# **DevOps Course Curriculum Outline**

## ***Mastering DevOps: From Fundamentals to Advanced Practices***

Course Overview:  
This comprehensive course provides a deep dive into the world of DevOps, covering its core principles, methodologies, and the essential tools used to implement continuous integration, continuous delivery, and continuous deployment. Participants will gain hands-on experience with industry-leading technologies, enabling them to streamline software development lifecycles, enhance collaboration, and build robust, scalable, and secure systems.  
**Target Audience:**

* Software Developers, System Administrators, and IT Operations professionals looking to transition into DevOps roles.  
* Existing DevOps engineers seeking to deepen their knowledge and learn new tools and practices.  
* Anyone interested in understanding and implementing modern software delivery practices.

**Prerequisites:**

* Basic understanding of Linux command line.  
* Familiarity with fundamental programming concepts (any language).  
* Basic knowledge of networking concepts.  
* Prior experience with cloud platforms (AWS, Azure, or GCP) is beneficial but not required.

## **Course Modules:**

### **Module 1: Introduction to DevOps and Foundational Concepts**

* **1.1 What is DevOps?**  
  * Evolution of software development: Waterfall to Agile to DevOps  
  * Defining DevOps: Culture, Automation, Lean, Measurement, Sharing (CALMS)  
  * Benefits of adopting DevOps  
  * DevOps vs. Agile vs. SRE  
* **1.2 DevOps Principles and Practices**  
  * The Three Ways of DevOps (Flow, Feedback, Continuous Learning)  
  * Cross-functional teams and collaboration  
  * Automation as a core principle  
* **1.3 Software Development Life Cycle (SDLC) in DevOps**  
  * Planning, Coding, Building, Testing, Releasing, Deploying, Operating, Monitoring  
  * Integrating Agile and Scrum with DevOps practices  
* **1.4 Linux Fundamentals for DevOps**  
  * Essential Linux commands  
  * File system navigation and management  
  * User and permission management  
  * Basic shell scripting (Bash)

### **Module 2: Version Control with Git & GitHub**

* **2.1 Introduction to Version Control Systems (VCS)**  
  * Why Git? Distributed VCS vs. Centralized VCS  
  * Git installation and basic configuration  
* **2.2 Git Essentials**  
  * git init, git add, git commit, git status, git log  
  * Understanding the Git workflow: working directory, staging area, local repository  
* **2.3 Branching and Merging Strategies**  
  * Creating, switching, and deleting branches  
  * Merging branches: Fast-forward and 3-way merge  
  * Handling merge conflicts  
  * Rebasing vs. Merging  
* **2.4 Working with Remote Repositories (GitHub/GitLab/Bitbucket)**  
  * git clone, git push, git pull, git fetch  
  * GitHub basics: Repositories, Issues, Pull Requests  
  * Collaborative workflows (Forking, Pull Requests)

### **Module 3: Cloud Computing Fundamentals for DevOps**

* **3.1 Introduction to Cloud Computing**  
  * Cloud service models (IaaS, PaaS, SaaS)  
  * Deployment models (Public, Private, Hybrid)  
  * Benefits and challenges of cloud adoption  
* **3.2 Overview of Major Cloud Providers (AWS, Azure, GCP)**  
  * Key services relevant to DevOps (Compute, Storage, Networking, Databases)  
  * Understanding regions and availability zones  
* **3.3 Cloud Identity and Access Management (IAM)**  
  * Users, Groups, Roles, Policies  
  * Best practices for cloud security

### **Module 4: Containerization with Docker**

* **4.1 Introduction to Containerization**  
  * Virtualization vs. Containerization  
  * Benefits of Docker  
  * Docker architecture: Daemon, Client, Images, Containers, Registries  
* **4.2 Docker Images and Dockerfiles**  
  * Building custom Docker images  
  * Dockerfile instructions (FROM, RUN, CMD, ENTRYPOINT, COPY, ADD, EXPOSE, VOLUME, ENV)  
  * Multi-stage builds  
* **4.3 Managing Docker Containers**  
  * Running, stopping, restarting, removing containers  
  * Inspecting containers and logs  
  * Container networking and port mapping  
* **4.4 Docker Compose for Multi-Container Applications**  
  * Defining multi-service applications with docker-compose.yml  
  * Orchestrating services locally

### **Module 5: Container Orchestration with Kubernetes**

* **5.1 Introduction to Kubernetes**  
  * Why Kubernetes? Challenges of managing containers at scale  
  * Kubernetes architecture: Master and Worker Nodes, Kube-API Server, etcd, Kube-Scheduler, Kube-Controller-Manager, Kubelet, Kube-Proxy  
* **5.2 Kubernetes Core Concepts**  
  * Pods, ReplicaSets, Deployments  
  * Services (ClusterIP, NodePort, LoadBalancer)  
  * Namespaces  
* **5.3 Deploying and Managing Applications on Kubernetes**  
  * YAML manifests for Kubernetes objects  
  * kubectl commands for deployment, scaling, and management  
  * Rolling updates and rollbacks  
* **5.4 Storage and Configuration in Kubernetes**  
  * Persistent Volumes (PV) and Persistent Volume Claims (PVC)  
  * ConfigMaps and Secrets  
* **5.5 Advanced Kubernetes Concepts**  
  * Ingress Controllers  
  * Helm for package management  
  * Introduction to Kubernetes Operators (brief)

### **Module 6: Continuous Integration (CI) with Jenkins & GitHub Actions**

* **6.1 Introduction to Continuous Integration**  
  * Goals and benefits of CI  
  * CI pipeline stages  
* **6.2 Jenkins Fundamentals**  
  * Installation and setup  
  * Jenkins UI and administration  
  * Creating Freestyle and Pipeline jobs  
  * Jenkins plugins  
* **6.3 Jenkins Pipelines (Pipeline as Code)**  
  * Declarative vs. Scripted Pipelines  
  * Writing Jenkinsfile for CI/CD  
  * Integrating Git, Maven/Gradle, Docker into Jenkins pipelines  
* **6.4 GitHub Actions**  
  * Introduction to GitHub Actions workflows  
  * Creating and configuring workflows with YAML  
  * Using actions from the marketplace  
  * Building CI pipelines with GitHub Actions

### **Module 7: Infrastructure as Code (IaC) with Terraform**

* **7.1 Introduction to Infrastructure as Code**  
  * Benefits of IaC  
  * Declarative vs. Imperative IaC  
* **7.2 Terraform Fundamentals**  
  * Terraform architecture: Providers, Resources, Modules  
  * Terraform configuration language (HCL)  
  * terraform init, plan, apply, destroy  
* **7.3 Managing Cloud Infrastructure with Terraform**  
  * Provisioning resources on AWS/Azure/GCP (e.g., EC2 instances, VPCs, S3 buckets)  
  * Terraform state management  
  * Using variables and outputs  
* **7.4 Terraform Modules and Workspaces**  
  * Creating reusable infrastructure modules  
  * Managing multiple environments with workspaces

### **Module 8: Configuration Management with Ansible**

* **8.1 Introduction to Configuration Management**  
  * Why Ansible? Agentless automation  
  * Ansible architecture: Control Node, Managed Nodes, Inventory  
* **8.2 Ansible Basics**  
  * Installation and setup  
  * Inventory files  
  * Ad-hoc commands  
* **8.3 Ansible Playbooks**  
  * Writing playbooks with YAML  
  * Tasks, modules, handlers  
  * Variables and facts  
* **8.4 Advanced Ansible Concepts**  
  * Roles for structured playbooks  
  * Ansible Vault for sensitive data  
  * Integrating Ansible with CI/CD pipelines

### **Module 9: Continuous Monitoring and Observability**

* **9.1 Importance of Monitoring in DevOps**  
  * Goals: Visibility, Alerting, Troubleshooting  
  * Metrics, Logs, Traces  
* **9.2 Monitoring Tools: Prometheus & Grafana**  
  * Introduction to Prometheus for metric collection and alerting  
  * Introduction to Grafana for data visualization and dashboards  
  * Setting up basic monitoring for applications and infrastructure  
* **9.3 Cloud-Specific Monitoring Services**  
  * AWS CloudWatch, Azure Monitor, Google Cloud Monitoring  
* **9.4 Log Management (Brief Overview)**  
  * Centralized logging solutions (e.g., ELK Stack, Splunk)  
* **9.5 Alerting and Incident Response**  
  * Defining alerts and notification channels  
  * Basic incident management practices

### **Module 10: DevSecOps and Advanced Topics**

* **10.1 Introduction to DevSecOps**  
  * Integrating security throughout the SDLC  
  * Shift-left security principles  
* **10.2 Security in CI/CD Pipelines**  
  * Static Application Security Testing (SAST)  
  * Dynamic Application Security Testing (DAST)  
  * Software Composition Analysis (SCA)  
  * Vulnerability scanning for containers and infrastructure  
* **10.3 Site Reliability Engineering (SRE) Principles (Brief)**  
  * SLOs, SLAs, Error Budgets  
  * Toil reduction  
* **10.4 Microservices Architecture and DevOps**  
  * Benefits and challenges of microservices  
  * Deployment strategies for microservices  
* **10.5 Troubleshooting and Best Practices**  
  * Common DevOps challenges and solutions  
  * Building a resilient and scalable DevOps pipeline

### **Module 11: Real-World DevOps Projects**

* **11.1 Project 1: CI/CD Pipeline for a Web Application**  
  * Build a complete CI/CD pipeline using Git, Jenkins/GitHub Actions, Docker, and Kubernetes to deploy a sample web application.  
* **11.2 Project 2: Infrastructure Provisioning with Terraform**  
  * Provision a complete cloud infrastructure (VPC, EC2, Load Balancer, RDS) using Terraform.  
* **11.3 Project 3: Configuration Management with Ansible**  
  * Automate the setup and configuration of multiple servers using Ansible playbooks.

Course Outcomes:  
Upon completion of this course, participants will be able to:

* Understand and articulate the core principles and benefits of DevOps.  
* Effectively use Git for version control and collaborate on code.  
* Containerize applications using Docker and manage them efficiently.  
* Orchestrate containerized applications at scale with Kubernetes.  
* Design and implement robust CI/CD pipelines using Jenkins or GitHub Actions.  
* Automate infrastructure provisioning with Terraform.  
* Manage server configurations with Ansible.  
* Implement effective monitoring and observability for their systems.  
* Integrate security practices into their DevOps workflows (DevSecOps).  
* Apply DevOps principles and tools to real-world projects.