Google Professional Cloud Architect Certification Training



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Cloud Computing & DevOps

Course Curriculum

Learning Objective: This module of the Google cloud platform certification covers details about Google’s Global Infrastructure. It teaches about regions, zones, and projects in the GCP infrastructure. 

Topics covered:

  • Google Cloud Platform (GCP) Infrastructure

  • Compute resources

  • Networking Services

  • Storage and Database offering

  • Big data and AI services

  • Basics of GCP Project

  • Introduction to Primitive role

Learning Objective: This module teaches learners how to manage GCP using the console and command-line tools such as Cloud Shell, Gcloud, Gsutill. 

Topics covered:

  • Managing the GCP environment with the GCP console

  • Control GCP environment using CLI

  • GCP environment management using Cloud Shell

  • GCP environment management using G-cloud

  • GCP environment management using Gsutil

  • Install and configure cloud SDK

Learning Objective: This section covers the GCP networking concept and setting up a network topology. 

Topics covered:

  • 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

Learning Objective: This module teaches about Identity and Access Management using several tools offered by the Google Cloud Platform. 

Topics covered:

  • 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

Learning Objective: This module educates individuals about how to create and manage virtual machines. 

Topics covered:

  • Understand Compute Engine

  • Understand & implement Compute options such as vCPU and Memory in verse to workload

  • Persistent disk – HDD, SSD

  • Load Balancing

  • Common Compute Engine actions

Learning Objective: This section teaches you about the different data storage services offered by the Google Cloud Platform. 

Topics covered:

  • Understand Cloud Storage – Nearline, Coldline

  • Cloud SQL

  • Cloud Spanner, Cloud Datastore

  • Cloud Bigtable

  • How to choose a storage option including its Pros and cons 

  • Understanding Billing aspect of storage options

  • The tradeoff of storage options

  • Integration with on-premises/multi-cloud environment

Learning Objective: In this section, you will learn the deployment, management, and scaling procedures of containerized applications on Kubernetes. 

Topics covered:

  • Understand Containers and their benefits

  • Kubernetes Engine, Container Registry

  • How to use Kubernetes Load Balancing

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

Learning Objective: In this section, you will learn how to develop and execute different data processing patterns of Data flow and also study cluster management. 

Topics covered:

  • 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

Learning Objective: In this module, you learn how to employ Google Cloud Platform for the development, deployment, debugging, and monitoring of applications. 

Topics covered:

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

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

  • App Engine

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

Learning Objective: This module details how to use the GCP DevOps service for CI/CD using Jenkins. It also includes a section entailing how to debug using Stakcdriver in a DevOps environment. 

Topics covered:

  • 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

Learning Objective: In this section, you will learn about different metrics about data migration to GCP. 

Topics covered:

  • Collect & Analyze metrics

  • Choose & evaluate an automation framework for addressing resources in the Google Cloud

  • Design strategy

  • Create a Migration Plan

Learning Objective: This section details case studies provided by Google for the GCP Architect exam and includes sample statements as well. 

Topics covered:

  • Understand JencoMart case study

  • Understand Mountkirk Games case study

  • Understand Dress4Win case study

  • Understand TerramEarth case study

Course Description

This Google cloud platform certification covers topics that are strictly in line with the original exam conducted by Google. The course starts with the basics of cloud computing and includes topics like GCP core infrastructure, how to manage GCP services such as GCP security services, GCP networking services, GCP IAM, GCP compute services, GCP database services, etc. It helps learners cover how to use the command tools, import data into Google cloud storage, and execute queries for data analysis. A Google certified professional cloud architect will teach you everything you need to know about the exam and helps you practice the same as well. Also, post completion of the course, you will be more experienced and learned, joining the league of other Google Certified Cloud Architects. 

Google Cloud certification training is one of the most prestigious certifications provided to individuals who want to scalpel a career in Google Cloud Platform, ranked as the world’s third-largest and most popular cloud provider. Google Cloud Platform is highly renowned since the trillion-dollar search engine, Google, and largest video platform, YouTube, are hosted on it. This means that applications hosted on Google Cloud Platform will share the same speed and scalable infrastructure used by Google products. 

After opting for this certification to become a Google certified professional cloud architect, learners will be able to:

  • Comprehend Google Cloud Platform ideas and phrasings 

  • Comprehend GCP items and administrations 

  • Learn strategies to create, execute, and send arrangements 

  • Recognize highlights of comparative or related items and innovations 

  • Figure out how to function with the Compute Engine, Cloud Storage, Cloud SQL, and Big Query GCP administrations 

  • Oversee GCP conditions utilizing three distinct strategies (Console, App, Command-Line) 

  • Create information on arrangement designs - strategies, advances, and plans that are utilized to actualize security, adaptability, high accessibility, and other wanted characteristics 

  • Comprehend rudiments of Big Data and Machine Learning administrations of GCP

CertOcean’s Google Cloud Platform certification is specially designed by IT professionals who want to pursue a career in Cloud Computing and become a Google Cloud Platform Architect Expert. This course is a must for:

  • Experts who need to begin their profession in the Google cloud stage 

  • Experts who need to show up for Google Cloud Certification test – Cloud Architect 

  • AWS Solution Architect or Microsoft Azure Architect who needs to comprehend Google Cloud Platform 

  • People utilizing Google Cloud Platform to make new arrangements or to incorporate existing frameworks, move application conditions and foundation with the Google Cloud Platform

Google Cloud certification training has no specific requirements, but any problem who possesses a basic understanding of IT service management can opt for this course. Also, people who do have a sound understanding of programming knowledge and Cloud computing can take up this course. 
You need a system with good internet connectivity.

For all the projects, you can use the lab environment created for the Google Cloud certification training.


Frequently Asked Questions (FAQs):

Candidates will never miss lectures in CERTOCEAN's Google Cloud Platform certification as they have the option to either view the recorded session or to attend the next live batch.

Our team is with each student 24/7. They need not worry about anything. Just ask your queries about one of the Google cloud certification training and we will make sure that it gets solved as soon as possible. 

We hope that till now you have seen any of our study clips. And we think that's all because you need not look further as we are good at keeping promises. We promise to enhance your growth in the automation field to receive a Google Cloud Platform certification

Only instructors who are expert in the domain and possess more than 10 years of experience are selected to teach after a stringent and tedious process. After shortlisting, all the instructors undergo a 3 months long training program.
Most of the CertOcean’s learners have reported a hike in their salary and position post the completion of the Google cloud certification training. This training is well-recognized in the IT industry and indulges in both practical and theoretical learning.

We provide support to all the learners even if they have completed their course training way before. Once you have registered with us, we will take care of all your educational needs and demands, resolving all your functional and technical queries. 

CertOcean's Google cloud certification training will assist you throughout the course and help you master the concepts and practical implementation of technology for the course duration. 


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