DevOps Engineer Course Syllabus

Overview: This comprehensive DevOps Engineer Course offers a hands-on, pipeline-first learning journey with AI integration across key DevOps stages. Structured into six phases, the program spans approximately 132 hours of content, blending foundational concepts with advanced automation, cloud-native delivery, and intelligent pipeline optimization. Learners engage in self-paced, text-rich modules complemented by practical labs and real-world projects, culminating in a capstone that integrates all skills. Ideal for aspiring DevOps Engineers, SREs, and Automation Engineers, the course prepares you for modern infrastructure and deployment workflows.

Module 1: DevOps Foundations and AI-Driven Workflows

Estimated time: 20 hours

• Evolution of DevOps and DevOps culture
• CI/CD principles and value stream mapping
• Git workflows and branching strategies
• Pull request reviews and collaboration practices
• Integrating AI tools like GitHub Copilot for code and documentation automation

Module 2: Infrastructure as Code with Terraform and CloudFormation

Estimated time: 20 hours

• Provisioning AWS resources using Terraform
• Managing infrastructure with CloudFormation
• Remote state management and locking
• Modular IaC design and best practices
• Testing infrastructure with Terratest

Module 3: Configuration Management with Ansible

Estimated time: 15 hours

• Writing Ansible playbooks and roles
• Managing inventories and dynamic configurations
• Secrets management using HashiCorp Vault
• Using Generative AI to create and optimize Ansible configurations

Module 4: Containers and Kubernetes Orchestration

Estimated time: 20 hours

• Docker architecture and container lifecycle
• Building and managing Docker images
• Kubernetes architecture and core components
• Deploying applications using Kubernetes manifests and Helm charts

Module 5: End-to-End CI/CD Pipeline Integration

Estimated time: 25 hours

• Building pipelines with Jenkins and GitHub Actions
• Integrating Terraform and Ansible into CI/CD workflows
• Container integration with Docker and Kubernetes
• Implementing automated testing and deployment gates
• AI-enhanced documentation and pipeline optimization

Module 6: Final Project

Estimated time: 12 hours

• Provision infrastructure using IaC tools
• Configure environments with Ansible and Vault
• Deploy and scale containerized applications on Kubernetes
• Implement monitoring and logging
• Optimize pipeline performance using AI tools

Prerequisites

• Familiarity with Linux command line
• Basic scripting knowledge (Bash/Python)
• Introductory understanding of cloud computing and networking

What You'll Be Able to Do After

• Design and implement CI/CD pipelines with AI-enhanced automation
• Provision and manage cloud infrastructure using Terraform and CloudFormation
• Automate configuration management with Ansible and AI-generated playbooks
• Containerize applications and orchestrate them using Kubernetes
• Build and monitor end-to-end DevOps workflows with observability and security integration