Price 40,000.00 GST

Course Features
Language: English
20 hours
Study Level: Intermediate
Certificate of Completion

Course Curriculum: Your 12 Module Learning Plan

Google Cloud Certification Training – Cloud Architect

About Us

We are leading e-learning platform providing live instructor-led interactive online training. We cater to professionals and students across the globe in categories like Big Data & Hadoop, Business Analytics, NoSQL Databases, Java & Mobile Technologies, System Engineering, Project Management and Programming.

We have an easy and affordable learning solution that is accessible to millions of learners. With our students spread across countries like the US, India, UK, Canada, Singapore, Australia, Middle East, Brazil and many others, we have built a community of over 1 million learners across the globe.

About the Course Google Cloud Certification Training course introduces the basic concept, terminology and hands on of the Google cloud platform. You will understand the GCP core infrastructure, value of GCP, Services and Management – Compute services, Database services, IAM and Security services, Networking services, Big data services- BigQuery, Dataflow, and Pub/Sub. This course will also cover how to use command line tools to import data into cloud storage and run query for data analysis, how to use application deployment environment – Google App Engine, Google Kubernetes Engine, Google Compute Engine.

The Course will also cover specific case studies and use cases from GCP Architecture perspective and sample question and answers which will be useful for appearing in GCP Architect exam.

Module 1

Introduction to Google Cloud Platform

Goal: In this module, you will learn about Google’s Global Infrastructure. You will also learn about Regions, Zones and Projects that make up the GCP environment.

Objectives: Upon completing this module, you will be able to:

Understand Cloud computing Understand different cloud computing services Understand GCP environment Understand Compute, Storage, BigData and AI

resources which GCP offers Understand Google Network Service Offerings Setup GCP account


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

Hands on:

Setup GCP account

Module 2

Managing GCP

Goal: In this module, you will learn how to manage GCP using console and Command Line tool – Cloud Shell, Gcloud, Gsutil. Also you will learn how to install and configure Cloud SDK.

Objectives: Upon completing this module, you will be able to:

Manage GCP using GCP console Utilize Cloud Shell to manage GCP environment Utilize GCloud tool to manage GCP environment Utilize 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

Hands on:

Deploy a VM on to a Virtual Network Configure Virtual Networks Modify Network Configuration Design and Implement a Multi-site or Hybrid

Module 3


Goal: In this module, you will learn about GCP networking concept and how to setup network topology, how to connect different GCP resources with each other and isolating them using network policies and firewall.

Objectives: At the end of this module, you will be able to:

Setup VPC Create/Manage VPN Setup 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

Hands on:

Create virtual private network with multiple subnets

and apply firewall rules

Module 4

Cloud IAM & Security

Goal: In this module, you will learn Identity and Access management and the several management tools that GCP offers.

Objectives: At the end of this module, you will be able to:

Setup Security for GCP Understand Identity and Access Management Understand IAM Role – Primitive, Predefined, Custom Understand IAM Policy and Policy Hierarchy Learn the best practices for IAM role, policy and

service account Create and manage permissions for Google Cloud

Understand Identity and Access Management (IAM) Understanding Organizations, Roles, Members, Service

accounts, Policy 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

Platform resources

Hands on:

Define various roles and policy of GCP environment

Module 5

Virtual Machines and Compute

Goal: In this module, you will learn how to create/manage Virtual machines and work with Compute engine.

Objectives: At the end of this module, you will be able to:

Create Virtual Machine and VM instances Work 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

Hands on:

Create Custom Machine Types optimized for specific

needs Creating VM instance using CLI Working with Virtual Machine – Attaching persistent

disk to VM

Module 6

Data Storage Services

Goal: In this module, you will learn different data storage services offered by GCP.

Objectives: At the end of this module, you will be able to:

Store data Retrieve data Archive cold data Manage rich content 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

Hands on:

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 7


Goal: In this module, you will learn how to Deploy, manage, and scale containerized applications on Kubernetes.

Objectives: At the end of this module, you will be able to:

Understand why containers are used 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

Hands on:

Creating A Kubernetes Cluster

Module 8

Data flow and Data Processing

Goal: In this module, you will learn how to develop and execute a variety of data processing patterns using Dataflow processing and how to manage cluster using Dataproc service.

Objectives: At the end of this module, you will be able to:

Build dataflow pipeline Create a maven project with Dataflow SDK Create and execute streaming pipeline using Dataflow

template Create pipeline on Beam Test pipeline Create/Manage/Delete cluster using Dataproc service Understand how to run a job on cluster Use 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 9

Google Cloud Platform APIs & Development Services

Goal: In this module, you will learn how to use GCP for application development, deployment, debugging and monitoring.

Objectives: At the end of this module, you will be able to:

Use best practices for application development Choose the appropriate data storage option for

application data Debug, trace, and monitor applications


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

Hands on:

Implement & Configure Deployment Manager, Cloud

Launcher Deploying Applications Using App Engine

Module 10

GCP DevOps Services

Goal: In this module, you will learn how to use GCP DevOps service for CI/CD using Jenkin and how to do debugging using Stackdriver in DevOps environment.

Objectives: At the end of this module, you will be able to:

Create/Configuring Jenkin service on GCP Deploy Jenkins


Setup CI/CD Setting up Jenkin on Container engine Deploy application on Jenkin Create deployment pipeline in Jenkins Create and Deploy on cluster Deploy development and production environment Analysis & Troubleshooting

Hands on:

Set up a continuous delivery pipeline using Jenkins

and deploy an application to Kubernetes

Module 11

Designing migration to GCP

Goal: In this module, you will learn how to check different metrics and take decision to migrate to GCP.

Objectives: At the end of this module, you will be able to:

Understand different critical KPIs, Metrics, Analytics Take decisions to migrate to GCP Choose from different options as per specific need 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

Hands on:

Move local data to GCP

Module 12

GCP Architect Exam Case Study Understanding

Goal: In this module, you will learn the official case studies provided by Google for GCP Architect exam, and practice on these case studies with sample exam problem statements.

Objectives: At the end of this module, you will be able to:

Understand Google provided case studies Solve problems as described in those case studies


Understand JencoMart case study Understand Mountkirk Games case study Understand Dress4Win case study Understand TerramEarth case study

Hands on:

Solve Sample Problem Statements Based On these

Case Studies


Domain – IT Industry Problem Statement – Alex is an application architect working at He is running this application in one of the data centers. Off late he is having a lot of issues with respect to hardware cost as he had to do a multitude of replacements, and he has also observed under-utilization of resources. He also had problems in handling high loads on certain days of the month. Hence, as a solution Alex wants to implement GCP to deploy his application so that he can reduce the cost, scale automatically, bring more availability for his applications. He also wants to configure his application such that he can it be available on Disaster situation and recover automatically from a server/service crash.

In addition, he wants to make his deployment and upgrades automatic. Finally, he needs to monitor the resource usage, receive alerts and generate reports on resource consumption.

What are the system requirements for this course? You just need a system with good internet connectivity.

How will I execute the Practicals? For all the labs, you will create and use GCP’s free tier account as part of the first Module of this Google Cloud Certification Training course.

Google Cloud Certification Training – Cloud Architect


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