What you'll learn:
- Project 1: Book Review App (End-to-End DevOps Deployment) Build a complete delivery flow around a real application.
- Project 2: The Epic Book (Real App + CI/CD Practice) Work on a second real project to repeat the system: version control, deployment mindset, structured docs.
- Project 3: My React App (Frontend DevOps Workflow) Learn how DevOps applies to frontend apps too — clean build flow, deployment approach, and “ship-ready”.
- Project 4: Personal Portfolio Template (Capstone Portfolio Proof) Turn your learning into proof: portfolio template + deployment-ready structure + final present
- 42 industry-relevant assignments (hands-on, not theory)
- 2 Clouds: Amazon Web Services + Microsoft Azure
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.