• views: 119
• date: 28 December 2025
• posted by: voska89

Hands-on DevOps Projects: Python, Docker, Kubernetes, Helm, Terraform, Github Actions, GCP, Prometheus, Grafana and more
What you'll learn
Build real DevOps portfolio projects you can showcase to employers
Configure and operate core Kubernetes components
Deploy end-to-end applications with Python, Docker, Kubernetes, GCP, Terraform and Github Actions
Deploy, manage and monitor - multi‑environment cloud infrastructure and Kubernetes workloads with Terraform, Helm, Prometheus, and Grafana on Google Cloud
Requirements
A laptop with internet access and ability to install required tools
Basic linux, networking and coding skills, basic knowledge of Docker and Kubernetes
You'll need to purchase a domain in GoDaddy during the course
You'll need to create an account on GCP during the course, which may add expenses (first 300 dollars will be free)
Description
Are you ready to become a confident DevOps engineer with real, portfolio-ready experience? This course takes you beyond theory and directly into practical, industry-relevant projects that showcase key DevOps skills employers are looking for. You'll learn how to automate infrastructure, deploy applications on the cloud, manage Kubernetes environments, and understand core kubernetes-cluster internals — all through real scenarios you build yourself.In this course you will:Build a full end-to-end flight application: create a Flask service with PostgreSQL, containerize it with Docker, deploy it to a Google Kubernetes Engine (GKE) cluster, expose it securely with Ingress and Cert-Manager, and automate everything with Terraform and a GitHub Actions.Construct a multi-environment Kubernetes application using Helm chart for MongoDB and mongo-express, set up QA, Prod, and Monitoring environments with GCP networking, GKE, logging, DNS, secrets, Buckets and observability using Prometheus and Grafana.Dive deep into Kubernetes core components by building and configuring your own control plane (API server, scheduler, controller-manager), customizing scheduler behavior with scheduling profiles that influence how pods are placed on nodes, controlling API server access using webhook authentication integrated with Cloud SQL and admission controllers, configuring controller-manager and implementing a custom controller/operator to manage Cloud SQL from inside the cluster.By the end of this course, you'll not only understand how to use top DevOps tools like Docker, Kubernetes, Terraform, and GitHub Actions in real projects, but you'll also have a portfolio of deployable projects you can show to potential employers. Whether you're aiming for your first DevOps job or looking to expand your practical cloud and automation skills, this course gives you hands-on experience and confidence to succeed.
Who this course is for
Aspiring DevOps engineers who want to land their first job in DevOps and build a strong portfolio
People who are looking to expand their DevOps skills with real projects
Homepage

https://www.udemy.com/course/hands-on-devops-build-real-projects-for-your-portfolio/

   
   
   

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