This GitLab CI/CD pipeline course focuses on building real-world DevOps workflows using Docker, GitLab CI, and AWS ECS Fargate. It is designed for developers who want to automate application build, test, and deployment processes in a production-like environment.
You will start by learning how to build Docker images inside a GitLab CI pipeline and push them to a container registry using CI/CD variables. This helps automate application packaging and deployment.
The course explains key pipeline concepts such as jobs and stages, along with hands-on examples to structure efficient CI/CD workflows.
You will also learn how to set up a free GitLab Runner using Oracle Cloud, which allows you to execute pipeline jobs on your own infrastructure.
A major focus of the course is performance optimization using caching in GitLab CI. You will understand how caching speeds up pipeline execution and improves efficiency.
In addition, you will learn how to use artifacts in pipelines, how to delete artifacts using REST API, and the difference between caching and artifacts.
The course also covers deployment to AWS ECS Fargate, including task definitions and service configuration for running Docker containers in a scalable cloud environment.
By the end of this course, you will be able to build, optimize, and deploy full CI/CD pipelines using GitLab, Docker, and AWS cloud services.
