Associate

Google Cloud Fundamentals: Core Infrastructure

Introductory 1 day

This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.

Topics covered

Infrastructure | Application Development | Business Transformation | Security

Prerequisites

Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.

Objectives

● 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.

Audience

● 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

The course includes presentations, demonstrations, and hands-on labs.

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 Google Cloud.

Module 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.
• Lab: Getting Started with Google Compute Engine.

Module 4: Google Cloud 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.
• Lab: Getting Started with Cloud Storage and Cloud SQL.

Module 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.

Module 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.

Module 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.

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: Getting Started with BigQuery.

Module 9: Summary and Review

• Summary and Review.
• What's Next?.