DevOps Engineering
Learn end-to-end DevOps engineering: Linux, Git, Docker, Kubernetes, Terraform, CI/CD pipelines, cloud infrastructure, monitoring, security, and real-world capstone projects.
About this skill path.
This hands-on DevOps engineering track teaches you how to design, automate, deploy, and operate modern cloud infrastructure. You’ll work with Linux, Git, Docker, Kubernetes, Terraform, and CI/CD tools to build scalable, resilient, and secure systems. By the end of the program, you’ll complete a production-grade DevOps capstone project with Infrastructure as Code, CI/CD pipelines, container orchestration, and monitoring.
What you'll learn.
Each track is carefully structured to take you from basics to real-world application.
- Linux Command Line & Shell Scripting
- Git & Version Control Workflows
- Containerization with Docker
- Multi-Container Orchestration with Docker Compose
- Infrastructure as Code using Terraform
- CI/CD Pipelines with GitHub Actions or Jenkins
- Kubernetes Orchestration & Self-Healing Systems
- Monitoring, Logging & DevSecOps Practices
- Cloud Deployment on AWS/Azure
- Production-Ready DevOps Capstone Project
Course syllabus
What's included:
- Linux terminal basics: filesystem navigation, permissions, users
- Process and service management (systemctl, ps, top)
- Networking tools: ping, curl, netstat, ssh
- Bash scripting: variables, loops, conditionals, I/O redirection
- Git fundamentals: branching strategies, merge vs rebase, conflict resolution
- Mini projects: file permission automation, API data fetching, service monitoring script, Git PR workflow
What's included:
- Containers vs virtual machines; Docker architecture
- Dockerfile fundamentals: FROM, RUN, COPY, CMD
- Persistent storage using volumes and bind mounts
- Container networking and service communication
- Docker Compose for multi-container applications
- Image optimization using multi-stage builds
- Pushing images to Docker Hub or Amazon ECR
What's included:
- Terraform basics: providers, resources, variables, outputs
- Deploying cloud resources (EC2 or equivalents)
- State management and remote backends (S3/DynamoDB)
- Creating reusable Terraform modules
- Applying DRY principles using modules
- Terraform logic: count, for_each, conditionals
- Provisioning multiple subnets using loops
What's included:
- CI/CD fundamentals: triggers, jobs, runners, steps
- Building pipelines with GitHub Actions or Jenkins
- Automated testing and linting in CI
- Secure secrets management in pipelines
- Continuous deployment to servers or container registries
- Master pipeline project: test, build image, deploy to test environment
What's included:
- Kubernetes architecture: clusters, nodes, pods
- kubectl usage and YAML manifests
- Deployments, replicas, and self-healing
- Exposing applications via Services
- ConfigMaps and Secrets for configuration management
- Liveness probes and resilient application design
What's included:
- Monitoring with Prometheus and Grafana
- Metrics collection and dashboard visualization
- Centralized logging using ELK Stack or Loki
- Searching logs for operational issues
- Container security scanning with Trivy
- Infrastructure security scanning with Checkov
- Backup strategies and disaster recovery automation
What's included:
- Choose a capstone project scenario
- Design cloud architecture
- Implement Infrastructure as Code using Terraform
- Set up CI/CD pipelines
- Deploy applications using Kubernetes
What's included:
- Finalize CI/CD automation and infrastructure
- Ensure monitoring, logging, and security are active
- Prepare documentation and README
- Record a video demo of the pipeline in action
- Final deliverables: GitHub repo, documentation, demo video
We believe learning practical tech skills should be affordable.
We've stripped away the fluff and focused on what matters. This is the best value-for-money tech education you'll find.
- 8 weeks intensive training
- Live classes & Recordings
- Weekly mentorship sessions
- Real-world portfolio projects
- Certificate of Completion
- Community Access