We’re proud to be a Google Cloud Partner providing full training and support across the Google Cloud Platform. What’s more with our award-winning instructors (as voted at the official Google Cloud Awards), you can be sure you will be in safe hands.
GTITS offers global Google Cloud training solutions. Each course is designed to help you or your organization get up to speed quickly with Cloud technology and adoption. We cater for both individuals looking to learn or enterprises looking to upskill entire organizations.
Our training can be delivered in the classroom or via Virtual Classroom. We are also able to create blended learning programs combining Coursera online cloud training products and our classroom training.
Course Overview
An introduction to the important concepts and terminology for working with the Google Cloud Platform (GCP) products and services.
Through a combination of presentations, demos, and hands-on labs, we will discuss the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies. You’ll gain basic knowledge of BigQuery, Cloud Development Manager and Google Stackdriver.
- Individuals planning to deploy applications and create application environments on Google Cloud Platform
- Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform
- Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs
- Identify the purpose and value of Google Cloud Platform products and services
- Interact with Google Cloud Platform services
- Describe ways in which customers have used Google Cloud Platform
- Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
- Choose among and use Google Cloud Platform 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
To get the most out of this course, you should have familiarity with the Linux command line, web servers, and text editors.
- 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)
- 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
- 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
- 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
- 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
- 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
- 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
- Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms
- Lab: BigQuery