Track

DevOps

From Linux fundamentals to Kubernetes and infrastructure automation.

Create an account to track your progress on this trail.

  1. Python for DevOps

    Python fundamentals, APIs, file handling, and scripting for automation.

  2. Introduction to DevOps & Cloud

    DevOps culture, career paths (DevOps/Cloud/SRE), and what to expect.

  3. Linux

    Shell, filesystem, permissions, processes.

  4. Networking

    TCP/IP, DNS, HTTP, load balancing basics.

  5. Shell Scripting

    Bash fundamentals and automation scripts for cleanup, log rotation, and alerts.

  6. Git

    Version control workflows and collaboration.

  7. Docker

    Containers, images, Dockerfiles, Compose.

  8. Jenkins

    CI/CD pipelines and automation.

  9. GitHub Actions

    CI pipelines with SAST, OIDC to AWS, matrix builds, and self-hosted runners.

  10. DevSecOps

    SonarQube, Trivy, OWASP, and Docker Scout for secure CI/CD.

  11. Kubernetes

    Container orchestration at scale.

  12. Terraform

    Infrastructure as code.

  13. Ansible

    Architecture, inventories, ad-hoc commands, playbooks, and roles.

  14. Monitoring (Grafana & Prometheus)

    Observability, alerting, and visualization.

  15. Agentic AI for DevOps

    Gen AI, agentic frameworks, MCP integration, and a DevOps Copilot agent that reads logs and suggests fixes.

  16. Job Assistance

    LinkedIn and resume optimization, plus mock interview practice.