In this module, we will guide you through the basics of creating and configuring your first GitHub Actions workflows. You'll learn how to incorporate user inputs and make your workflows more adaptable. By the end of this section, you'll be able to automate simple tasks and start building robust CI/CD pipelines.

In this module, we will walk you through the process of creating GitHub Actions workflows specifically for .NET applications. You’ll learn to automate the build, test, and deployment stages for your .NET projects. Additionally, we will show you how to deploy a .NET app to Azure, integrating DevOps best practices into your workflow.

In this module, we will cover how to deploy infrastructure into Azure using GitHub Actions. You will learn how to automate the deployment of Terraform-based infrastructure, as well as how to use Bicep for infrastructure as code (IaC) within your workflows. By the end of this section, you'll have a solid grasp of deploying infrastructure efficiently with GitHub Actions.

In this module, we will focus on building and pushing Docker images within GitHub Actions. You will learn how to automate the creation of Docker images and push them to container registries, enhancing your ability to manage containerized applications. This section will prepare you to integrate Docker with your CI/CD pipelines seamlessly.

In this module, we will dive deep into CI/CD for Kubernetes and Azure Kubernetes Service (AKS). You’ll learn how to build Docker images, push them to the registry, and deploy them to Kubernetes clusters. By the end of this section, you’ll be able to set up a complete and automated CI/CD pipeline for Kubernetes/AKS deployments.

In this module, we will guide you through the process of setting up and executing a CI/CD pipeline for Azure Container Apps. You'll start by configuring the necessary environment, then move on to building and deploying your applications using automated workflows. This section will give you the tools to automate deployments to Azure Container Apps effectively.

In this module, we will explore how to set up and use a self-hosted runner in GitHub Actions. You will learn how to configure and integrate a self-hosted runner into your workflows, giving you greater control over your CI/CD processes. This section will help you optimize your pipelines with more flexible, custom environments.

In this module, we will explore the concept of reusable workflows in GitHub Actions. You’ll learn how to create and integrate reusable workflows into your DevOps pipelines, which can drastically improve efficiency and reduce redundancy. By the end of this section, you’ll be able to optimize your automation processes

In this module, we will introduce secure methods for authenticating GitHub Actions workflows, particularly focusing on Workload Identity (OIDC) for passwordless automation. You’ll learn how to implement OIDC authentication and apply it to your CI/CD pipelines for added security. This section will ensure that your pipelines remain secure while still being automated.

In this module, we will explore GitHub's advanced security tools like CodeQL and Microsoft Defender for DevOps. You will learn how to integrate automated code scanning and vulnerability detection into your GitHub Actions workflows. This section will help you secure your pipelines and ensure that your applications are robust against potential security threats.

In this module, we will show you how to implement documentation checks, specifically focusing on catching spelling errors as part of your CI/CD pipeline. You will learn to automate documentation validation to ensure that your documentation is error-free and consistent. By the end of this section, you’ll have a comprehensive documentation check integrated into your GitHub Actions workflow.

In this module, we will demonstrate how to trigger an Azure Pipeline from a GitHub Actions workflow. You will learn how to integrate GitHub Actions with Azure DevOps for cross-platform automation. This section will show you how to streamline your CI/CD workflows using both GitHub and Azure DevOps, creating a powerful, unified pipeline.