In this section, you’ll build a strong foundation in Azure, the most widely used cloud platform in enterprise DevOps. We’ll move step by step from understanding subscriptions and cost management to deploying core services like virtual machines, networking, storage, and Key Vault. You’ll also learn how to apply RBAC for secure access and explore Azure’s pricing calculator for cost optimization.

Linux is fundamental in DevOps and is used in a variety of technologies, from servers to containers. Understanding Linux commands is essential for working in this environment. In this lesson, you will:

Welcome to the Terraform module, where you’ll learn one of the most powerful tools in DevOps Infrastructure as Code (IaC).

Every serious DevOps Engineer must master Git the backbone of modern software collaboration. In this module, we move beyond theory and go hands-on with Git and GitHub, the same tools used by engineering teams worldwide.

Containers are the foundation of modern DevOps enabling teams to package, ship, and run applications anywhere without worrying about dependencies. In this module, you’ll master Docker, the industry-standard containerization tool, and learn how to build, run, and manage containerized applications both locally and in the cloud.

In this lesson, you will learn how to deploy a Docker image from Azure Container Registry to a Kubernetes cluster. Here's what you will do

Before automating deployments, it is necessary to securely authenticate GitHub with Azure. The following steps detail how to create a Service Principal in Azure Active Directory

This module brings everything together. You’ll build and run a full CI/CD pipeline that connects GitHub, Azure, and Kubernetes. By automating your build and deployment, you’ll achieve continuous delivery the core of modern DevOps engineering.

In the final technical module of the course, you will focus on DevOps observability, a crucial aspect in real-world operations. Through this module, you'll understand monitoring running workloads in Kubernetes with Prometheus and visualizing metrics in Grafana. The key takeaways include

In this video, we build and deploy a simple FastAPI API and package it using Docker containers, following a workflow commonly used by DevOps engineers and backend developers. Modern applications are rarely deployed directly from a developer's machine. Instead, they are containerized so they can run consistently across different environments such as development, staging, and production.