Build a strong foundation in DevOps and Cloud Engineering by following the courses below in the recommended order. This learning path is designed to take you from core DevOps concepts to production-grade cloud infrastructure, automation, and platform engineering.
Phase 1: DevOps Foundations
1. Intro to DevOps & Cloud Engineering
Duration: 7 Hours
Learn the fundamentals of DevOps, Cloud Computing, SDLC, CI/CD, infrastructure, automation, and the complete roadmap to becoming a DevOps Engineer.
Course: Intro to DevOps & Cloud Engineering
2. Git & GitHub Essentials for DevOps Engineers
Duration: 6 Hours
Master Git and GitHub from scratch and learn the version control workflows used by professional DevOps engineers to collaborate, automate, and manage code efficiently.
Course: Git & GitHub Essentials for DevOps Engineers
3. Linux for DevOps & Cloud Engineers
Duration: 9 Hours
Master Linux from the ground up and build the command-line and system administration skills required for DevOps and Cloud Engineering.
Course: Linux for DevOps & Cloud Engineers
4. Computer Networking for DevOps & Cloud Engineers
Duration: 9 Hours
Learn networking from first principles, including IP addressing, routing, DNS, HTTP, load balancing, firewalls, and networking concepts used in modern cloud environments.
Course: Computer Networking for DevOps & Cloud Engineers
Phase 2: Cloud & Automation
5. AWS Cloud Engineering Mastery
Duration: 25 Hours
Master AWS and learn to design, deploy, secure, automate, and manage production-ready cloud infrastructure using AWS services and best practices.
Course: AWS Cloud Engineering Mastery
6. Terraform for DevOps & Cloud Engineers (Coming Soon)
Estimated Duration: 12 Hours
Learn Infrastructure as Code (IaC) using Terraform. Build, provision, and manage cloud infrastructure on AWS using reusable, production-ready Terraform configurations and best practices.
7. Shell Scripting for DevOps & Cloud Engineers
Duration: 5 Hours
Learn Bash scripting to automate Linux administration, cloud operations, deployments, and day-to-day DevOps workflows.
Course: Shell Scripting for DevOps & Cloud Engineers
Phase 3: CI/CD (Coming Soon)
8. CI/CD with Jenkins (Coming Soon)
Estimated Duration: 10 Hours
Learn Jenkins from scratch and build production-ready CI/CD pipelines for automated software delivery.
9. GitLab CI/CD for DevOps Engineers (Coming Soon)
Estimated Duration: 10 Hours
Build modern CI/CD pipelines using GitLab CI/CD with testing, security scanning, and automated deployments.
Phase 4: Containerization & Orchestration (Coming Soon)
10. Docker for DevOps Engineers (Coming Soon)
Estimated Duration: 7 Hours
Learn Docker fundamentals, image creation, container management, Docker Compose, networking, volumes, and production best practices.
11. Production Kubernetes for DevOps Engineers (Coming Soon)
Estimated Duration: 30 Hours
Master Kubernetes from the ground up and learn how to deploy, scale, secure, troubleshoot, and manage production-grade Kubernetes clusters.
Phase 5: Observability (Coming Soon)
12. Observability for DevOps Engineers (Coming Soon)
Estimated Duration: 15 Hours
Learn monitoring, logging, metrics, tracing, Prometheus, Grafana, OpenTelemetry, and production observability practices.
Hands-on Projects
Theory alone isn't enough to become a DevOps Engineer. As you progress through the learning path, complete real-world projects to apply what you've learned and build a strong portfolio.
Projects: Browse All DevOps Projects
Complete projects alongside the corresponding courses whenever possible. By the end of this learning path, you should have multiple production-ready projects demonstrating skills in Linux, AWS, Docker, Kubernetes, CI/CD, Infrastructure as Code, monitoring, and automation.
Suggested Learning Timeline
| Daily Learning Time | Estimated Completion |
|---|---|
| 1 Hour/Day | 4–5 Months |
| 2 Hours/Day | 2–3 Months |
| 3 Hours/Day | 6–8 Weeks |
| 4+ Hours/Day | 4–6 Weeks |
Recommendations
- Complete the courses in the recommended order.
- Build every project included in each course.
- Practice Linux commands and shell scripting daily.
- Spend time understanding networking concepts before moving to cloud services.
- Create your own AWS infrastructure instead of only following tutorials.
- Build complete end-to-end DevOps projects after learning each major tool.
- Focus on understanding concepts rather than memorizing commands.
After Completing This Learning Path
You will be able to:
- Understand modern DevOps culture, workflows, and best practices.
- Use Git and GitHub professionally in collaborative environments.
- Confidently work with Linux systems and shell scripting.
- Understand networking concepts required in cloud infrastructure.
- Design and manage production-ready AWS infrastructure.
- Automate repetitive DevOps workflows using Bash.
- Build CI/CD pipelines using Jenkins and GitLab CI/CD.
- Containerize applications using Docker.
- Deploy and manage production Kubernetes clusters.
- Monitor and troubleshoot production systems using modern observability tools.
- Build, automate, deploy, and manage real-world cloud-native applications from development to production.