09/19/2022 - 09/19/2022
10:00 AM - 06:00 PM
Online Virtual Class
USD $550.00
Enroll
10/24/2022 - 10/24/2022
10:00 AM - 06:00 PM
Online Virtual Class
USD $550.00
Enroll
12/05/2022 - 12/05/2022
10:00 AM - 06:00 PM
Online Virtual Class
USD $550.00
Enroll

Audience

Architects, system integrators, technical managers, business analysts, and technical support staff new to Cloud Computing and Google Cloud.

Prerequisites

Basic knowledge of programming.

Duration

1 day

Outline for Google Cloud Primer Training

Chapter 1. Introduction to Cloud Computing

  • Cloud and Digital Transformation
  • What is Cloud Computing?
  • Validating Cloud's Value Proposition
  • Advantages of Cloud Computing
  • Coping with Computing Demand the Traditional Way
  • Coping with Computing Demand the Cloud Way
  • Cloud Multi-Tenancy Model
  • The NIST Perspective
  • Five Characteristics (NIST)
  • Cloud Service (Delivery) Models: IaaS, PaaS, and SaaS
  • IaaS
  • PaaS
  • SaaS
  • The Need for a Cloud Reference Model
  • Cloud Reference Model
  • Cloud Service Type Comparison
  • Shared Responsibility Model
  • The Four Cloud Deployment Models (NIST)
  • The NIST Cloud Definition Framework
  • Cloud Compute Services
  • Cloud Market Growth and Segment Leaders
  • Disadvantages of Cloud Computing
  • Summary

Chapter 2. Google Cloud Overview

  • What is Google Cloud?
  • Google Cloud circa 2021
  • What is Google Cloud Platform (GCP)?
  • Google Cloud Products (Services)
  • GCP at a Glance
  • What is a GCP Project?
  • Identifying a Project
  • Billing and Projects
  • Creating a Project in Cloud Console
  • Ways to Interact with Google Cloud
  • Cloud Shell
  • Location of the Cloud Shell Icon in the Cloud Console
  • The gcloud CLI Tool
  • Google Cloud Service Categories
  • Google Cloud Console Navigation Menu Options (1 of 3)
  • Google Cloud Console Navigation Menu Options (2 of 3)
  • Google Cloud Console Navigation Menu Options (3 of 3)
  • Computing Options
  • Compute Capabilities
  • Storage and Databases (1 of 2)
  • Storage and Databases (2 of 2)
  • Networking
  • Points of Presence (POPs)
  • The Google Cloud POPs Locations
  • Big Data (1 of 2)
  • Big Data (2 of 2)
  • Cloud AI
  • Management Tools
  • Identity & Security (1 of 2)
  • Identity & Security (2 of 2)
  • IoT (the Internet of Things)
  • The API Platform
  • Other Cloud Provider Services Comparison Chart
  • Regions and Zones
  • Setting the Default Compute Zone Using gcloud
  • Global, Regional, and Zonal Resources
  • Global, Regional, and Zonal Resources Relationship Diagram
  • Summary

Chapter 3. Identity and Access Management in GCP

  • What is Cloud Identity and Access Management ( IAM)?
  • Cloud Resource Hierarchy
  • Sample Google Cloud Resource Hierarchy
  • Cloud Identity
  • How IAM Works
  • Permission Management in IAM Diagram
  • Google Account vs Service Account
  • Google Groups
  • Summary

Chapter 4. Google Compute Engine and Networking

  • What is Google Compute Engine?
  • Virtual Machine (VM) Instances
  • Instance Types
  • Understanding Machine Types
  • The VM Billing Model
  • VM Import
  • Automatic Instance Scaling
  • Networking
  • Google Cloud Networking at a Glance
  • Network Service Tiers
  • IP Addresses
  • Google Cloud Load Balancing
  • Servicing both IPv6 and IPv4 Clients Diagram
  • Summary

Chapter 5. Google Cloud Platform Storage and Database Services

  • Storage and Databases (1 of 2)
  • Storage and Databases (2 of 2)
  • Cloud (Object) Storage
  • Key Concepts of the Cloud Storage
  • Cloud Storage Features (1 of 2)
  • Cloud Storage Features (2 of 2)
  • Cloud Storage Classes
  • Cloud Storage Object Encryption
  • Object Lifetime Management (OLM)
  • Cloud Storage Use Case: Integrated Repository for Analytics and Machine Learning
  • Cloud Bigtable
  • Bigtable Use Cases
  • BigQuery
  • BigQuery Data Source Integrations
  • Accessing BigQuery Console
  • BigQuery Use Case: Migrating Data from Teradata
  • Cloud SQL
  • Accessing the Cloud SQL Navigation Menu Option
  • Creating a MySQL Database Instance Dialog
  • Cloud Spanner
  • Datastore and Firestore
  • Firestore Features (1 of 2)
  • Firestore Features (2 of 2)
  • Summary

Chapter 6. Google Cloud Platform Container Services

  • What are Containers?
  • What are Containers For?
  • What are Container Services?
  • Google Kubernetes Engine (GKE)
  • GKE Components
  • The Benefits of Using Kubernetes Clusters
  • The CLI Tools
  • What is Anthos?
  • Anthos Deployment Options
  • Summary

Chapter 7. App Engine

  • What is Google App Engine?
  • Benefits of Using App Engine
  • App Engine Integrations
  • Sample Reference Architecture for a Typical App Engine Web App
  • App Engine Environments
  • Running Two Versions of the Same App Engine-Hosted App
  • Accessing Split Traffic in App Engine Dashboard
  • Configuring Traffic Splitting
  • Cloud Endpoints
  • Endpoint Architecture
  • Datastore and Firestore
  • Firestore Integration with App Engine
  • Summary

Chapter 8. Deployment and Monitoring in GCP

  • Cloud Deployment Manager
  • Deployment Manager Core Components
  • Resources
  • Configuration Example
  • Instance Templates
  • Creating (Instantiating) a Deployment
  • Listing Deployments
  • Google Cloud Management Tools at a Glance
  • Accessing the Monitoring Workspace
  • Cloud Monitoring UI
  • Creating an Uptime Check
  • Monitoring Compute Engine VM
  • Using Terraform with Google Cloud
  • Summary

Chapter 9. Big Data and Machine Learning in Google Cloud

  • What is Big Data?
  • The Big Data Confluence Diagram
  • Big Data in GCP
  • BigQuery
  • BigQuery Data Source Integrations
  • BigQuery Data Analytics Features
  • GCP's Machine Learning and AI Services
  • GCP's Machine Learning Tools and Support Services
  • Summary

Labs                       

1. A Tour of Qwiklabs and Google Cloud

2. Deploying Windows® Server in Compute Engine

3. Using Google cloud storage

4. Using BigQuery