Cloud Architect Masters Program

  • 5 (1,200) LIVE CLASS

As more and more organizations migrate to the cloud, there is an increasing need for solutions architects who know how to strategize, build, and maintain cloud infrastructure. As such, cloud architects are in high demand as companies search for individuals with the right mix of theoretical and practical skills necessary to help them make the move to the cloud.

Cloud Architect Masters Program makes you proficient in designing, planning, and scaling cloud implementation. It includes training in Python, Cloud Computing, AWS Architectural Principles, Migrating Applications on Cloud and DevOps.

What you'll learn

  • Learn the AWS Fundamentals (EC2, ELB, ASG, RDS, ElastiCache, S3)
  • Master all the differences of Databases on AWS
  • Perform Real-World Solution Architecture on AWS
  • Understand the Well Architected Framework, Disaster Recovery
  • Secure your entire AWS Cloud using KMS, IAM Policies & SSM
  • Employ tools for automation, continuous integration (CI) and continuous deployment (CD) including Chef, Puppet, GitHub Actions, Tekton and Travis.
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Program fees

$1299 $2500 Register For This Course

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Avg. salary of a Cloud Engineer/Architect is around $124,300 per annum


This course includes

  • Extensive Program with 10 Courses
  • 200+ Hours Of Interactive Learning
  • Capstone Project: the objective is to build an end to end cloud-based recruitment management system on cloud using Amazon Web Services. The architecture must be designed in such a way that the back-end components are hosted as microservices using Docker and Amazon ECS. All aspects of the application must adhere to the five pillar recommendations of AWS.
  • Job Assistance (we will edit your resume, coach you for interviews and place your resume with hiring managers and recruitment agencies. Receive daily calls to interview for positions without ever applying for jobs)

Companies where our students work


Course Curriculum

  • Introduction to Python
    Overview of Python
    The Companies using Python
    Other applications in which Python is used
    Discuss Python Scripts on UNIX/Windows
    Operands and Expressions
    Conditional Statements
    Command Line Arguments
    Writing to the screen
    Creating “Hello World” code
    Demonstrating Conditional Statements
    Demonstrating Loops
    Sequences & File Operations
    Learn different types of sequence structures, related operations, and their usage. Also learn diverse ways of opening, reading, and writing to files. 

    Python files I/O Functions
    Lists and related operations
    Tuples and related operations
    Strings and related operations
    Sets and related operations
    Dictionaries and related operations

    Tuple - properties, related operations, compared with list
    List - properties, related operations
    Dictionary - properties, related operations
    Set - properties, related operations
    Deep Dive - Functions, OOPs, Modules, Errors and Exceptions
    Learning Objective: In this module, you will learn how to create generic python scripts, how to address errors/exceptions in code, and finally how to extract/filter content using regex. 
    Function Parameters
    Global variables
    Variable scope and Returning Values
    Lambda Functions
    Object Oriented Concepts
    Standard Libraries
    Modules Used in Python (OS, Sys, Date and Time etc.)
    The Import statements
    Module search path
    Package installation ways
    Errors and Exception Handling
    Handling multiple exceptions
    Functions - syntax, arguments, keyword arguments, return values
    Lambda - features, syntax, options, compared with the functions
    Sorting - sequences, dictionaries, limitations of sorting
    Errors and exceptions - types of issues, remediation
    Packages and module - modules, import options, sys path
    Introduction to Numpy & Pandas
    Learning Objective: This Module helps you get familiar with the basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations. 
    NumPy - arrays
    Operations on arrays
    Indexing slicing and iterating
    Reading and writing arrays on files
    Pandas - data structures & index operations
    Reading and Writing data from Excel/CSV formats into Pandas

    NumPy library- Installation, Creating NumPy array, operations performed on NumPy array
    Pandas library- Installation, creating series and dataframes, Importing and exporting data
    Data Visualization
    Learning Objective: In this module, you will learn in detail about data visualization.
    matplotlib library 
    Grids, axes, plots
    Markers, colors, fonts and styling
    Types of plots - bar graphs, pie charts, histograms
    Contour plots

    Matplotlib - Installation, Using Scatterplot, histogram,bar graph, pie chart to show information, Styling of Plot

  • This course will be covering the following topics :

    • What is Cloud Computing?
    • Why Cloud Computing?
    • Characteristics of Cloud Computing
    • Cloud Computing – Technologies
    • Cloud Deployment Model - Public Cloud, Private Cloud, Hybrid Cloud
    • Cloud Service Model - IAAS, PAAS, SAAS
    • Cloud Services – Users
    • Cloud Virtualization
    • Cloud - UseCase

  • Introduction to AWS Security
    Management in AWS
    Amazon EC2
    Object Storage Options
    Load Balancing, Auto-Scaling, and Route 53
    Database Services and Analytics
    Networking and Monitoring Services
    Applications Services and AWS Lambda
    Configuration Management and Automation
    AWS Architectural Designs – I
    AWS Architectural Designs – II
    Migration to AWS  
    AWS Solution Architect Associate Exam Questionnaires (Self-Paced)
    DevOps on Cloud (Additional Content)

  • AWS Cloud Migration certification course online will help you gain expertise and experience in managing cloud migration without any downtimes. AWS Cloud Migration Training will help you become proficient in Migrating Strategies, Migrating Web Applications, Database Migration, Batch Processes, and Backend Processing Pipeline to the AWS Cloud using the best migration practices suggested by the Amazon Web Services.


    Introduction to AWS Services

    AWS Migration Strategy

    Application Migration To AWS Database

    Migration To AWS Data

    Migration To AWS

    Migrating monolithic application to AWS with Docker

  • DevOps Certification Training Course Curriculum
    Overview of DevOps
    Goal: In this module, you will be introduced to the DevOps environment.

    After completing this module, you should be able to:
    Understand the benefits of DevOps over other software development processes
    Gain insights into the DevOps environment
    Get an overview of different DevOps Tools
    Get a picture of the working of the DevOps Delivery Pipeline

    Introduction to DevOps
    Benefits of working in a DevOps environment
    DevOps Lifecycle
    DevOps Stages
    DevOps Delivery Pipeline

    Version Control with Git

    Goal: In this module, you will gain insights into Source Control Management and learn the functionalities of Git.


    After completing this module, you should be able to


    Understand Version Control
    Perform management of files for small as well as large projects
    Perform various Git commands such as git add, git fetch, git commit, git init, etc.
    Work with remote repositories



    Version Control

    Git introduction

    Git Installation
    Commonly used commands in Git
    Working with Remote repository

    Hands On:
    Git Common Commands
    Working with Remote Repository



  • Course Content

    The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating and managing distributed application systems on the AWS platform. Edureka's AWS Certified DevOps Engineer training has been designed to help an individual in developing advanced technical skills on CodeCommit, Codepipeline, CloudFormation, OpsWorks, Beanstalk and many more, needed to successfully attempt the AWS Certified DevOps Engineer – Professional examination. With this AWS professional certification under your belt, you will join an elite club of AWS Certified DevOps Engineer Professionals who are in high demand by employers worldwide.


    Introduction to DevOps on Cloud


    Learning Objectives: In this module, you will be introduced to important aspects of DevOps and Amazon Web Services. Also, you will get to know about the necessary security concepts required to manage your account and data on the AWS platform. 

    Understanding DevOps and its lifecycle
    Why DevOps on Cloud?
    Introduction to AWS
    DevOps using AWS
    Security Management - IAM (Identity and Access Management), WAF (Web Application Firewall), AWS Shield, Guard Duty
    Trusted Advisor
    Governance Strategies

    Creating Policies for a new user to have all Admin Or Limited Privileges
    Login AWS Management Console via MFA
    Trusted Advisor
    Enabling Governance using AWS Config
    Set Alerts and Budget for your AWS Account
    SDLC Automation


    Learning Objectives: In this module, you will learn how to automate Software Development Lifecycle using various AWS development tools. 

    AWS CodeStar
    Automating Infrastructure with CloudFormation
    Learning Objectives:In this module, you will be introduced to important aspects of CloudFormation. Along with it, you will also learn how to use CloudFormation Templates to model and provision the AWS resources in an automated and secure manner for your application. 

    Introduction to CloudFormation
    CloudFormation Template
    Intrinsic Functions & Conditions
    Stack Creation
    Advanced CloudFormation Concepts - CloudFormation Nesting, CloudFormation Wait Conditions & Wait Condition Handlers, CloudFormation Helper Scripts, CloudFormation Custom Resources
    CloudFormation Stack Updates
    CloudFormation Resource Deletion Policy
    CloudFormation Best Practices

    Creating an S3 Bucket using CloudFormation by Hardcoding the Name
    Creating an S3 Bucket using Intrinsic Function (Join And Ref)
    Creating and Configuring EC2 Instance using Helper Scripts
    Creating a Custom Resource with the help of Lambda Function
    Application Deployment Using Elastic Beanstalk
    Learning Objectives: In this module, you will learn various aspects of Elastic Beanstalk. Also, you will learn how to deploy and monitor your application in Beanstalk. 

    Introduction to Elastic Beanstalk
    Components of Beanstalk
    Deployment Option
    Platform Updates
    Docker in Elastic Beanstalk
    Extending Beanstalk using extensions
    Alarms and Notification

    Deploy a Web application with DynamoDB using Beanstalk
    Deploy an application in beanstalk using Docker
    Immutable deployment of the application in Beanstalk
    Creating cron-job on beanstalk instances using .ebextensions
    Configuration Management using OpsWorks
    Learning Objectives:In this module, you will get to know the nitty-gritty of AWS OpsWorks and learn how to create stacks and manage configuration with AWS OpsWorks. 

    Introduction to OpsWorks
    Components of OpsWorks
    Cookbooks, Recipes, Data bags and Berkshelf
    OpsWorks Lifecycle Events
    OpsWorks Deployment
    OpsWorks Auto-Healing

    Deploy an application in OpsWorks Stack
    Integration of CloudFormation with OpsWorks
    Automate Monitoring and Event Management in AWS
    Learning Objectives: In this module, you will understand how to implement the concepts of continuous monitoring and management using CloudWatch and CloudTrail. You will also learn to set-up event-driven automated actions. 

    Introduction to CloudWatch
    CloudWatch Metrics: EC2, ELB, and Auto Scaling metrics
    Custom Metrics
    CloudWatch Alarms
    CloudWatch Agent
    CloudWatch Logs
    Introduction to CloudTrail
    System Manager
    Concepts required to set-up event-driven automated actions - Lambda, SNS, Autoscaling

    Configure Amazon CloudWatch to Notify when CPU Utilization of an Instance is greater than 85%
    Enable CloudTrail and store Logs in S3
    High Availability, Fault Tolerance, and Disaster Recovery
    Learning Objectives: In this module, you will learn how to implement highly available and fault-tolerant systems. Also, you will be introduced to Disaster recovery strategies which are effective in making your system resilient at any point of failure. 

    Elastic IP
    Multi region and multi AZs
    Data Management in Amazon RDS
    Dynamo DB
    Provisioning elasticity using Load Balancer and Auto-Scaling
    Components of Auto Scaling
    Horizontal and vertical scaling
    Auto-Scaling Lifecycle
    Recovery Time Objective and Recovery Point Objective
    Disaster Recovery Options
    Overcome single Point of Failure

    Working of Load Balancer and Auto-Scaling to support highly available and fault tolerant system
    Container Management Tools
    Learning Objective: In this module, you will learn about container management tools like Elastic Container Registry (ECR), Elastic Container Service (ECS) and Fargate. 

    Elastic Container Service
    Amazon ECR
    Select a Launch type for your application
    ECS with EC2
    ECS with Fargate

    Hands On:
    To Push An Image Into ECR
    To host a website inside ECS using Fargate launch type
  • AWS Certified DevOps Exam Discussion (Self-paced)
    Learning Objectives: This module focuses on exam questionnaires along with guidance on preparing for the AWS Certified DevOps Engineer Exam. 

    AWS Certified DevOps Engineer Exam Guide

    Certification Exam Questionnaires

Why take this course?

Most comprehensive curriculum

Cloud Architects Masters Program has been curated after thorough research and recommendations from industry experts. It will help you differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms

Real world use cases

You will develop a Continuous deployment pipeline to deploy the code changes as they are committed to the codebase. The codebase has to be tested thoroughly for any regression/missing features before deployment. The pipeline should be built in a way that ensures lower maintenance efforts and maximum re-usability.

Convenient learning

We understand that you are busy with other important commitments. Most of our students have full-time jobs. You can study on weekdays or weekends, morning or evening, there are options for different schedules

Life-time access

You'll have the keys to all our presentations, quizzes, and installation guides. All for a lifetime!

Register now for our Cloud Architect Masters Program developed and delivered in partnership with Edureka.

**Limited seats per batch**

Next Batch: August 27th, 2022

Program fees
$1299 $2500 Register For This Course

After you register for this course, a member of staff will get in touch with you to discuss your experience and career prospect.

Talk to a Career Consultant

    Frequently asked questions

    On completing this Cloud Architect Masters program, you’ll be eligible for the roles like: Cloud Architect - Enterprise Solutions Architect - Devops Cloud Architect - Infrastructure Architect - Cloud Engineer

    Yes, we do. We have specialist job coaches that will guide you after completing this program.  You will get interview requests landing in your email from companies looking to employ your skills. We work with premium head hunting agencies and their premium end clients looking to hire top talents. 

    Our Cloud Architect Course Learning track has been curated after thorough research and recommendations from industry experts. It will help you differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms

    There are no prerequisites for enrollment to the Cloud Computing Course Masters Program. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of cloud computing, This Masters's Program is designed and developed to accommodate a multitude of professional backgrounds and allow its learners to have a successful journey in the IT industry.