1. Introduction to DevOps and On-Premise Infrastructure (10 hours)
     •    Understanding DevOps Principles
           o    Culture, Collaboration, and Automation
           o    Key Benefits of DevOps: Speed, Efficiency, and Quality
           o    Differences between On-Premise and Cloud-based DevOps
     •    Overview of On-Premise Infrastructure
           o    Physical Servers, Virtual Machines, Containers
           o    Networking, Storage, and Compute Basics
           o    Role of Hypervisors (VMware, Hyper-V)
     •    Lab Session: Setting Up a Basic On-Premise Environment
           o    Installing a Hypervisor and Setting Up Virtual Machines
           o    Basic Networking Configuration
2. Linux Essentials (10 hours)
     •    Introduction to Linux Operating System
           o    Linux Distributions: Ubuntu, CentOS, Red Hat
           o    File System Hierarchy and Navigation (e.g., ls, cd, pwd)
     •    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
     •    Network Configuration and Troubleshooting
           o    Basic Networking Commands: ifconfig, ping, netstat, ssh
     •    Lab Session: Hands-on with Linux Commands and Shell Scripting
           o    Creating and Managing Files and Directories
           o    Writing Basic Shell Scripts for Automation
3. Version Control Systems and GitLab 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 GitLab
           o    Overview of GitLab as a DevOps Platform: Features and Capabilities
           o    Setting Up GitLab on-Premise (Self-Managed)
           o    GitLab Repositories, Issues, and Merge Requests
     •    Lab Session: Installing and Configuring GitLab On-Premise
           o    Deploying a GitLab Instance on a Local Server
           o    Creating Repositories, Managing Access, Using GitLab CI/CD
4. Configuration Management and Automation Tools (10 hours)
     •    Overview of Configuration Management
           o    Importance and Role in DevOps
           o    Popular Tools: Ansible, Puppet, Chef, SaltStack
     •    Deep Dive: Ansible for On-Premise Environments
           o    Ansible Architecture and Components
           o    Writing Playbooks and Managing Configurations
     •    Lab Session: Configuration Management with Ansible
           o    Installing and Configuring Ansible
           o    Developing Playbooks for Common Infrastructure Tasks
5. Continuous Integration (CI) Practices with GitLab CI (10 hours)
     •    Introduction to Continuous Integration
           o    CI Pipeline: Code Build, Test, and Integration
           o    Challenges and Benefits in On-Premise Environments
     •    Deep Dive: GitLab CI for Continuous Integration
           o    Understanding GitLab CI/CD Architecture
           o    Creating CI Pipelines in GitLab
     •    Lab Session: Building CI Pipelines with GitLab CI
           o    Setting Up Runners, Writing .gitlab-ci.yml Files
           o    Integrating GitLab with Other Tools
6. Continuous Deployment (CD) and Delivery with GitLab (10 hours)
     •    Introduction to Continuous Deployment and Delivery
           o    Deployment Pipeline: Automated Builds, Tests, and Releases
           o    Tools and Techniques for On-Premise CD
     •    Deep Dive: Implementing CD with GitLab
           o    Using GitLab Pipelines for Deployment (Blue-Green, Canary Releases)
     •    Lab Session: Setting Up CD Pipelines with GitLab
           o    Automating Deployment of Applications using GitLab CI/CD
7. Infrastructure as Code (IaC) (10 hours)
     •    Introduction to IaC
           o    Benefits and Tools (Terraform, AWS CloudFormation, Azure ARM)
           o    Challenges of IaC in On-Premise Environments
     •    Terraform for On-Premise Deployments
           o    Writing and Managing Terraform Scripts
     •    Lab Session: Implementing IaC with Terraform
           o    Automating Infrastructure Setup Using Terraform Scripts
8. Monitoring, Logging, and Observability (10 hours)
     •    Introduction to Monitoring and Logging
           o    Importance of Observability in DevOps
           o    Overview of Tools: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)
     •    Deep Dive: Setting Up Monitoring with Prometheus and Grafana
           o    Configuring Metrics Collection and Visualization
     •    Lab Session: Monitoring On-Premise Systems
           o    Setting Up ELK Stack for Log Management
9. Security and Compliance in On-Premise DevOps (10 hours)
     •    Introduction to DevSecOps
           o    Integrating Security into the DevOps Pipeline
           o    On-Premise Security Considerations: Network, Access, and Data Security
     •    Hands-On Security Tools
           o    Using Tools like OWASP ZAP, Snyk, and SonarQube for Security Scanning
     •    Lab Session: Implementing Security Scans
           o    Adding Security Scans to GitLab CI/CD Pipelines
10. Containerization, Kubernetes, and OpenShift (10 hours)
     •    Introduction to Containerization with Docker
           o    Benefits of Containers in On-Premise Environments
     •    Kubernetes Fundamentals
           o    Kubernetes Architecture and Components
           o    Kubernetes for On-Premise Deployments
     •    Deep Dive: OpenShift for On-Premise Container Orchestration
           o    Understanding OpenShift Architecture and Features
           o    Deploying and Managing Applications with OpenShift
     •    Lab Session: Deploying Applications with OpenShift
           o    Setting Up and Managing an OpenShift Cluster Locally
           o    Using OpenShift Console and CLI for Application Deployment
11. Advanced Automation and Scripting (10 hours)
     •    Advanced Scripting Techniques for Automation
           o    Bash, Python, PowerShell for Automation
           o    Use Cases and Best Practices
     •    Lab Session: Writing Advanced Scripts
           o    Automating Complex Tasks like Backup, Maintenance, and Monitoring
12. Backup, Recovery, and Disaster Management (10 hours)
     •    Strategies for Backup and Disaster Recovery
           o    Tools and Techniques for Backup and Restoration in On-Premise Environments
     •    Lab Session: Setting Up Automated Backup and Disaster Recovery
           o    Using Tools like Bacula, rsync, and Customized Scripts
13. Multiple CI/CD Projects with GitLab, OpenShift, and Jenkins (10 hours)
     •    Project 1: CI/CD Pipeline with GitLab
           o    Design and Implement a Complete CI/CD Pipeline Using GitLab
           o    Automate the Build, Test, and Deployment Processes
           o    Implement Security Scanning and Quality Gates
     •    Project 2: CI/CD Pipeline with Jenkins and OpenShift
           o    Set Up Jenkins for Continuous Integration
           o    Integrate Jenkins with OpenShift for Continuous Deployment
           o    Configure Jenkins Pipelines for Deploying Applications to OpenShift
     •    Project 3: Hybrid CI/CD Pipeline Using GitLab, OpenShift, and Jenkins
           o    Design a Multi-Stage Pipeline Using GitLab for CI, Jenkins for Intermediate Build Steps, and              OpenShift for Deployment
           o    Implement Advanced Deployment Strategies (Blue-Green, Canary Releases)
           o    Monitor and Log Deployments Using Prometheus and Grafana
     •    Lab Session: Implementing and Managing Multiple CI/CD Projects
           o    Setting Up and Configuring Environments for Each Project
           o    Deploying Applications Across Different Stages
14. Case Studies, Best Practices, and Final Project (10 hours)
     •    Case Studies on Successful On-Premise DevOps Implementations
           o    Real-World Examples, Best Practices, and Lessons Learned
     •    Final Project Presentation and Evaluation
           o    Develop and Demonstrate a Comprehensive DevOps Pipeline Using GitLab, OpenShift, and              Jenkins for On-Premise Applications