Google Cloud.
Build your next skill.

• Introduction to Google Cloud Platform
• Getting Started with Google Cloud Platform
• Virtual Machines and Networks in the Cloud
• Load Balancing
• Cloud IAM
• Autoscaling
• Storage in the Cloud
• Resource Management & Monitoring
• Infrastructure Automation with Google Cloud Platform APIs
• Infrastructure Automation with Deployment Manager
• Managed Service
• Application Infrastructure Services
• Application Development Services
• Containers

Introduction to 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)
• Lab: Console and Cloud Shell
• Demo: Projects
• Lab: Infrastructure Preview

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

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
• Cloud Virtual Private Network (VPN)
• Lab: Virtual Private Networks (VPN)
• Cloud Router, Cloud Interconnect, External Peering, Cloud DNS
• Lab: Compute Engine

Load Balancing

• Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing
• Lab: VM Automation and Load Balancing

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

Resource Management & Monitoring

• Cloud Resource Manager, Quotas, Labels, Names, Billing
• Demo: Billing Administration
• Lab: Examining Billing Data with BigQuery
• Stackdriver, Monitoring
• Lab: Resource Monitoring (Stackdriver)
• Logging, Error Reporting, Tracing, Debugging
• Lab: Error Reporting and Debugging (Stackdriver)

Infrastructure Automation with Google Cloud Platform APIs

• Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
• Lab: Google Cloud Platform API Infrastructure Automation

Containers

• Containers, Kubernetes Engine, Container Registry
• Lab: Kubernetes Load Balancing
• Kubernetes Engine, App Engine, or Containers on Compute Engine

Added features

• Resume Preparation
• Resume Preparation Tips
• Sample Resumes
• Soft copy of Notes for each module
• 4 case studies on use case diagrams
• 2 Real-time project specifications

Infrastructure Automation with Deployment Manager

• Deployment Manager, Configuration, Cloud Launcher
• Lab: Deployment Manager