Google Cloud Platform

Course Content

Overview:

Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

 

What you will learn:

  1. Compute Engine
  2. Data Storage Services
  3. Google App Engine
  4. Google Kubernetes Engine
  5. Networking and VPCs
  6. Load Balancing
  7. Logging, Monitoring, and Debugging
  8. IAM
  9. Managed Instance Groups
  10. Deployment
  11. Billing
  12. Security

Pre-requisites

Learners should be familiar with the fundamentals of cloud computing and relevant practical experience. Recommended having 6 months+ hands-on experience with Google Cloud to attempt the Associate Cloud Engineer Certification.

 

Module 01 - Introduction to Google Cloud

1.1 Understanding the fundamentals of Google Cloud Platform
1.2 The Google Global infrastructure
1.3 Products for storage, compute, networking, Machine Learning, and more
1.4 Availability zones
1.5 Different projects running on the GCP infrastructure, including Google projects

 

Module 02 - Google Cloud Services

2.1 Introduction to Google Cloud services
2.2 Managing Google services using command-line tools, app, and console
2.3 Installing and configuring SDK
2.4 Deploying Cloud Shell for GCP environment management
2.5 Deploying Gsutil

 

Module 03 - Google Computing Services

3.1 Understanding Google computing services
3.2 Creating and managing virtual machines in Google Cloud
3.3 Launching VMs on-demand using Google Compute Engine
3.4 Choosing the right computing solutions based on the workload like memory or CPU
3.5 Important actions with Compute Engine
3.6 Balancing the load

 

Module 04 - Google Storage Services

4.1 Various storage services offered with Google Cloud
4.2 The process of storing and retrieving data
4.3 Rich content management
4.4 Hosting a website
4.5 Choosing the right storage options
4.6 Integrating on-premises with the cloud storage environment
4.7 Nearline and Coldline storage
4.8 Cloud Datastore
4.9 Managing cloud storage using Gsutil

 

Module 05 - Google Cloud APIs

5.1 Deploying Google Cloud for developing applications and for debugging and monitoring purposes
5.2 Choosing the right data storage for application data
5.3 Automating infrastructure
5.4 Managing the API
5.5 Cloud source
5.6 Functions and special APIs
5.7 Implementing and configuring Cloud Launcher and Deployment Manager
5.8 Application deployment using Cloud Engine

 

Module 06 - Google Networking Services

6.1 Introduction to Google networking
6.2 Setting up the Google network
6.3 Connecting various Google Cloud Platform resources
6.4 Isolation using firewalls and network policies
6.5 Creating and managing of Virtual Private Network
6.6 Working with cloud routers and interconnecting networks

 

Module 07 - IAM & Security Services

7.1 Different security and identity and access management (IAM) services
7.2 Various roles in IAM
7.3 Creating and managing Google resources permissions
7.4 IAM APIs
7.5 The creation of custom roles
7.6 Sharing resources and isolation
7.7 Deploying penetration testing, auditing, and security controls

 

Module 08 - Migrating to Google Cloud

8.1 Understanding how to migrate to Google Cloud
8.2 Various criteria to be considered
8.3 Choosing the right options as per the specific needs
8.4 Managing a hybrid cloud model
8.5 Complete migration from the on-premises model to the cloud
8.6 Choosing an automation framework for resource provisioning

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