GitLab CI/CD
Develop the skills to build a GitLab pipeline with controlled deployment through a learning path centred on GitLab CI/CD. Explore concepts, guided practice and an applied project.
Build practical GitLab CI/CD skills.
Skills and knowledge developed in this course.
- Pipeline configuration
- Runners and environments
- Build and test jobs
- Pipeline control
- Release security
- Pipeline project
About this course
This course develops practical capability in GitLab CI/CD. Its course-specific content covers Pipeline configuration, Runners and environments, Build and test jobs, Pipeline control, followed by an applied project focused on build a gitlab pipeline with controlled deployment. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with GitLab CI/CD or plan to take on responsibilities in this area.
Before you start
Basic computer literacy and a foundational understanding of devops & ci/cd. Prior experience with the named product helps with the practical exercises.
Build a GitLab pipeline with controlled deployment
Deliver build a gitlab pipeline with controlled deployment. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Pipeline configuration
+
- GitLab CI YAML structure and includes
- Stages, jobs and execution dependencies
Practical exerciseApply pipeline configuration to the build a gitlab pipeline with controlled deployment and capture the validation evidence.
02Runners and environments
+
- Runner tags and execution isolation
- Variables, protected values and environments
Practical exerciseApply runners and environments to the build a gitlab pipeline with controlled deployment and capture the validation evidence.
03Build and test jobs
+
- Caching and dependency reuse
- Artifacts and test-result reports
Practical exerciseApply build and test jobs to the build a gitlab pipeline with controlled deployment and capture the validation evidence.
04Pipeline control
+
- Rules, workflow triggers and manual jobs
- Child pipelines and reusable configuration
Practical exerciseApply pipeline control to the build a gitlab pipeline with controlled deployment and capture the validation evidence.
05Release security
+
- Protected branches and deployment approvals
- Container registry and secret handling
Practical exerciseApply release security to the build a gitlab pipeline with controlled deployment and capture the validation evidence.
06Pipeline project
+
- Implement build, test and deploy stages
- Diagnose a failed job and verify rollback
Practical exerciseApply pipeline project to the build a gitlab pipeline with controlled deployment and capture the validation evidence.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Pipeline configuration · Runners and environments
Establish the GitLab CI/CD scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Build and test jobs · Pipeline control
Apply the core GitLab CI/CD techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for build a gitlab pipeline with controlled deployment. - 04Learning milestone 4 In progress
Deliver the applied project
Complete build a gitlab pipeline with controlled deployment, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| Platform / DevOps Engineer | ₹7–13 LPA | ₹17–30 LPA | ₹34–56 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗