+91 7397328021                           support@deepneuron.in


Key Features



About The Program

The Cloud Architect Certification program is designed to make you an expert in cloud applications and architecture. It will enable you to master the core skillsets required for designing and deploying dynamically scalable, highly available, fault-tolerant, and reliable applications on three of the top Cloud platform providers — Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform. The program will give you an in-depth understanding of cloud services such as AWS Cloud formation, Azure resource manager, EC2, S3, Route53, VPC, Azure App Services, GCP and more. You’ll acquire the knowledge and skills for passing cloud architect certifications such as AWS Architect and Azure Architect. This program consists of a structured learning path designed by leading industry experts. You will have access to 60+ live instructor-led online classrooms, 100+ hours of self-paced video content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your desired role of Cloud Architect. The course includes 16+ real-world industry projects that let you work your way through the technical challenges associated with cloud computing.

With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest paid professionals in the IT industry.
According to a study by Goldman Sachs, cloud computing is one of the top three initiatives planned by IT executives as they make cloud infrastructure an integral part of their organizations. According to Forbes, enterprise IT architects with cloud computing expertise are earning a median salary of $137,957.

This Cloud Architect Certification program includes real-world, industry-based projects on different domains to help you master the concepts of cloud architecture. Sample projects include:
Project 1: Setting up WordPress blog for your organization using defined specifications with Amazon Cloudformation, AMI and Auto scaling
Scenario: You have been asked to set up a WordPress blog for your company to meet their defined specifications. During business hours (9 a.m.-6 p.m.), the blogging team would like to use their own development copy of the WordPress instance so that any changes don’t impact the live copy.
Goals of the project: Use CloudFormation to create an EC2 instance to run WordPress with the following specification:
  • Instance Type: T2.micro
  • Create a new AMI of the WordPress instance
  • Configure Auto Scaling to launch a new WordPress instance
Project 2:  Linux instance for testing new applications using EC2
Scenario: Your development team needs you to create a small Linux instance for testing a new application. You must create the EC2 instance per defined specifications. A few days later, the development team informs you that they want to move the instance into production, so they want you to change the specifications of the instance.
Goals of the project: Create an EC2 instance with the following specifications:
  • AMI: Amazon Linux
  • Instance Type: T2.nano
  • Volume Type: 8GB Magnetic
Reconfigure the instance to achieve the following specification:
  • Instance Type: Scale to a T2.small
  • Volume Type: Increase to 12GB General Purpose SSD
  • Verify whether the root volume on the EC2 instance is displaying the correct size.

Project 3: Content Distribution using S3, Cloudfront, Geo restriction and logging
Scenario: Your company wants to distribute content in the form of a website to their global offices. However, due to legal restrictions, you cannot distribute the content in France and Australia. You must find a way to prevent these offices from accessing the data. The content does not change very often; however, some of the files are very large, and you must find a solution to minimize end user latency. The last requirement is that the audit department wants to track those who access the website.
Goals of the project:
  • Set up a static website using Amazon S3.
  • Create a bucket and enable static website hosting.
  • Enable logging.
  • Set up a CloudFront distribution for the static website with Access Logs enabled.
  • Set up Geo Restrictions to prevent users in France and Australia from accessing the data.
  • Verify that logging is working.

Project 4: Hosting Web Applications and Performance Monitoring

Scenario: The OsCrop Corporation wants to build a highly available web application. As it lacks the team to manage the environment, it is exploring the option of Azure PaaS (Web Apps) for its web hosting. The user pattern for this application is sporadic in nature; it can expect a spike in traffic at any moment. OsCrop’s management is looking to utilize Azure Auto Scaling capabilities.

OsCrop’s management is also looking to have a proper monitoring mechanism to keep an eye on the details of application performance. To achieve this, the team has been tasked to integrate application insights as well.

Goals of the Project: 

  • Create Azure Web Apps in US East regions
  • Enable Autoscaling for web apps
  • Deploy sample application from Visual Studio with application insights enabled
  • Set monitoring on Azure application insight


Project 5: Provision Dev Environment & Secure Azure Web Applications

Scenario:  The Oscrop Corporation’s management is looking to use Azure as their development platform for the new.Net MVC application they are building. They have identified Visual Studio 2017 as their development framework. They are looking to test Azure Virtual machine to host the development editor. You have been given the task of validating the Community edition of Visual Studio 2017 on Azure VM. As Oscrop’s development team is in Eastern US, they are exploring this as the region for this deployment.

The operations team at Oscrop is looking to offload the application's authentication to Azure AD. Any user who is part of an Active directory should be allowed to log in to the application. They want you to validate this using a sample MVC application.

Goals of the Project:

  • Create a Virtual Network and Resource Container
  • Create the Development Virtual machine
  • Configure the Virtual machine for development
  • Create Azure AD for application authentication

Project 6:  Create two Amazon S3 Buckets

Scenario: Create two Amazon S3 Buckets in Mumbai region. Bucket Names will be “testoct28” and “testoct28log”. After creating both the buckets, upload any sample file to the bucket “testoct28”. Then enable Logging in for the bucket “testoct28”. Ensure that log is saved in the bucket name “testoct28log”; also enable the versioning in the bucket “testoct28”. Then Enable the Transfer Acceleration in the Bucket “testoct28”.

Goals of the Project:

  • Create an Amazon S3 Bucket Name "testoct28" in Mumbai Region
  • Create an Amazon S3 Bucket Name "testoct28log" in Mumbai Region
  • Upload sample file to testoct28 bucket
  • Enable Logging in for bucket "testoct28"
  • The log should be saved in bucket "testoct28log"
  • Enable Versioning in the bucket "testoct28"
  • Enable Transfer Acceleration in bucket "testoct28"

Programming Languages,Tools & Packages

smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile  smile 

Cloud Architect Course Modules

Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet.

  • What is the Google Cloud Platform?
  • History of Google Cloud.
  • Misconceptions, Opportunities, Trends, and Demand & Future of Google Cloud.
  • Google Cloud and its trends with demand in the market.
  • All tools, services, modules overview & high-level discussion.
  • Tools end-to-end work-flow & integrations.
  • Roles and responsibilities in real-time and Its goals.
  • What are the goals of this resource in real-time?
  • Who can learn about Google Cloud Platform?
  • Prerequisites to learn Google Cloud Platform.
  • Importance of Google Cloud in the software development life cycle (SDLC).

Concepts & practicals

  • Google Cloud Platform (GCP) Infrastructure Preview.
  • Introduction to Compute resources
  • Introduction to Networking Services
  • Introduction to Storage and Database offering
  • Introduction to Bigdata and AI services
  • List the different ways of interacting with GCP.
  • Basics of GCP Project
  • Use the GCP Console and Cloud Shell.
  • Create Cloud Storage buckets.
  • Use the GCP Marketplace to deploy solutions.
  • Managing GCP environment with GCP console
  • Control GCP environment using CLI
  • GCP environment management using Cloud Shell

Job oriented: Hands-On preparation

  • Console and Cloud Shell.
  • GCP Infrastructure Preview.
  • Install and configure cloud SDK.

Concepts & practicals

  • List the VPC objects in GCP.
  • Differentiate between the different types of VPC networks.
  • Implement VPC networks and firewall rules.
  • Design a maintenance server\bastion host.
  • Network/Sub-network.
  • DNS Resolution.
  • DHCP.
  • Firewalls and Routes.
  • Network Topology.
Job oriented: Hands-On preparation
  • Create a custom network with multiple sub nets and apply firewall rules
  • Create an auto network.
  • Test connectivity within the network and outside the network using virtual machines.
Concepts & practicals
  • Recall the CPU and memory options for virtual machines.
  • Describe the disk options for virtual machines.
  • Explain VM pricing and discounts.
  • Use Compute Engine to create and customize VM instances.
  • Persistent disk – HDD, SSD and Local SSD
  • Snapshots and Images.
Hands-On preparation
  • Create Custom Machine Types optimized for specific needs.
  • Creating VM instance using CLI.
  • Working with Virtual Machine – Attaching persistent disk to VM.
  • Creating snapshots and images from existing disks.
Concepts & practicals
  • Describe the Cloud IAM resource hierarchy.
  • Explain the different types of IAM roles.
  • Recall the different types of IAM members.
  • G-Suite and Cloud Identity.
  • Organization setup and G-Suite.
  • Implement access control for resources using Cloud IAM.
  • 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.
Job oriented: Hands-On preparation

  • Create and implement service accounts.
  • Setup cloud identity and GCP Organizational account.

Concepts & practicals
  • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.
  • Choose a data storage service based on your requirements.
  • Implement data storage services.
Job oriented: Hands-On preparation
  • Working with Cloud Storage Buckets.
  • Working with Cloud Shell And Storing Results on Cloud Storage.
  • How to use Gsutil tool to manage cloud storage.
  • Setup Cloud SQL High Availability Instance and read replicas.
  • Getting started with Cloud Spanner.
  • Getting started with DataStore.
  • Getting started with Bigtable.
  • Getting started with Memorystore.
  • Getting started with Filestore.
Concepts & practicals
  • Describe the cloud resource manager hierarchy.
  • Recognize how quotas protect GCP customers.
  • Use labels to organize resources.
  • Explain the behavior of budget alerts in GCP.

Job oriented: Hands-On preparation

  • Examining Billing Data with BigQuery.

Concepts & practicals
  • Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging.
  • Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring.
  • Use Stackdriver Debugger to identify and fix errors.
Job oriented: Hands-On preparation

  • Resource Monitoring using stackdriver.
  • Create Health Checks.
  • Create Dashboards.
  • Create Groups.
  • Review metrics.
  • Create alerts
  • Install and configure monitoring and logging agent.
  • Error Reporting, Tracing and Debugging using an App Engine application.
  • Logging
  • Review logs in batch and real-time mode.
  • Audit logs
  • Creating log metrics.
  • Queries on logs.
  • Installation of the logging agent.

Concepts & practicals

  • Recall the GCP interconnect and peering services available to connect your infrastructure to GCP.
  • Determine which GCP interconnect or peering service to use in specific circumstances.
  • Create and configure VPN gateways.
  • Recall when to use Shared VPC and when to use VPC Network Peering.
Job oriented: H
  • Setup a VPN Connection.
  • Using static routing mode.
  • Using dynamic routing mode (BGP).
  • Setup VPC Peering.

  • Recall the various load balancing services.
  • Determine which GCP load balancer to use in specific circumstances.
  • Describe auto scaling behavior.
  • Configure load balancer and auto-scaling.
  • Automate the deployment of GCP services using Deployment Manager or Terraform.
  • Outline the GCP Marketplace.
  • Deployment Manager
  • Describe the managed services for data processing in GCP.
  • Dataflow services.
  • Data Ingestion using Pub\Sub.
  • Stream and Batch processing.
  • Working with Dataproc.
  • Getting started with DataPrep.
  • Getting started with Datalab for data visualization.
  • Getting started with Data Studio for reporting needs.

  • Describe the managed services for data processing in GCP.
  • Dataflow services.
  • Data Ingestion using Pub\Sub.
  • Stream and Batch processing.
  • Working with Dataproc.
  • Getting started with DataPrep.
  • Getting started with Datalab for data visualization.
  • Getting started with Data Studio for reporting needs.
  • Overview of App Engine as an application development service.
  • Source Code Repositories.
  • Cloud Endpoints.


Earn your Cloud certificate

Our Cloud program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Cloud Certificate

The knowledge and Cloud skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Data Scientist

DeepNeuron Testimonials


  • What is the objective of our Google Cloud course?

    The objective of the Google Cloud Certification is to provide extensive coverage on the design and deployment of cloud computing services for applications with special references to Google Cloud courses. With DeepNeuron online course, we ensure hands-on practical experience in creating cloud services for Google Cloud which will help you to master Google Cloud Platform with confidence.

  • Why and who should go for the Google Cloud Course?

    Cloud Certification is one of the top-notch technologies in cloud web services. In this modern competitive market, every small and big organization is moving into this cloud business for application and software development. Absolute beginners and experienced individuals who want to explore cloud computing services can opt for Google Cloud learning. Even software developers who want to switch their careers as Cloud engineers, Cloud architects can gear up for certified Google Cloud training from DeepNeuron.

  • Who is my trainer and what is his selection process?

    Our subject matter experts (SMEs) are experienced with industry expertise in their preferred domain and technologies. Our selection process is intriguing in reference to the course modules where we seek professional experts who have ideas and worked in the same technology for creating and deployment of applications in real-time. Professional experts SMEs will guide you through the entire module and will also make you get exposed to practice-based learning.

  • Does Deepneuron offer job assistance?

    Deepneuron actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

  • Is it possible to switch from self-paced training to instructor-led training?

    You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

  • Does the job assistance program guarantee me a Job?

    Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Python for Data Science

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.


    Course completion certificate

    Data Science and Statistics Fundamentals Required 85% of Online Self-paced completion
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with SAS Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in course-end assessment and successful evaluation in at least 1 project
    Machine Learning and Tableau Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
    Big Data Hadoop and Spark Developer Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation of at least 1 project
    Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • How do I enroll for the Data Scientist course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online Data Science courses. Who can help me?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support. portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

Image Cards slider

People interested in this course also viewed

Card image cap
PGP in Data Science

Learn Mathematics, Statistics, Python, R, SAS , Advanced Statistics..

Duration 6 months

No. of Lectures320

No. of Courses12

1781 Learners
761 Ratings
Card image cap
PGP in Cloud and Aws DevOps

Learn Ansible, Jenkins, Git, Maven, Puppet, JUnit, Salt Stack & Apache..

Duration 6 months

No. of Lectures120

No. of Courses18

1462 Learners
863 Ratings
Card image cap
PGP in Digital Marketing

Learn SEO, SEM, Google Analytics, social media, content marketing..

Duration 6 months

No. of Lectures280

No. of Courses23

2475 Learners
956 Ratings
Card image cap
PGP in Aws DevOps Course

Learn Maven, Nagios, Cvs, Puppet, JUnit, Salt Stack & Apache Camel

Duration 6 months

No. of Lectures120

No. of Courses19

1654 Learners
859 Ratings
Card image cap
Big Data Master Program

Learn Hive, Pig, Sqoop,Scala and Spark SQL, ML using Spark..

Duration 4 months

No. of Lectures121

No. of Courses17

1896 Learners
865 Ratings
Card image cap
Kubernets Master Program

Learn Linux, shell commands and kubernetes (CKA) exam and validate..

Duration 4 months

No. of Lectures135

No. of Courses16

1758 Learners
839 Ratings

Deepneuron.in 2018-2021. Powered by Deepneuron.in