DevOps Micro-Internship: Docker, K8s, Cloud + 4 Projects

If you’re tired of watching tutorials and still not feeling job-ready — this course is for you. This is the self-paced version of my DevOps Micro-Internship (DMI) approach. That means: Assignments + real projects Build → break → fix → document → ship You don’t just learn tools — you learn how to work like a DevOps engineer - No fluff. No endless theory. - You will produce a real GitHub portfolio. - And yes — I cannot guarantee a job. But if you do the work properly, you will become job-ready with skills + confidence. What makes this Micro-Internship style (DMI way)? Most courses stop at explaining. This one forces execution. In each module you will: Learn the concept (short + practical) Do guided labs (hands-on) Complete an assignment (industry-style) Push your work to GitHub (portfolio proof) Document your steps (README + screenshots + learnings) Watching is not progress. Shipping is progress. What you’ll build (4 Portfolio Projects) You will complete 4 real projects designed to simulate real DevOps work, such as: Containerizing an application using Docker + Docker Compose Building CI/CD pipelines (Azure DevOps) with real deployment flow Deploying and scaling workloads on Kubernetes (K8s) (Deployments, Services, Ingress, scaling) Automating infrastructure and deployments using Terraform + Ansible Adding monitoring/observability using Prometheus + Grafana A final “portfolio-ready” project flow tying everything together (capstone-style) (Exact project steps are provided inside the course — you’ll know what to build, what to submit, and how to document.) What you’ll learn (full roadmap) DevOps Foundations DevOps principles, delivery lifecycle, basic networking, tooling mindset Linux for DevOps Command line, permissions, processes, logs, networking tools, shell scripting, troubleshooting Git & GitHub (Real Workflow) Branching, merging, pull requests, collaboration practices, clean repo structure Cloud Fundamentals (AWS + Azure) Compute, networking, storage, IAM, and security best practices How DevOps workflows map to cloud services Infrastructure as Code Provision infrastructure with Terraform Configure/deploy with Ansible CI/CD with Azure DevOps Build pipelines, release pipelines, artifacts, environments, secrets, deployments Docker (Containerization) Dockerfiles, images, containers, volumes, networking, Compose Kubernetes (K8s) Pods, Deployments, Services, ConfigMaps, Secrets, Ingress, scaling basics Monitoring & Observability Metrics + dashboards with Prometheus and Grafana What to monitor and why (practical approach) Who this course is for Beginners who want a structured DevOps path Developers / IT professionals moving into DevOps Cloud / SysAdmins wanting automation + CI/CD + Kubernetes skills Anyone who wants portfolio + job readiness, not just certificates Prerequisites No prior DevOps experience required Basic Linux / networking awareness helps (but not required) A mindset to do the work and troubleshoot (this is the real skill) Course includes 40+ hours on-demand video Hands-on labs + assignments 4 real-world projects (portfolio-ready) Lifetime access + updates Udemy Certificate of Completion How to get the best results (simple rule) If you want results, follow this weekly rhythm: Start early, execute daily, document everything, and ship to GitHub Don’t wait for motivation — use the system Enroll if you’re ready to stop “just learning” and start building real DevOps skills.