What you’ll learn
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: 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.
Google Cloud at DDLS
DDLS is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, DDLS can support you through training wherever you are in your Cloud adoption journey.
Stay ahead of the technology curve
Don’t let your tech outpace the skills of your people
Quality instructors and content
Expert instructors with real world experience and the latest vendor- approved in-depth course content.
Chosen and awarded by the world’s leading vendors as preferred training partner.
Ahead of the technology curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Who is the course for?
This course is intended for the following participants:
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.
Module 1: 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).
Module 2: 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.
Module 3: 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.
Module 4: 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.
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.
Introduction to Hybrid and Multi-Cloud computing (Anthos).
Lab: Getting Started with Kubernetes Engine.
Module 6: 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.
Module 7: Containers in the Cloud
Understand how Cloud Source Repositories, Cloud Functions, and Deployment Manager support development in the cloud.
Understand the purpose of integrated monitoring, alerting, and debugging.
Lab: Getting Started with Deployment Manager and Cloud Monitoring.
Module 8: Big Data and Machine Learning in the Cloud
Module 9: Summary and Review
Summary and Review.
Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.
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