GitLab CI/CD Pipelines: Beginner's Guide to DevOps and AWS Deployment

Modern software development relies on automation to deliver high-quality code quickly and reliably. Understanding continuous integration and continuous deployment (CI/CD) is one of the most valuable skills for any developer or aspiring DevOps engineer. This course guides you from DevOps fundamentals to building production-ready automated pipelines using GitLab. You will learn how to write pipeline configurations, automate testing, package applications with Docker, and deploy securely to cloud environments. What you'll learn: - Understand foundational DevOps principles, CI/CD concepts, and YAML syntax for pipeline configuration. - Build multi-stage GitLab CI/CD pipelines to automate unit testing, linting, and quality checks. - Manage build artifacts, job dependencies, and parallel execution to optimize pipeline speed. - Integrate Docker to containerize applications and manage images within the GitLab Container Registry. - Configure secure deployments to AWS services like S3 and ECS using modern OpenID Connect (OIDC) passwordless authentication. - Implement environment-specific variables, manual approval gates, and automated deployment workflows. The course starts with essential terminology and basic pipeline structures before advancing to real-world deployment workflows. Through clear explanations and practical configuration examples, you will progress step-by-step from local code changes to cloud-hosted environments. Designed entirely for beginners, this course requires no prior DevOps or pipeline experience, though basic familiarity with Git and command-line tools is helpful. Start automating your development workflow today and build your first pipeline.