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).
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.
3 - Google Compute Engine and Networking
Identify the purpose of and use cases for Google Compute Engine.Understand the basics of networking in Google Cloud Platform.Lab: Deploying Applications Using Google Compute Engine.
4 - Google Cloud Platform Storage Options
Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable.Learn how to choose between the various storage options on Google Cloud Platform.Lab: Integrating Applications with Google Cloud Storage.
5 - Google Container Engine
Define the concept of a container and identify uses for containers.Identify the purpose of and use cases for Google Container Engine and Kubernetes.Introduction to Hybrid and Multi-Cloud computing (Anthos).Lab: Deploying Applications Using Google Container Engine.
6 - Google App Engine and Google Cloud Datastore
Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore.Contrast the App Engine Standard environment with the App Engine Flexible environment.Understand the purpose of and use cases for Google Cloud Endpoints.Lab: Deploying Applications Using App Engine and Cloud Datastore.
7 - Deployment and Monitoring
Understand the purpose of template-based creation and management of resources.Understand the purpose of integrated monitoring, alerting, and debugging.Lab: Getting Started with Stackdriver and Deployment Manager.
8 - Big Data and Machine Learning
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.
9 - Summary and Review
Summary and Review.What's Next?.
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Who is it For?
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.
Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered