Google Cloud Certification Training

Module 1: Google Cloud Platform Introduction

What is Cloud computing

Overview of different cloud computing services

Understand GCP environment

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

Google Network Service Offerings

Setup GCP account

Module 2: Google Cloud Platform (GCP) Infrastructure

Compute resources

Networking Services

Storage and Database offering

Bigdata and AI services

Basics of GCP Project

Introduction to Primitive role

Module 3: Managing GCP Services

How to manage GCP using GCP console

How to use Cloud Shell to manage GCP environment

How to use Gcloud tool to manage GCP environment

How to use Gsutil tool to manage cloud storage

Install/configure cloud SDK

Managing GCP environment with GCP console

Control GCP environment using CLI

GCP environment management using Cloud Shell

GCP environment management using Gcloud

GCP environment management using Gsutil

Install and configure cloud SDK

Add components to use the Gcloud tool to manage GCP resources

Using Gsutil tool do file operations

Module 4:GCP Networking Services

How to use VPC

Create/Manage VPN

How to use cloud router

Create/Modify Firewall policies

Work with Routes

Configure and Deploy Endpoints

Cloud Virtual Network

Virtual Private Network

Virtual Private Cloud

Proxies / Gateway and Endpoints

Network/Subnetwork

DNS Resolution

Firewalls and Routes

Cloud Router

Interconnecting networks

Security aspect

Create virtual private network with multiple subnets and apply firewall rules

Module 5: GCP IAM and Security Services

Security aspect of GCP

Understand Identity and Access Management

IAM Role – Primitive, Predefined, Custom

IAM Policy and Policy Hierarchy

Best Practices for IAM role, policy and service account

Create and manage permissions for Google Cloud Platform resources

Understand Identity and Access Management (IAM)

Understanding Organizations, Roles, Members, Service accounts, Policy

Policy Hierarchy

Understanding different role and permission

Creating custom role

Basic IAM APIs

Best Practices

Key Management Systems

Data security

Resource Sharing and Isolation

Auditing

Penetration testing

Security controls

Module 6: GCP Compute Services

Create Virtual Machine and VM instances

Working with VM

Understand Compute Engine

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

Persistent disk – HDD, SSD

Load Balancing

Common Compute Engine actions

Create Custom Machine Types optimized for specific needs

Creating VM instance using CLI

Working with Virtual Machine – Attaching persistent disk to VM

Module 7: GCP Storage & Database Services

How to store data

How to retrieve data

Archiving cold data

Managing rich content

How to host your website

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

Tradeoff of storage options

Integration with on premises/multi-cloud environment

Working with Cloud Storage Buckets

Working with VM And Storing Results on Cloud Storage

How to use Gsutil tool to manage cloud storage

Host your website

Module 8: Containers

Why containers are used

How to deploy application using Kubernetes

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

Module 9: Cloud Dataflow for Data Processing

Build dataflow pipeline

How to create a maven project with Dataflow SDK

How to create and execute streaming pipeline using Dataflow template

How to create pipeline on Beam

Testing pipeline

Create/Manage/Delete cluster using Dataproc service

How to run a job on cluster

Using APIs to automate jobs

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

Module 10: GCP APIs & Development Services

Best practices for application development

Choosing the appropriate data storage option for application data

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

Implement & Configure Deployment Manager, Cloud Launcher

Deploying Applications Using App Engine

Module 11: GCP DevOps Services

How to create/configure Jenkins service on GCP

Jenkins deployment

Setup CI/CD

Setting up Jenkins on Container engine

Deploy application on Jenkins

Create deployment pipeline in Jenkins

Create and Deploy on cluster

Deploy development and production environment

Analysis & Troubleshooting

Set up a continuous delivery pipeline using Jenkins and deploy an application to Kubernetes.

Module 12: Designing & Implementing GCP Migration

Different critical KPIs, Metrics, Analytics

How to take decision to migrate to GCP

How to choose from different options as per specific need

How to manage scalability

Hybrid model

How to move completely from on-prem to GCP

Collect and Analyze metrics

Evaluate and choose an automation framework for provisioning resources in cloud Design strategy

Create Migration Plan

Move local data to GCP