• 0

Google Cloud Platform Architect Certification (Virtual Instructor-led Training)

> Google Cloud is the one of the largest cloud player in the market 

> Some of the world’s largest companies including Spotify, Snapchat, HSBC, Coca-Cola and Sony Music are now using Google Cloud Platform

> As per Payscale.com the average salary for a Google Cloud Architect is $ 128,418


$ 499 $ 699


Customized to your team's needs
  • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Course Overview

Google Cloud Certification Training course provide trainees with an in-depth understanding of all the GCP Services in Networking , Storage , Databases, Containers, Virtual Machines, Security, App Engine. This course help trainees in preparation for the Professional Cloud Architect - Google Cloud Certification. 

Key Highlights

  • 36 Hours of Online Live Instructor-Led Classes
  • Weekend Class: 12 sessions of 3 hours each
  • Real-life Case Studies
  • Assignments
  • Lifetime Access to Learning Management System (LMS)
  • 24 x 7 Expert Support
  • Certification
  • Forum
  • Industry based Projects
  • No exam Included

What You'll Learn

  • Learning Google Cloud Platform concepts and terminologies
  • Understanding GCP products and services
  • Learning methods to develop, implement, and deploy solutions
  • Learning to distinguish between features of similar or related products and technologies
  • Learning to work with the Compute Engine, Cloud Storage, Cloud SQL and Big Query GCP services
  • Learning to manage GCP environments using three different methods (Console, App, Command-Line) 


    • Delivery Format: Virtual Classroom Live
    • Location: Online
    • Access Period: 6 Weeks
    • Course Date: NOV 28 th
    • Course Time: 11:00 AM to 02:00 PM (EDT)
    • Session: Weekdays
    • Total Class: SAT & SUN (12 Sessions)
    $ 499 $ 699

Career Benefits

  • One of the largest Cloud platforms
  • Growing market
  • Better prospects
  • Lucrative pay packages

Who Can Attend

  • Professionals aspiring for a career in Google cloud platform
  • AWS Solution Architect or Microsoft Azure Architect who wants to gain an understanding of the Google Cloud Platform
  • Professionals working in Google Cloud environment

Exam Formats

No exam included.

Course Delivery

This course is available in the following formats:

  • Virtual Classroom Live Duration: 36 Hrs

Related Courses

Course Syllabus

Google Cloud Platform Introduction

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.


Objective: Upon completing this module, you should be able to understand:

  • 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



  • 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

Managing GCP Services

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.


Objective: Upon completing this module, you should be able to understand:

  • 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


Hands On:

  • Add components to use the Gcloud tool to manage GCP resources

GCP Networking Services

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.


Objective: Upon completing this module, you should be able to understand:

  • 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

GCP IAM and Security Services

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


Objective: Upon completing this module, you should be able to understand:

  • 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


Hands On:

  • Define various roles and policy of GCP environment

GCP Compute Services

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


Objective: Upon completing this module, you should be able to understand:

  • 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


Hands On:

  • Create Custom Machine Types optimized for specific needs
  • Creating VM instance using CLI
  • Working with Virtual Machine – Attaching persistent disk to VM

GCP Storage & Database Services

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


Objective: Upon completing this module, you should be able to understand:

  • 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


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


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


Objective: Upon completing this module, you should be able to understand:

  • 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


Hands On:

  • Creating A Kubernetes Cluster

Cloud Dataflow for 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.


Objective: Upon completing this module, you should be able to understand:

  • 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

GCP APIs & Development Services

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


Objective: Upon completing this module, you should be able to understand:

  • Best practices for application development
  • Choosing 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

GCP DevOps Services

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


Objective: Upon completing this module, you should be able to understand:

  • 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


Hands on:

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

Designing & Implementing GCP Migration

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


Objective: Upon completing this module, you should be able to understand:

  • 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


Hands on:

  • Move local data to GCP

GCP Cloud Architect Exam Case Studies

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


Objective: Upon completing this module, you should be able to understand:

  • Google provided case studies
  • How to solve problems as described in these 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


What if I miss a class?

You will never miss a lecture at Upskill Yourself! You can choose either of the two options:

> View the recorded session of the class available in your LMS.

> You can attend the missed session, in any other live batch.

Can I attend a demo session before enrollment?

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Who are the instructors?

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by usfor providing an awesome learning experience to the participants.

Why learn Google Cloud Platform?

Google Cloud Platform is one of the leaders in the cloud space. Learning Google Cloud Platform can help open up opportunities for your career. It is highly secure and can reduce an organisation time-to-insight with it’s server-less big data analytics solutions. This is why many companies are adopting GCP for their cloud needs.

How to get GCP certified?

Once you have grasped the basic concepts, now is the time to take up our Google Cloud Platform Certification Training to master GCP cloud computing in and out. Our course is in-line with the certification exam requirements offered by Google.  After the course completes and you are done working on the live project, you are now ready to fill the exam form, pick a date and clear the certification!

How to clear the GCP certification exam?

Our GCP Certification Training course is inline with the Google Cloud Certified Exam. With our training, you will be able to build, manage and administer application infrastructure using Google Cloud Platform. Once you are done with the training, you can go ahead and fill the form for the exam online, pick a date to appear for the exam and get Google Cloud certified!