Course Content

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1.Google Cloud Platform Introduction

• What is Cloud computing

• Overview of different cloud computing services

• Understand the GCP environment

• Different Compute, Storage, Big Data and AI resources which GCP offers

• Google Network Service Offerings

• Setup GCP account

2.Managing GCP Services​

• Managing a GCP environment with a GCP console

• Control GCP environment using CLI

• GCP environment management using Cloud Shell

• GCP environment management using Cloud

• GCP environment management using Gsutil

• Install and configure cloud SDK

3.GCP Networking Services​

• Cloud Virtual Network

• Virtual Private Network

• Virtual Private Cloud

• Proxies / Gateway and Endpoints

• Network/Subnetwork

• DNS Resolution

• Firewalls and Routers

• Cloud Router

• Interconnecting networks

• Security aspect

4.GCP IAM and Security Services

• Understand Identity and Access Management (IAM)

• Understanding Organizations, Roles, Members, Service accounts, Policy

• Policy Hierarchy

• Understanding different role and permission

• Creating a custom role

• Basic IAM APIs

• Best Practices

• Key Management Systems

• Data security

• Resource Sharing and Isolation

• Auditing

• Penetration testing

• Security controls

5.GCP Compute Services

• Understand Compute Engine

• Understand and implement Compute options (vCPU and Memory) specific to workload

• Persistent disk – HDD, SSD

• Load Balancing

• Common Compute Engine actions

6.GCP Storage & Database Services

• Understand Cloud Storage – Nearline, Coldline

• Cloud SQL

• Cloud Spanner, Cloud Datastore

• Cloud Bigtable

• Pros and cons of storage option and how to choose

• Understanding Billing aspect of storage options

• The tradeoff of storage options

• Integration with on-premises/multi-cloud environment

7.Containers

• Understand Containers and their benefits

• Kubernetes Engine, Container Registry

• How to use Kubernetes Load Balancing

• How to choose Kubernetes Engine, App Engine, or Containers on Compute Engine

8.Cloud Dataflow for Data Processing

• Dataflow services

• Stream and Batch processing

• Apache Beam SDK

• Monitoring using Stackdriver

• Data transformation with Cloud Data flow

• Working with Dataproc

• Creating Cluster

• Managing cluster

• Automation of jobs

9.GCP APIs & Development Services

• Infrastructure automation, Images, Metadata, Scripts, Google Cloud API

• Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs

• App Engine

• How to use Google Stackdriver: Overview, Integration, Monitoring, Logging, Error reporting, Tracing

10.GCP DevOps Services

• Set up CI/CD

• Setting up Jenkins on Container engine

• Deploy the application on Jenkins

• Create deployment pipeline in Jenkins

• Create and Deploy on cluster

• Deploy development and production environment

• Analysis & Troubleshooting

11.Designing & Implementing GCP Migration

• Collect and analyze metrics

• Evaluate and choose an automation framework for provisioning resources in the cloud

• Design strategy

• Create a Migration Plan