The GitLab CI/CD – Advanced course is aimed at professionals who want to move beyond their first pipelines to structure, strengthen and industrialize a CI/CD chain in GitLab. It deepens pipeline organization, configuration reuse, environment management and the automation of more complete workflows in contexts close to production.
Design robust, maintainable and scalable pipelines
Throughout this course, you will learn how to build more advanced pipelines, factor your configurations, better leverage variables, artifacts and runners, organize environments and integrate GitLab CI/CD into more realistic build, validation and deployment workflows. This course is the natural continuation of GitLab CI/CD – Fundamentals and prepares you for a more mature use of GitLab in team contexts.
Module 1: Advanced pipeline structuring
Module 2: Reuse and factorization
Module 3: Environments and deployments
Module 4: Extended pipelines and orchestration
Module 5: Advanced runner operation and optimization
Module 6: Quality, security and delivery best practices
Module 7: Troubleshooting and practical cases
Setting up a working GitLab pipeline is accessible; designing a robust, secure, performant and maintainable pipeline at the scale of an organization requires a much deeper mastery. Teams dealing with multi-environment delivery chains, complex release strategies or compliance constraints need advanced patterns: parallelization, optimized cache, parent/child pipelines, dynamic environments, conditional rules, integration with Docker, Kubernetes or Terraform.
The GitLab CI/CD Advanced training assumes the basics are mastered. It focuses on industrialization patterns: pipeline splitting, reuse through includes and templates, fine-grained management of variables and secrets, deployment strategies (canary, blue/green), interactions with external registries, and optimization of execution times. It also prepares profiles aiming for the GitLab Associate certification (GLB-10) by providing a practice level well above basic requirements.
Online tutorials often cover simple and dated cases. In the enterprise, complexity comes from the intersection of several constraints (security, performance, maintenance, traceability). This course offers scenarios inspired by real projects, compared architecture choices and feedback from a practicing instructor. You leave with a decision framework, not just commands.
After the training, apply the patterns seen in class to a real project in your organization: start by factoring an existing pipeline with includes, then gradually add cache, conditional rules and a review environment. Regularly revisit the official GitLab documentation, which evolves quickly.
Should I have taken GitLab Fundamentals before this training?
It is strongly recommended. Failing that, 6 to 12 months of operational experience with GitLab CI/CD on at least one project is expected.
Does this training cover GitLab runners?
Yes, runner configuration, tags and execution strategies (shared, group, project runners) are covered in the advanced context.
Can the content be transposed to other CI/CD tools like GitHub Actions?
The concepts are largely transferable (stages, jobs, variables, artifacts). The syntax and some native features remain GitLab-specific.
Does the training address DevSecOps and security scanning?
SAST/DAST/dependency scanning concepts are introduced. For deeper DevSecOps coverage, the DevSecOps Fundamentals training (SEC-01) is recommended as a complement.
Monday to Friday
8:30 AM to 6:00 PM
Tel. 058 307 73 00
ITTA
Route des jeunes 35
1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
