COURSE
GitLab CI/CD: Complete Hands-On Pipeline
Architect deep multi-stage pipelines, provision local & shared runners, and implement dynamic YAML reusability.
Orchestrate robust staging-to-production CD environments with real cloud targets and custom runner pools.
- Advanced
- Duration 4 Days
- Level Professional
- Certificate Included
Hands-on Labs
Real-world labs and practical scenarios to build strong administration skills.
Expert Instructors
Learn from certified Linux professionals with years of industry experience.
Industry Recognized
Earn a certificate that enhances your career and validates your technical expertise.
Dedicated Support
Get 24/7 support from our team to help you throughout your learning journey.
Course Overview
A comprehensive engineering track engineered around an aggressive practical deployment structure. Transition
from traditional SDLC bottlenecks into production-ready automated tracks. Architect deep multi-stage pipelines,
provision local & shared runtime runners, optimize caching patterns, implement dynamic YAML reusability, and
orchestrate robust staging-to-production CD environments across 11 modules.
- 11-module deep-dive — the most comprehensive GitLab CI/CD course in the catalogue
- Pytest CI testing matrix: quality-assurance validation built directly into pipelines
- Real cloud CD targets: actual staging-to-production deployments, not simulations
- YAML templating and DRY principles: reusable, enterprise-scale pipeline design
What You’ll Learn
CI/CD Core, Branching, Pipelines & Runner Infrastructure
- Understanding CI/CD terms, modern system benefits, and standard terminology
- Deconstructing the software development life cycle (SDLC) vs traditional approaches
- Navigating the functional GitLab working engine, UI portals, and enterprise projects
Variable Isolation & Context Scoping
- Managing system values, parameters, and credentials within GitLab CI environments
- Leveraging native predefined system variables to pass runtime execution telemetry
- Authoring custom-scoped variables to abstract configuration settings cleanly
CI Testing Matrix & Cloud Continuous Delivery
- Orchestrating isolated smoke testing frameworks powered by Pytest modules
- Integrating quality-assurance validation stages directly into active pipelines
- Chaining chronological stages: Source Validation, Safe Build, and Secure Image Push
Structural Job Templating, Reusability & Lint Verification
- Introduction to microservice pipeline templates and YAML compilation patterns
- Implementing dry job definitions to enforce global standardization rules
- Running modular template pipelines to achieve extreme configuration scale
Trusted by Professionals from Top Companies
Course Details
- Duration: 4 Days
- Level: Professional
- Mode: Online / Classroom
- Certificate: Yes
- Training: Instructor-Led
- Language: English
- Access: Lifetime Access
Why Choose Amigo?
- Industry-focused training
- Certified and experienced trainers
- Hands-on real-world experience
- Flexible learning options
- Career guidance and support
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