In this module, we will explore GitHub Actions, covering its features, benefits, and practical use cases while teaching you how to configure workflows, jobs, and triggers, and guiding you through setting up your first repository for automation.

In this module, we will guide you through writing your first workflows in GitHub Actions, adding jobs, steps, and triggers to automate CI/CD pipelines while learning to sequence jobs and run workflows on multiple operating systems.

In this module, we will show how to integrate pre-built actions into your workflows, manage build artifacts across jobs, and efficiently handle downloads and storage to streamline automation in your CI/CD pipelines.

In this module, we will focus on automating workflows tied to branches and pull requests, configuring triggers, running checks, and enforcing quality standards to manage merges and maintain code integrity effectively.

In this module, we will master advanced workflow syntax, teaching you to use variables, secrets, and environments effectively while incorporating conditional logic to create dynamic, reusable, and efficient workflows.

In this module, we will create a full CI/CD workflow for Python applications, automating tests, security scans, code quality checks, and Docker image builds, enabling end-to-end pipeline automation and deployment readiness.

In this module, we will explore creating reusable workflows that can be shared across multiple repositories, teaching you to configure permissions, inputs, and conditional triggers to save time and maintain consistency across projects.

In this module, we will introduce self-hosted GitHub Actions runners, covering installation, configuration, management, and advanced selection strategies to optimize CI/CD pipelines with customized environments.

In this module, we will demonstrate how to deploy and manage GitHub runners in Kubernetes using the Action Runner Controller, enabling scalable, flexible, and automated CI/CD pipelines with efficient runner utilization.

In this module, we will guide you through deploying applications to Kubernetes using GitHub Actions, automating tasks like manifest updates, secret management, and image tagging while creating reusable workflows and handling branch merges efficiently.

In this module, we will show how to run Selenium tests within GitHub Actions workflows, covering prerequisites, job integration, troubleshooting, and creating reusable test workflows to automate web application testing effectively.

In this module, we will demonstrate creating and using custom images for GitHub Actions runners, showing how to upgrade scalesets and verify that your workflows run in tailored environments for specialized CI/CD tasks.

In this module, we will explore integrating Helm with GitHub Actions, covering setup, chart creation, updates, and publishing, while demonstrating how to automate and troubleshoot complete Helm deployment pipelines for Kubernetes applications.

In this module, we will teach you how to develop, configure, and publish custom GitHub Actions, integrating them into workflows to enhance automation capabilities and streamline your CI/CD processes.

In this module, we will demonstrate creating Dockerfile-based custom GitHub Actions, building and publishing images, integrating them into workflows, and debugging to ensure seamless execution in production CI/CD pipelines.

In this module, we will wrap up the course by summarizing the key takeaways, reviewing practical CI/CD skills, and providing guidance for applying GitHub Actions knowledge to real-world projects for efficient and automated workflows.