Cloud Computing and DevOps
(Course + Certification)

This program combines comprehensive training in cloud architecture and DevOps engineering with certification preparation for AWS and Microsoft Azure. Gain practical skills and industry-recognized credentials to excel in designing, deploying, and managing scalable cloud solutions.

Duration

12 Weeks

Start Date

May 3rd, 2025

Requirement

Laptop

Assessment

Project and Mock Exam

Mode

Online

Price

200,000

About Course

Our Cloud computing and DevOps program offers a comprehensive combination of foundational training and certification preparation. It equips participants with the expertise to design and manage scalable cloud infrastructures while preparing for globally recognized certifications in AWS and Azure. Whether you’re a beginner or an experienced professional, this program ensures you’re ready to excel in cloud computing and DevOps roles.

Prerequisites
  •  Course:
    • Basic knowledge of cloud computing principles.
    • Familiarity with operating systems (Linux preferred) and command-line tools.
  • AWS Certification:
    • Six months of hands-on experience with AWS Cloud recomended.
    • Familiarity with IT services, security, and AWS pricing models.
  • Microsoft Azure Certification:
    • General understanding of IT concepts and cloud computing.
    • No prior experience required but familiarity with Azure is beneficial.
What You Will Learn
  • Learn the core principles, architectures, and service models of cloud computing.
  • Gain expertise in setting up virtual machines, storage, and networks using Azure and AWS.
  • Master CI/CD pipelines, Infrastructure as Code (IaC), and container orchestration in DevOps practices.
  • Understand best practices for cloud security, monitoring, and cost management.
  • Receive comprehensive training to prepare for AWS Cloud Practitioner and Azure Fundamentals exams.
Who is it Suitable for?
  • Aspiring cloud professionals
  • Cloud solutions architects
  • DevOps engineers
  • System administrators
  • IT managers
  • Software developers
  • Experienced IT professionals
  • Individuals with prior experience in IT and cloud technologies
  • Those looking to specialize in cloud solutions architecture or DevOps engineering
  • Professionals aiming to earn certifications in cloud and DevOps
Course Outline

Week 1: Cloud Foundations & Linux Basics

  • Intro to cloud computing: history, key concepts, and service models (IaaS, PaaS, SaaS)
  • Overview of major providers: AWS, Azure, Google Cloud
  • Linux essentials: file system, users, permissions, and basic commands
  • Accessing Linux servers via SSH, terminal commands, and package management
  • Lab: Navigate a cloud console and execute basic Linux commands

Week 2: Cloud Infrastructure, Compute & Storage

  • AWS compute services: EC2, Auto Scaling, Load Balancers, and Lambda
  • Azure compute: Virtual Machines and introductory Azure Functions
  • Storage options: AWS S3, EBS, EFS, and Azure Blob Storage
  • Focus on deploying and managing virtual resources across platforms
  • Lab: Deploy and manage VMs and storage on AWS and Azure

Week 3: Cloud Networking, Security & Identity

  • Core networking: AWS VPC and Azure Virtual Network fundamentals
  • Key components: subnets, route tables, gateways, and firewalls
  • Advanced options: AWS Outposts, CloudFront, and Points of Presence (POP)
  • Security fundamentals: Shared Responsibility Model, IAM with MFA, AWS KMS, and Azure Key Vault
  • Lab: Configure networking components and set up IAM policies

Week 4: Cloud Pricing, Monitoring & Advanced Services

  • Cloud pricing models: AWS Free Tier, Azure Cost Management, budgeting, and cost optimization
  • Monitoring tools: AWS CloudWatch and Azure Monitor for performance tracking
  • Advanced services: managed databases (RDS, DynamoDB, Azure SQL) and serverless architectures
  • Database migration insights: AWS Database Migration Service and migration strategies; overview of global infrastructure
  • Lab: Create monitoring dashboards and explore migration tool

Week 5: DevOps Fundamentals, CI/CD & IaC

  • Overview of DevOps culture, principles, and the SDLC
  • Version control basics using Git and GitHub
  • Introduction to CI/CD concepts for automated delivery
  • Basics of Infrastructure as Code with Terraform, AWS CloudFormation, and ARM
  • Lab: Set up a basic CI/CD pipeline and deploy an IaC script

Week 6: Advanced CI/CD, Testing & Automation

  • Deep dive into CI/CD tools: Jenkins, GitHub Actions, and Azure DevOps
  • Automation of build, test, and deployment pipelines
  • Integration of security and testing practices
  • Focus on continuous integration and reliable software releases
  • Lab: Implement and test a complete CI/CD pipeline

Week 7: Containerization & Orchestration

  • Introduction to Docker for building and managing container images
  • Fundamentals of Kubernetes: pods, nodes, and clusters
  • Managed Kubernetes services: AWS EKS and Azure AKS
  • Emphasis on scalable, container-based deployments
  • Lab: Containerize an application and deploy it on a Kubernetes cluster

Week 8: Advanced DevOps, Security, Monitoring & Final Project

  • Introduction to configuration management with Ansible
  • Advanced cloud security best practices and compliance standards
  • Monitoring and logging with Prometheus, Grafana, AWS CloudWatch, and Azure Monitor
  • Integration of CI/CD, IaC, containerization, security, and monitoring into a unified project
  • Lab/Project: Design and deploy a cloud-native application integrating all course components

Option 1: AWS Certified Cloud Practitioner (Week 9–12)

Week 9: AWS Core Concepts & Security Refinement

  • Review of cloud principles and AWS global infrastructure
  • Deepen understanding of AWS security: Shared Responsibility, IAM best practices
  • Practice: Scenario-based quizzes linking fundamentals to exam questions

Week 10: AWS Services Deep Dive & Deployment Scenarios

  • Focused review of compute (EC2, Lambda), storage (S3, EBS), and networking (VPC, Route 53)
  • Deployment strategies for AWS applications
  • Practice: Case studies and hands-on labs simulating exam scenarios

Week 11: AWS Cost Management & Practice Scenarios

  • Review pricing models: On-Demand, Reserved, Spot Instances; cost management tools
  • Practice exam questions on cost optimization and billing scenarios
  • Practice: Timed mock exams; review and address knowledge gaps

Week 12: Final Exam Preparation & Strategy

  • Concise, comprehensive review of all AWS domains
  • Exam strategies: Time management, question analysis, exam-day tips
  • Practice: Full-length exam simulation and targeted review sessions

Option 2: Microsoft Azure Fundamentals (AZ-900) (Week 9–12)

Week 9: Azure Core Concepts & Security Review

  • Review of cloud fundamentals with emphasis on Azure’s global infrastructure
  • Deep dive into Azure Security Center, Defender, and RBAC
  • Practice: Scenario-based quizzes linking core concepts to exam questions

Week 10: Azure Services & Pricing

  • Focused review of Azure compute (Virtual Machines, App Services, Functions), storage (Blob, Disk, File), and networking (Virtual Network, Load Balancer, VPN Gateway)
  • Overview of Azure pricing models, SLAs, and cost management strategies
  • Practice: Case studies and labs simulating service selection and cost-optimization scenarios

Week 11: Practice Scenarios & Mock Exam Sessions

  • Work through real-world Azure implementation scenarios reflecting exam questions
  • Timed mock exams with detailed answer reviews
  • Practice: Targeted review sessions for identified weak areas

Week 12: Final Exam Preparation & Strategy

  • Review of all Azure exam domains
  • Exam strategies: Time management, handling tricky questions, exam-day tips
  • Practice: Full-length exam simulation and final Q&A session

What you should Expect

Comprehensive Training

Gain in-depth knowledge of cloud solutions and DevOps practices while preparing for globally recognized certifications.

Exam Readiness

Access expert guidance, practice tests, and resources to excel in certification exams.

Career Advancement

Equip yourself with credentials that open doors to high-demand roles in cloud and DevOps.

Hands-On Skills

Build practical expertise through interactive labs and real-world simulations.

Flexible Learning

Benefit from a schedule tailored for working professionals and students.

Industry Alignment

Stay updated with the latest tools, trends, and best practices in cloud computing and DevOps.

Cloud Solutions Architect and DevOps Enginnering

Cloud Solutions Architect and DevOps Enginnering

Categories: Systems Analysis, Data Analysis, Business Process Management

About Course

This Cloud Solutions Architect course provides comprehensive training in cloud computing, covering platform-agnostic solutions as well as specific training in Microsoft Azure, AWS, and an option for Google Cloud. The curriculum focuses on key areas including virtualization, containers, microservices, DevOps, cloud design patterns, and financial, adoption, and migration patterns.

Upon completion of the course, students will be prepared for the following certification exams:

  • Microsoft Certified: Azure Fundamentals (AZ-900)

  • AWS Certified Solutions Architect – Associate

Prerequisites

No previous knowledge or experience with cloud projects is required. This course is suitable for anyone looking to start a career in cloud solutions architecture and DevOps engineering.

What You Will Learn

  • Fundamental concepts of cloud computing

  • Proficiency in Microsoft Azure and AWS with an option to learn Google Cloud

  • Working with containers, microservices, DevOps, and cloud design patterns

  • Understanding cloud financial, adoption, and migration patterns

  • Making trade-off decisions for cloud solutions

  • Practical skills in using cloud platforms to meet business needs

  • Preparing for industry-relevant certifications: Microsoft Azure 900 and AWS Cloud

    Practitioner

  • Preparation for the Certified Cloud Solutions Architect exams

Who is it suitable for

This Cloud Solutions Architect and DevOps Engineering course is best suited for:

  • Any professional aspiring to become a Cloud Solutions Architect or DevOps Engineer

  • Cloud Architects

  • Aspiring Cloud Professionals with some years of experience

  • Senior IT Professionals

  • DevOps Engineers

  • System Administrators

  • IT Managers

  • Software Developers

Course Outline

Week 1
  • Cloud Foundations
  1. Introduction to Business Analysis
  2. Key Concepts and Learning Outcomes
  3. Overview of Project Initiation and Planning
  4. Agile Essentials
Week 2

 1. Azure Infrastructure

    • Introduction to Azure & Its Services

    • ○  Azure Virtual Machines (Networking Components, High Availability, Scale Sets,

      Autoscaling)

    • ○  Storage (Blob Storage, Azure Files)

    • ○  Virtual Networking (Networking Options, VNet Peering, VNet to VNet Setup)

Week 3
  • Azure Infrastructure (Continued)
    •     Active Directory (Basics on Azure AD & AD Connect)
    • Azure Resource Manager (Building AR Template, Powershell, CLI, Cloud Shell
      Usage)
  • Azure Security Solutions
    • Load Balancing (Azure Load Balancer, Application Gateway, WAF, Azure Traffic Manager)
    • Network Security (Network Security Groups, Azure Bastion, Firewall)Security & Governance Solution
Week 4
  • Azure Solutions for Apps
    • Azure App Services (Web Apps, Azure Functions, Logic Apps)
    • API Management
    • Container-based Applications, Messaging & Event-based Services (Service Bus,Event Hub, Event Grid)
    • Azure DevOps
    • Monitoring (Options, Metrics, Service Health, Activity Log, Alerts, Configuring Log
      Analytics and Diagnostic Logging, Configuring App Insights)
  • Azure Data Platforms
    • Cosmos DB (Introduction, Working with Core SQL API, Global Distribution, Throughput, Consistency, Partitioning, Connect via Azure Function/VM)
       
    • SQL Database (Database Options & Models)
    • Data Services Introduction (Azure Data Factory, Synapse, Databricks, Stream Analytics)
Week 5
  • Azure Machine Learning Services
    • AI Services Offered on Azure
    • Azure ML Studio
    • Azure ML & Loading Data
    • Data Manipulation
    • Visualizing Categorical and Numerical Data
  • AWS Core Services
    • Understanding Core AWS Services, Their Use Cases, and Configuration
    • Designing and Deploying Scalable, Highly Available, and Fault-tolerant Systems
      on AWS
Week 6
  • AWS Core Services
    • Selecting Appropriate AWS Services Based on Data, Compute, Database, or
      Security Requirements
    • AWS Elastic Beanstalk, AWS CloudFormation, AWS OpsWorks
    • Designing Cost-Optimized Solutions on AWS
    • Creating and Deploying Scalable, Secure, and Reliable AWS Architectures
    • Implementing DevOps Practices and Enabling Continuous Delivery & Deployment
  • AWS Networking and Security Services
    • Networking and Data Migration
    • Identity and Access Management
Week 7
  • AWS Managed Services
    • Databases (RDS, DynamoDB)
    • Web Application Firewall
    • SNS, SQS, CloudWatch
    • Athena, QuickSight, and Kinesis
    • Serverless (Lambda)
    • AWS Cognitive Services (Rekognition, Comprehend, and Polly)
Week 8
  • Containers and AWS DevOps
    • Docker
    • Elastic Container Service (ECS)
    • Deployment Pipeline (AWS CodeCommit, AWS CodeDeploy, AWS CodePipeline)
    • CloudFormation
    • Terraform
  • Enterprise Cloud Solutions on AWS
    • Data Architecture & Serverless Approach
    • Setting Up a Cloud-based Development Environment
    • Data Streaming and Data Analytics on Cloud
    • Setting Up Kinesis Data Stream
    • Platform as a Service – Elastic Beanstalk
    • Step Functions
    • Elasticsearch

 

Weeks 9-12: Exam Preparation
  • Mock Exams for Microsoft Azure and AWS Cloud Practitioner
  • Detailed Solutions and Discussions
  • Topic-wise Revision Sessions
  • Additional Practice Tests

Applications are currently Open!

Get access to this course

Class Schedule

Classes will be held every weekend on:

  •  Saturdays: 3 hours
  •  Sundays: 3 hours

Requirements

No previous knowledge or experience with projects is required. Everyone can participate in the business analysis training.

Any computer and OS will work, Windows, macOS, or Linux. We will set up your text editor for the course.

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