DevOps Engineer

1- DevOps Prerequisites

• Linux Basics: Overview of popular Linux distributions, command line navigation, file system structure, process management, and permissions. Includes guided exercises for file manipulation, process monitoring, and command‑line tasks.
• Application Basics: An introduction to application components, the software development lifecycle, and basic application architecture with interactive exercises examining common scenarios.
• Networking Basics: Fundamentals of IP addressing, network protocols (TCP/IP, DNS), and basic troubleshooting, accompanied by virtual labs to configure network settings and resolve connectivity issues.
• Web Servers Basics: Core concepts of web server architecture, an overview of common web server software (e.g., Apache, Nginx), and practical configuration and testing of HTTP requests.
• YAML: Introduction to YAML syntax and structure, with practical tasks to create and edit configuration files used in automation.

2- DevOps Essentials

• Understanding DevOps: Explore the business drivers and benefits of DevOps, examine its core principles, and discuss why organizations adopt DevOps methodologies.
• Agile and DevOps Integration: Study the relationship between agile practices and DevOps, including real‑world case studies and interactive agile sprint planning exercises.
• DevOps Lifecycle & Delivery Pipeline: Analyze the stages from development through production, including feedback loops and the overall delivery pipeline. Students map out a sample pipeline using diagramming tools.
• Market Trends and Ecosystem: Review current industry trends, emerging tools, and real‑world DevOps use cases through group activities and research presentations.
• Virtualization & Cloud Computing: Introduction to virtualization concepts (including VMs and containers) and an overview of cloud service models, with labs using virtual environments and cloud demos.

3- Managing Source Code – Git and GitHub

• Version Control Fundamentals: Understand the evolution of version control, comparing central and distributed systems through practical exercises using local repositories.
• Introduction to Git: Cover core Git concepts such as commits, branches, and merges, supported by hands‑on labs to initialize repositories and manage branches.
• Advanced Git Workflows: Delve into essential Git commands (branching, merging, stashing, rebasing, reverting, and resetting) through scenario‑based tasks that simulate real‑world development challenges.
• Collaborating with GitHub: Learn how to set up remote repositories, use pull requests, and follow collaboration best practices, with exercises that encourage team collaboration on projects.

4- Understanding and Using Build Tools

• Build Automation Overview: Examine the importance of automating software builds and an overview of various build tools.
• Introduction to Maven: Study Maven’s architecture, dependency management, and project lifecycle with practical exercises creating a Maven project, editing POM files, and running builds.
• Maven Customization: Learn to configure Maven plugins and archetypes to customize the build process, including hands‑on exercises integrating plugins into sample projects.
• Integration with Source Control: Discover how build tools integrate with version control systems to trigger automated builds through practical setup exercises.

5- Configuration Management Using Ansible

• Fundamentals of Configuration Management: Explore the benefits of automation in maintaining consistent system configurations across environments.
• Getting Started with Ansible: Learn about Ansible’s architecture, installation procedures, and core components through guided setup exercises.
• Creating Ansible Playbooks: Practice writing YAML‑based playbooks incorporating variables, loops, and conditionals; labs include writing, testing, and debugging sample playbooks.
• Working with Ansible Modules: Discover common modules for automating system tasks such as package installations and service management through practical exercises.
• Advanced Ansible Techniques: Study dynamic inventories, roles, and how to leverage Ansible Galaxy for reusable content, applying these techniques to complex projects.

6- Docker and Containerization

• Understanding Containers vs. VMs: Compare and contrast containerization and virtualization with exercises to set up both environments.
• Docker Fundamentals: Explore Docker’s architecture, including images, containers, and registries. Students install Docker, pull images, and run containers in guided labs.
• Creating Docker Images: Learn to write Dockerfiles, build custom images, and optimize them through iterative hands‑on projects.
• Managing Multi‑Container Applications with Docker Compose: Understand how to write and configure Docker Compose files to manage multiple containers, including configuring networks, volumes, and environment variables.
• Best Practices in Containerization: Study security, performance, and maintenance strategies for container environments, applying best practices through practical scenarios.

7- Continuous Integration Using Jenkins

• Foundations of Continuous Integration: Learn the critical role of CI in development and gain an overview of Jenkins architecture, installation, and basic configuration.
• Jenkins Pipelines as Code: Study declarative pipelines using Jenkinsfiles, including syntax, structure, and versioning. Practical exercises involve writing and executing sample Jenkinsfiles.
• Integrating with Source Control: Explore how Jenkins integrates with Git/GitHub, triggering builds on commits, and managing webhooks through guided lab setups.
• Automated Testing and Code Quality: Incorporate testing frameworks and code quality tools (such as SonarQube) into the CI pipeline. Exercises include integrating automated tests and quality scans.
• Artifact Management and Extended Integration: Learn to manage build artifacts using repositories like Nexus or Artifactory and explore the Jenkins plugin ecosystem for extended functionality.
• Security and Scalability Best Practices: Examine methods to secure Jenkins installations and scale CI processes with distributed builds, with practical demonstrations of security configurations.

8- Deployment Automation using Kubernetes

• Core Kubernetes Concepts: Study the architecture of Kubernetes, including pods, nodes, deployments, and services with interactive labs to create basic clusters.
• Cluster Installation and Setup: Learn to install Kubernetes using kubeadm and explore managed Kubernetes services, with step‑by‑step guided cluster setup exercises.
• Managing Workloads: Practice creating pods, deployments, and services using YAML files. Labs focus on scaling workloads and managing ReplicaSets and rolling updates.
• Advanced Kubernetes Topics: Explore Helm for package management, configure networking with Ingress controllers, and examine load balancing techniques through hands‑on exercises.
• Extending Kubernetes Functionality: Introduce custom resource definitions (CRDs) and operators, with labs to deploy and manage a custom operator.
• Security and Best Practices: Learn about role‑based access control (RBAC), secrets management, and resource quotas; practical labs focus on securing a Kubernetes cluster.

9- Continuous Monitoring Using Prometheus

• Monitoring Fundamentals: Understand the importance of monitoring, metrics, logs, and traces in a modern IT environment, supported by practical dashboard setup exercises.
• Introduction to Prometheus: Study the architecture and data model of Prometheus, and learn its configuration along with basic PromQL queries through guided installations.
• Advanced Querying and Alerting: Craft advanced queries using PromQL, set up alert rules, and configure notifications through hands‑on labs.
• Dashboarding with Grafana: Integrate Prometheus with Grafana and design custom dashboards to visualize performance metrics.
• Monitoring Integration and Troubleshooting: Explore best practices for monitoring containerized and cloud-based applications, with simulated scenarios to diagnose and resolve issues.

10- DevOps Project – Build a Real‑World Application

• Project Kickoff & Planning: Understand the complete DevOps lifecycle from code commit to production deployment; engage in group discussions and planning sessions.
• Tool Integration and Workflow Setup: Integrate Docker, Jenkins, Ansible, and Git into a unified environment. Guided exercises focus on setting up an end‑to‑end CI/CD pipeline.
• Development, Testing, and Automation: Automate build, test, and deployment processes, and iterate on application updates through hands‑on labs.
• End‑to‑End Deployment: Deploy a fully integrated, real‑world application simulating a production rollout, including final system testing and performance analysis.
• Project Review and Optimization: Conduct peer reviews, analyze project performance, and identify areas for improvement through guided reflection and feedback sessions.

11- AWS Cloud

• Cloud Deployment Models: Study public, private, and hybrid cloud models with case studies analyzing real‑world deployment strategies.
• Benefits of AWS Cloud: Explore AWS Cloud’s advantages—including security, reliability, high availability, elasticity, agility, and cost‑effectiveness—through interactive demonstrations and cost analysis exercises.
• Core AWS Services: Get an overview of AWS compute, storage, and networking services; participate in labs deploying simple AWS services.
• Real‑World Case Studies: Analyze successful AWS implementations and discuss their impact on enterprise IT infrastructures.

12- Cloud Architecture Design

• Core Design Principles: Learn best practices for building scalable, resilient, and cost‑effective cloud architectures through the analysis of sample designs.
• Design for Failure and Decoupling: Examine strategies for fault tolerance, disaster recovery, and decoupled system design with scenario‑based exercises.
• Elasticity and Shared Responsibility: Explore methods to implement dynamic scaling in the cloud, and understand the shared responsibility model between AWS and its customers through interactive labs.
• AWS-Specific Services: Review services such as AWS ECR, Fargate, and Lambda, and complete hands‑on labs deploying serverless and containerized applications.

13- Terraform – Infrastructure as Code

• Introduction to Infrastructure as Code (IaC): Understand the benefits of managing infrastructure through code, with discussions comparing Terraform to other automation tools.
• Terraform Fundamentals: Study the Terraform workflow including initialization, planning, and execution; practice writing and managing configuration files.
• Practical Terraform Application: Engage in labs to create and execute Terraform plans, visualize resource graphs, and manage changes in a controlled environment.
• Advanced Terraform Concepts: Learn to manage state files, handle resource dependencies, and automate infrastructure changes through real‑world exercises.

14- Setting Resource Dependencies with Terraform

• Understanding Resource Graphs: Explore how Terraform visualizes resource dependencies, with exercises to analyze and map dependencies in sample configurations.
• Deploying Infrastructure Changes: Learn techniques for previewing configuration changes, executing updates, and managing state through guided labs.
• Configuring Backends: Study the configuration of remote state management using AWS S3 and DynamoDB, with practical sessions to set up a backend for team collaboration.
• Best Practices in State Management: Discuss strategies to ensure consistency and reliability in infrastructure deployments through real‑world scenarios.

This career path equips you with the expertise to design, automate, and manage modern IT infrastructures using DevOps, Site Reliability Engineering (SRE), and cloud technologies. By completing this path, you will:

• Implement DevOps principles to streamline development, deployment, and operations.

• Apply automation and Infrastructure as Code (IaC) using tools like Terraform.

• Design scalable and resilient cloud architectures with AWS and other platforms.

• Optimize workflows with CI/CD pipelines, monitoring, and observability.

• Leverage DevOps leadership strategies to drive organizational transformation.

• Enhance security and performance through best practices in system reliability and threat mitigation.

• Utilize measurement and analytics to improve efficiency and business outcomes.

This program prepares you for high-demand roles such as DevOps Engineer, Cloud Architect, SRE, and Platform Engineer, empowering you to lead digital transformation in modern enterprises.

This career path is designed for professionals seeking to master DevOps, Site Reliability Engineering (SRE), and Cloud technologies to streamline IT operations and accelerate software delivery. It is ideal for:

• Software Developers & Engineers looking to integrate DevOps practices into their workflows.

• System Administrators & IT Professionals aiming to automate infrastructure management and enhance reliability.

• Cloud Engineers & Architects who want to design and optimize cloud-based solutions.

• Security & Networking Professionals focused on securing and scaling IT environments.

• Aspiring DevOps & SRE Specialists eager to transition into high-demand roles in automation, monitoring, and cloud-native technologies.

Whether you’re starting fresh or upskilling, this program provides the tools and hands-on experience to advance your career in DevOps, SRE, and cloud engineering.