I.       Overview:

This track includes :

Google Cloud Platform Fundamentals: Core Infrastructure - GCPCIN - 1 Day

Architecting with Google Compute Engine - GCPGCE - 3 Days

Google Cloud Platform Fundamentals: Core Infrastructure one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Architecting with Google Compute Engine is three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

II.     Duration: 4 days

III. Objectives

Google Cloud Platform Fundamentals: Core Infrastructure course teaches participants the following skills:

• 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

Architecting with Google Compute Engine course teaches participants the following skills:

• Configure VPC networks and virtual machines
• Administer Identity and Access Management for resources
• Implement data storage services in GCP
• Manage and examine billing of GCP resources
• Monitor resources using Stackdriver services
• Connect your infrastructure to GCP
• Configure load balancers and autoscaling for VM instances
• Automate the deployment of GCP infrastructure services
• Leverage managed services in GCP

IV. Intended Audience

• 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.
• Cloud Solutions Architects, DevOps Engineers.
• Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.

V.    Prerequisites

Participants should have:

• Completion of Google Cloud Platform Fundamentals or equivalent experience
• Basic proficiency with command-line tools and Linux operating system environments
• Systems Operations experience, including deploying and managing applications, either on-premises or in a public cloud environment
• Familiarity with the Linux command line, web servers, and text editors.

VI. Outline

1.       In Google Cloud Platform Fundamentals: Core Infrastructure, you will learn

      Module 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).

      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

1. 2.       In Architecting with Google Compute Engine, you will learn

      Module 1: Introduction to Google Cloud Platform

• List the different ways of interacting with GCP
• Use the GCP Console and Cloud Shell
• Create Cloud Storage buckets
• Use the GCP Marketplace to deploy solutions

      Module 2: Virtual Networks List the VPC objects in GCP

• Differentiate between the different types of VPC networks
• Implement VPC networks and firewall rules
• Design a maintenance server

      Module 3: Virtual Machines

• Recall the CPU and memory options for virtual machines
• Describe the disk options for virtual machines
• Explain VM pricing and discounts
• Use Compute Engine to create and customize VM instances

      Module 4: Cloud IAM

• Describe the Cloud IAM resource hierarchy
• Explain the different types of IAM roles
• Recall the different types of IAM members
• Implement access control for resources using Cloud IAM

      Module 5: Storage and Database Services

• Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
• Choose a data storage service based on your requirements
• Implement data storage services

      Module 6: Resource Management

• Describe the cloud resource manager hierarchy
• Recognize how quotas protect GCP customers
• Use labels to organize resources
• Explain the behavior of budget alerts in GCP
• Examine billing data with BigQuery

      Module 7: Resource Monitoring

• Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging
• Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring
• Use Stackdriver Debugger to identify and fix errors

      Module 8: Interconnecting Networks

• Recall the GCP interconnect and peering services available to connect your infrastructure to GCP
• Determine which GCP interconnect or peering service to use in specific circumstances
• Create and configure VPN gateways
• Recall when to use Shared VPC and when to use VPC Network Peering

      Module 9: Load Balancing and Autoscaling

• Recall the various load balancing services
• Determine which GCP load balancer to use in specific circumstances Describe autoscaling behavior
• Configure load balancers and autoscaling

      Module 10: Infrastructure Automation

• Automate the deployment of GCP services using Deployment Manager or Terraform
• Outline the GCP Marketplace

      Module 11: Managed Services

• Describe the managed services for data processing in GCP