1. Introduction to Cloud-Based DevOps (10 hours)
     •    Understanding DevOps Principles in the Cloud
           o    Culture, Collaboration, and Automation in Cloud Environments
           o    Key Benefits of Cloud-Based DevOps: Scalability, Flexibility, and Cost-Efficiency
     •    Overview of Cloud Infrastructure (AWS, Azure, GCP)
           o    Key Concepts: Regions, Availability Zones, Virtual Networks, Security Groups
           o    Introduction to IaaS, PaaS, and SaaS Models
     •    Lab Session: Setting Up Basic Cloud Infrastructure on AWS, Azure, and GCP
           o    Creating Virtual Machines and Configuring Virtual Networks
           o    Introduction to AWS Management Console, Azure Portal, and Google Cloud Console
2. Linux Essentials for Cloud DevOps (10 hours)
     •    Introduction to Linux Operating System
           o    Linux Distributions: Amazon Linux, Ubuntu, CentOS
           o    File System Hierarchy and Basic Commands (ls, cd, pwd, etc.)
     •    Basic Linux Commands and Shell Scripting
           o    File Operations: cp, mv, rm, cat, nano, vim
           o    Process Management: ps, top, kill
           o    User and Group Management: useradd, groupadd, chmod, chown
     •    Lab Session: Hands-on with Linux Commands in Cloud Environments
           o    Working with AWS EC2 Instances, Azure Virtual Machines, and GCP Compute Engine
           o    Writing Basic Shell Scripts for Automation
3. Version Control Systems and Git Integration (10 hours)
     •    Introduction to Version Control Systems (VCS)
           o    Git Basics: Branching, Merging, and Collaboration
           o    Importance of Version Control in DevOps
     •    Deep Dive into Git and GitHub/GitLab Integration
           o    Overview of GitHub, GitLab as DevOps Platforms
           o    Setting Up Repositories, Managing Access, Using Pull Requests
     •    Lab Session: Working with Git in Cloud Environments
           o    Using Git for Version Control on AWS CodeCommit, Azure Repos, and Google Cloud Source                  Repositories
           o    Setting Up CI/CD Pipelines with GitHub Actions
4. AWS DevOps Tools and Services (10 hours)
     •    Overview of AWS DevOps Services
           o    AWS CodePipeline, CodeBuild, CodeDeploy, and CodeCommit
           o    AWS CloudFormation and AWS Elastic Beanstalk
     •    Hands-On with AWS DevOps Tools
           o    Building CI/CD Pipelines with AWS CodePipeline
           o    Deploying Applications with AWS CodeDeploy and Elastic Beanstalk
     •    Lab Session: Implementing AWS DevOps Solutions
           o    Creating a CI/CD Pipeline Using AWS DevOps Services
           o    Automating Infrastructure Deployment with AWS CloudFormation
5. Azure DevOps Tools and Services (10 hours)
     •    Overview of Azure DevOps Services
           o    Azure Pipelines, Azure Repos, Azure Artifacts, Azure Boards
           o    Azure Resource Manager (ARM) Templates and Azure Functions
     •    Hands-On with Azure DevOps Tools
           o    Building CI/CD Pipelines with Azure Pipelines
           o    Deploying Applications with Azure Functions and Azure Kubernetes Service (AKS)
     •    Lab Session: Implementing Azure DevOps Solutions
           o    Creating a CI/CD Pipeline Using Azure DevOps
           o    Automating Infrastructure Deployment with Azure Resource Manager Templates
6. Google Cloud DevOps Tools and Services (10 hours)
     •    Overview of GCP DevOps Services
           o    Google Cloud Build, Google Cloud Deployment Manager, Google Kubernetes Engine (GKE)
           o    Google Cloud Source Repositories, Artifact Registry
     •    Hands-On with GCP DevOps Tools
           o    Building CI/CD Pipelines with Google Cloud Build
           o    Deploying Applications with Google Kubernetes Engine (GKE) and Google App Engine
     •    Lab Session: Implementing GCP DevOps Solutions
           o    Creating a CI/CD Pipeline Using GCP DevOps Tools
           o    Automating Infrastructure Deployment with Google Cloud Deployment Manager
7. Infrastructure as Code (IaC) on AWS, Azure, and GCP (10 hours)
     •    Introduction to Infrastructure as Code (IaC)
           o    Benefits and Tools (AWS CloudFormation, Azure Resource Manager, Google Cloud                                  Deployment Manager, Terraform)
           o    Best Practices for IaC in Multi-Cloud Environments
     •    Hands-On with Terraform for Multi-Cloud Deployments
           o    Writing and Managing Terraform Scripts for AWS, Azure, and GCP
     •    Lab Session: Implementing IaC with Terraform
           o    Automating Infrastructure Setup on AWS, Azure, and GCP Using Terraform
8. Containerization and Orchestration with AWS, Azure, and GCP (10 hours)
     •    Introduction to Docker and Kubernetes
           o    Benefits of Containerization in Cloud Environments
     •    Deep Dive: Container Services on AWS, Azure, and GCP
           o    AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), Google Kubernetes                      Engine (GKE)
     •    Lab Session: Deploying Containerized Applications
           o    Setting Up and Managing Kubernetes Clusters on AWS EKS, Azure AKS, and GCP GKE
           o    Deploying and Managing Docker Containers
9. Continuous Integration and Continuous Deployment (CI/CD) in the Cloud (10 hours)
     •    Overview of CI/CD Pipelines
           o    CI/CD Strategies for Cloud Environments
           o    Tools and Techniques for Automated Testing and Deployment
     •    Implementing CI/CD with AWS, Azure, and GCP
           o    Using AWS CodePipeline, Azure Pipelines, and Google Cloud Build for CI/CD
           o    Integrating with Third-Party Tools like Jenkins and GitLab
     •    Lab Session: Creating End-to-End CI/CD Pipelines
           o    Building and Deploying Applications with AWS, Azure, and GCP Pipelines
10. Monitoring, Logging, and Observability in Cloud (10 hours)
     •    Introduction to Monitoring and Logging
           o    Importance of Observability in Cloud-Based DevOps
           o    Overview of Tools: AWS CloudWatch, Azure Monitor, Google Cloud Operations Suite                              (Stackdriver), ELK Stack
     •    Deep Dive: Setting Up Monitoring and Alerts
           o    Configuring AWS CloudWatch, Azure Monitor, and Google Cloud Operations Suite for                            Application and Infrastructure Monitoring
     •    Lab Session: Implementing Monitoring Solutions
           o    Setting Up Dashboards and Alerts on AWS CloudWatch, Azure Monitor, and Google Cloud                    Operations Suite
11. Security and Compliance in Cloud DevOps (10 hours)
     •    Introduction to Cloud Security Principles
           o    Shared Responsibility Model in AWS, Azure, and GCP
           o    Cloud Security Best Practices and Compliance (e.g., IAM, VPC Security, Data Encryption)
     •    Hands-On Security Tools
           o    Using AWS IAM, AWS WAF, Azure Active Directory, Azure Security Center, Google Cloud                        IAM, and Google Cloud Security Command Center
     •    Lab Session: Implementing Security Best Practices
           o    Configuring Security Groups, IAM Roles, and Access Controls in AWS, Azure, and GCP
12. Advanced Automation and Scripting for Cloud DevOps (10 hours)
     •    Advanced Scripting Techniques for Cloud Automation
           o    Bash, Python, and PowerShell for AWS, Azure, and GCP Automation
           o    Use Cases and Best Practices
     •    Lab Session: Writing Advanced Scripts
           o    Automating Cloud Operations (e.g., Scaling, Backup, Maintenance) with AWS CLI, Azure CLI,                    and Google Cloud SDK
13. Multiple CI/CD Projects with AWS, Azure, GCP, and Jenkins (10 hours)
     •    Project 1: CI/CD Pipeline with AWS DevOps Services
           o    Design and Implement a Complete CI/CD Pipeline Using AWS CodePipeline, CodeBuild, and                  CodeDeploy
           o    Automate the Build, Test, and Deployment Processes in AWS
     •    Project 2: CI/CD Pipeline with Azure DevOps Services
           o    Set Up Azure Pipelines for Continuous Integration and Deployment
           o    Deploy Applications to Azure Kubernetes Service (AKS) and Azure App Services
     •    Project 3: CI/CD Pipeline with Google Cloud DevOps Services
           o    Create a Pipeline Using Google Cloud Build for CI/CD
           o    Deploy Applications to Google Kubernetes Engine (GKE) and Google App Engine
     •    Project 4: Hybrid CI/CD Pipeline Using Jenkins, AWS, Azure, and GCP
           o    Design a Multi-Cloud CI/CD Pipeline Using Jenkins for CI, AWS CodeDeploy, Azure Pipelines, and Google Cloud Build for Deployment
           o    Implement Advanced Deployment Strategies (Blue-Green, Canary Releases)
           o    Monitor and Log Deployments Using AWS CloudWatch, Azure Monitor, Google Cloud                            Operations Suite, and ELK Stack
     •    Lab Session: Implementing and Managing Multiple CI/CD Projects
           o    Setting Up and Configuring Environments for Each Project
           o    Deploying Applications Across Different Cloud Platforms
14. Case Studies, Best Practices, and Final Project (10 hours)
     •    Case Studies on Successful Cloud DevOps Implementations
           o    Real-World Examples, Best Practices, and Lessons Learned
     •    Final Project Presentation and Evaluation
           o    Develop and Demonstrate a Comprehensive DevOps Pipeline