications and create application environments on Google Cloud.
- Developers, systems operations professionals, and solution architects getting started with Google Cloud.
- Executives and business decision-makers evaluating the potential of Google Cloud to address their business needs.
Course Outline:
Module 1: Introducing Google Cloud Platform
- How to use Docker, Compose and Kubernetes on your machine for better software building and testing.
- Explain the advantages of Google Cloud Platform.
- Define the components of Google’s network infrastructure, including Points of presence, data centres, 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 Stackdriver
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: BigQuery
Training material provided:
Yes (Digital format)
The curriculum is empty
[INSERT_ELEMENTOR id="19900"]
