Course structure available

Stage 05 · Continuous Integration & Delivery

GitLab CI/CD Complete Course

Master GitLab CI/CD from pipeline fundamentals and runners through DAGs, reusable components, security scanning, cloud identity, deployments, governance, optimization, and production operations.

Browse curriculum View all chapters

GLCI

38chapters

190lessons

Intermediatestarting level

Hands-onlearning mode

Course stateCurriculum ready

Course brief

A production-grade GitLab CI/CD curriculum for secure, scalable software delivery.

This course is organized as a progressive operational curriculum from fundamentals through advanced production practice. Lesson files are reserved with stable repository paths so content can be added later without changing URLs or navigation.

By the end

You will be able to

Design maintainable pipelines with jobs, rules, DAGs, reusable components, and child pipelines
Operate GitLab Runner securely across shell, Docker, Kubernetes, and autoscaled environments
Build test, package, release, environment, and deployment workflows with traceable artifacts
Integrate security scanning, SBOMs, OIDC, policy controls, and software-supply-chain safeguards
Troubleshoot, optimize, govern, and scale CI/CD across large teams and enterprise estates

Complete syllabus

38 chapters in prerequisite order.

The structure goes beyond command references and feature lists. It includes architecture, security, reliability, troubleshooting, automation, governance, performance, and realistic production workflows.

Chapter 1

Continuous Integration and Delivery Foundations, GitLab Pipeline Architecture, and Delivery Flow

5 lessons

Continuous Integration and Delivery Foundations, GitLab Pipeline Architecture, and Delivery Flow: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Continuous Integration and Delivery Foundations, GitLab Pipeline Architecture, and Delivery Flow: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Continuous Integration and Delivery Foundations, GitLab Pipeline Architecture, and Delivery Flow: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Continuous Integration and Delivery Foundations, GitLab Pipeline Architecture, and Delivery Flow: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Continuous Integration and Delivery Foundations, GitLab Pipeline Architecture, and Delivery FlowReserved in course structure

Planned

Chapter 2

.gitlab-ci.yml Structure, Pipeline Compilation, Keywords, Defaults, and Configuration Validation

5 lessons

.gitlab-ci.yml Structure, Pipeline Compilation, Keywords, Defaults, and Configuration Validation: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

.gitlab-ci.yml Structure, Pipeline Compilation, Keywords, Defaults, and Configuration Validation: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

.gitlab-ci.yml Structure, Pipeline Compilation, Keywords, Defaults, and Configuration Validation: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

.gitlab-ci.yml Structure, Pipeline Compilation, Keywords, Defaults, and Configuration Validation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — .gitlab-ci.yml Structure, Pipeline Compilation, Keywords, Defaults, and Configuration ValidationReserved in course structure

Planned

Chapter 3

Jobs, Stages, Scripts, Images, Services, before_script, after_script, and Exit Behavior

5 lessons

Jobs, Stages, Scripts, Images, Services, before_script, after_script, and Exit Behavior: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Jobs, Stages, Scripts, Images, Services, before_script, after_script, and Exit Behavior: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Jobs, Stages, Scripts, Images, Services, before_script, after_script, and Exit Behavior: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Jobs, Stages, Scripts, Images, Services, before_script, after_script, and Exit Behavior: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Jobs, Stages, Scripts, Images, Services, before_script, after_script, and Exit BehaviorReserved in course structure

Planned

Chapter 4

GitLab Runner Architecture, Registration, Runner Managers, Job Execution, and Lifecycle

5 lessons

GitLab Runner Architecture, Registration, Runner Managers, Job Execution, and Lifecycle: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

GitLab Runner Architecture, Registration, Runner Managers, Job Execution, and Lifecycle: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

GitLab Runner Architecture, Registration, Runner Managers, Job Execution, and Lifecycle: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

GitLab Runner Architecture, Registration, Runner Managers, Job Execution, and Lifecycle: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — GitLab Runner Architecture, Registration, Runner Managers, Job Execution, and LifecycleReserved in course structure

Planned

Chapter 5

Runner Executors: Shell, Docker, Docker Autoscaler, Kubernetes, SSH, and Custom Execution Models

5 lessons

Runner Executors: Shell, Docker, Docker Autoscaler, Kubernetes, SSH, and Custom Execution Models: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Runner Executors: Shell, Docker, Docker Autoscaler, Kubernetes, SSH, and Custom Execution Models: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Runner Executors: Shell, Docker, Docker Autoscaler, Kubernetes, SSH, and Custom Execution Models: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Runner Executors: Shell, Docker, Docker Autoscaler, Kubernetes, SSH, and Custom Execution Models: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Runner Executors: Shell, Docker, Docker Autoscaler, Kubernetes, SSH, and Custom Execution ModelsReserved in course structure

Planned

Chapter 6

CI/CD Variables, Predefined Variables, File Variables, Masking, Protection, Expansion, and Precedence

5 lessons

CI/CD Variables, Predefined Variables, File Variables, Masking, Protection, Expansion, and Precedence: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

CI/CD Variables, Predefined Variables, File Variables, Masking, Protection, Expansion, and Precedence: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

CI/CD Variables, Predefined Variables, File Variables, Masking, Protection, Expansion, and Precedence: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

CI/CD Variables, Predefined Variables, File Variables, Masking, Protection, Expansion, and Precedence: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — CI/CD Variables, Predefined Variables, File Variables, Masking, Protection, Expansion, and PrecedenceReserved in course structure

Planned

Chapter 7

Secrets Management, External Secret Providers, Protected Data, Rotation, and Least-Privilege Patterns

5 lessons

Secrets Management, External Secret Providers, Protected Data, Rotation, and Least-Privilege Patterns: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Secrets Management, External Secret Providers, Protected Data, Rotation, and Least-Privilege Patterns: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Secrets Management, External Secret Providers, Protected Data, Rotation, and Least-Privilege Patterns: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Secrets Management, External Secret Providers, Protected Data, Rotation, and Least-Privilege Patterns: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Secrets Management, External Secret Providers, Protected Data, Rotation, and Least-Privilege PatternsReserved in course structure

Planned

Chapter 8

workflow:rules, Job rules, if Expressions, changes, exists, Pipeline Sources, and Conditional Execution

5 lessons

workflow:rules, Job rules, if Expressions, changes, exists, Pipeline Sources, and Conditional Execution: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

workflow:rules, Job rules, if Expressions, changes, exists, Pipeline Sources, and Conditional Execution: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

workflow:rules, Job rules, if Expressions, changes, exists, Pipeline Sources, and Conditional Execution: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

workflow:rules, Job rules, if Expressions, changes, exists, Pipeline Sources, and Conditional Execution: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — workflow:rules, Job rules, if Expressions, changes, exists, Pipeline Sources, and Conditional ExecutionReserved in course structure

Planned

Chapter 9

Stages, needs DAGs, Dependency Graphs, Early Execution, and Pipeline Critical-Path Design

5 lessons

Stages, needs DAGs, Dependency Graphs, Early Execution, and Pipeline Critical-Path Design: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Stages, needs DAGs, Dependency Graphs, Early Execution, and Pipeline Critical-Path Design: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Stages, needs DAGs, Dependency Graphs, Early Execution, and Pipeline Critical-Path Design: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Stages, needs DAGs, Dependency Graphs, Early Execution, and Pipeline Critical-Path Design: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Stages, needs DAGs, Dependency Graphs, Early Execution, and Pipeline Critical-Path DesignReserved in course structure

Planned

Chapter 10

Artifacts, Reports, Retention, Dependencies, needs:artifacts, and Cross-Job Data Flow

5 lessons

Artifacts, Reports, Retention, Dependencies, needs:artifacts, and Cross-Job Data Flow: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Artifacts, Reports, Retention, Dependencies, needs:artifacts, and Cross-Job Data Flow: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Artifacts, Reports, Retention, Dependencies, needs:artifacts, and Cross-Job Data Flow: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Artifacts, Reports, Retention, Dependencies, needs:artifacts, and Cross-Job Data Flow: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Artifacts, Reports, Retention, Dependencies, needs:artifacts, and Cross-Job Data FlowReserved in course structure

Planned

Chapter 11

Caches, Cache Keys, Fallback Keys, Distributed Cache, Dependency Reuse, and Cache Correctness

5 lessons

Caches, Cache Keys, Fallback Keys, Distributed Cache, Dependency Reuse, and Cache Correctness: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Caches, Cache Keys, Fallback Keys, Distributed Cache, Dependency Reuse, and Cache Correctness: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Caches, Cache Keys, Fallback Keys, Distributed Cache, Dependency Reuse, and Cache Correctness: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Caches, Cache Keys, Fallback Keys, Distributed Cache, Dependency Reuse, and Cache Correctness: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Caches, Cache Keys, Fallback Keys, Distributed Cache, Dependency Reuse, and Cache CorrectnessReserved in course structure

Planned

Chapter 12

YAML Reuse with include, extends, Anchors, !reference, Hidden Jobs, and Template Architecture

5 lessons

YAML Reuse with include, extends, Anchors, !reference, Hidden Jobs, and Template Architecture: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

YAML Reuse with include, extends, Anchors, !reference, Hidden Jobs, and Template Architecture: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

YAML Reuse with include, extends, Anchors, !reference, Hidden Jobs, and Template Architecture: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

YAML Reuse with include, extends, Anchors, !reference, Hidden Jobs, and Template Architecture: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — YAML Reuse with include, extends, Anchors, !reference, Hidden Jobs, and Template ArchitectureReserved in course structure

Planned

Chapter 13

CI/CD Components, Component Catalog, inputs, Versioned Reuse, and Organization-Wide Pipeline Building Blocks

5 lessons

CI/CD Components, Component Catalog, inputs, Versioned Reuse, and Organization-Wide Pipeline Building Blocks: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

CI/CD Components, Component Catalog, inputs, Versioned Reuse, and Organization-Wide Pipeline Building Blocks: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

CI/CD Components, Component Catalog, inputs, Versioned Reuse, and Organization-Wide Pipeline Building Blocks: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

CI/CD Components, Component Catalog, inputs, Versioned Reuse, and Organization-Wide Pipeline Building Blocks: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — CI/CD Components, Component Catalog, inputs, Versioned Reuse, and Organization-Wide Pipeline Building BlocksReserved in course structure

Planned

Chapter 14

Parent-Child Pipelines, Dynamic Child Pipelines, Generated Configuration, and Monorepo Decomposition

5 lessons

Parent-Child Pipelines, Dynamic Child Pipelines, Generated Configuration, and Monorepo Decomposition: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Parent-Child Pipelines, Dynamic Child Pipelines, Generated Configuration, and Monorepo Decomposition: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Parent-Child Pipelines, Dynamic Child Pipelines, Generated Configuration, and Monorepo Decomposition: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Parent-Child Pipelines, Dynamic Child Pipelines, Generated Configuration, and Monorepo Decomposition: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Parent-Child Pipelines, Dynamic Child Pipelines, Generated Configuration, and Monorepo DecompositionReserved in course structure

Planned

Chapter 15

Multi-Project Pipelines, Downstream Triggers, Cross-Project Dependencies, and Platform-Oriented Delivery

5 lessons

Multi-Project Pipelines, Downstream Triggers, Cross-Project Dependencies, and Platform-Oriented Delivery: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Multi-Project Pipelines, Downstream Triggers, Cross-Project Dependencies, and Platform-Oriented Delivery: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Multi-Project Pipelines, Downstream Triggers, Cross-Project Dependencies, and Platform-Oriented Delivery: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Multi-Project Pipelines, Downstream Triggers, Cross-Project Dependencies, and Platform-Oriented Delivery: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Multi-Project Pipelines, Downstream Triggers, Cross-Project Dependencies, and Platform-Oriented DeliveryReserved in course structure

Planned

Chapter 16

Merge Request Pipelines, Merged Results Pipelines, Merge Trains, and Pre-Merge Validation

5 lessons

Merge Request Pipelines, Merged Results Pipelines, Merge Trains, and Pre-Merge Validation: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Merge Request Pipelines, Merged Results Pipelines, Merge Trains, and Pre-Merge Validation: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Merge Request Pipelines, Merged Results Pipelines, Merge Trains, and Pre-Merge Validation: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Merge Request Pipelines, Merged Results Pipelines, Merge Trains, and Pre-Merge Validation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Merge Request Pipelines, Merged Results Pipelines, Merge Trains, and Pre-Merge ValidationReserved in course structure

Planned

Chapter 17

Parallel Jobs, parallel:matrix, Test Sharding, Fan-Out/Fan-In, and High-Throughput Pipeline Design

5 lessons

Parallel Jobs, parallel:matrix, Test Sharding, Fan-Out/Fan-In, and High-Throughput Pipeline Design: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Parallel Jobs, parallel:matrix, Test Sharding, Fan-Out/Fan-In, and High-Throughput Pipeline Design: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Parallel Jobs, parallel:matrix, Test Sharding, Fan-Out/Fan-In, and High-Throughput Pipeline Design: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Parallel Jobs, parallel:matrix, Test Sharding, Fan-Out/Fan-In, and High-Throughput Pipeline Design: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Parallel Jobs, parallel:matrix, Test Sharding, Fan-Out/Fan-In, and High-Throughput Pipeline DesignReserved in course structure

Planned

Chapter 18

Concurrency, resource_group, interruptible Jobs, Retry Policies, Timeouts, and Duplicate-Pipeline Control

5 lessons

Concurrency, resource_group, interruptible Jobs, Retry Policies, Timeouts, and Duplicate-Pipeline Control: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Concurrency, resource_group, interruptible Jobs, Retry Policies, Timeouts, and Duplicate-Pipeline Control: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Concurrency, resource_group, interruptible Jobs, Retry Policies, Timeouts, and Duplicate-Pipeline Control: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Concurrency, resource_group, interruptible Jobs, Retry Policies, Timeouts, and Duplicate-Pipeline Control: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Concurrency, resource_group, interruptible Jobs, Retry Policies, Timeouts, and Duplicate-Pipeline ControlReserved in course structure

Planned

Chapter 19

Environments, Deployments, Environment Tiers, URLs, Deployment History, and Operational Traceability

5 lessons

Environments, Deployments, Environment Tiers, URLs, Deployment History, and Operational Traceability: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Environments, Deployments, Environment Tiers, URLs, Deployment History, and Operational Traceability: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Environments, Deployments, Environment Tiers, URLs, Deployment History, and Operational Traceability: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Environments, Deployments, Environment Tiers, URLs, Deployment History, and Operational Traceability: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Environments, Deployments, Environment Tiers, URLs, Deployment History, and Operational TraceabilityReserved in course structure

Planned

Chapter 20

Review Apps, Dynamic Environments, Ephemeral Test Stacks, Route Maps, and Environment Cleanup

5 lessons

Review Apps, Dynamic Environments, Ephemeral Test Stacks, Route Maps, and Environment Cleanup: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Review Apps, Dynamic Environments, Ephemeral Test Stacks, Route Maps, and Environment Cleanup: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Review Apps, Dynamic Environments, Ephemeral Test Stacks, Route Maps, and Environment Cleanup: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Review Apps, Dynamic Environments, Ephemeral Test Stacks, Route Maps, and Environment Cleanup: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Review Apps, Dynamic Environments, Ephemeral Test Stacks, Route Maps, and Environment CleanupReserved in course structure

Planned

Chapter 21

Protected Environments, Deployment Approvals, Freeze Windows, Manual Gates, and Separation of Duties

5 lessons

Protected Environments, Deployment Approvals, Freeze Windows, Manual Gates, and Separation of Duties: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Protected Environments, Deployment Approvals, Freeze Windows, Manual Gates, and Separation of Duties: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Protected Environments, Deployment Approvals, Freeze Windows, Manual Gates, and Separation of Duties: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Protected Environments, Deployment Approvals, Freeze Windows, Manual Gates, and Separation of Duties: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Protected Environments, Deployment Approvals, Freeze Windows, Manual Gates, and Separation of DutiesReserved in course structure

Planned

Chapter 22

Tags, Releases, Release CLI, Changelogs, Evidence, Asset Links, and Release-Orchestration Pipelines

5 lessons

Tags, Releases, Release CLI, Changelogs, Evidence, Asset Links, and Release-Orchestration Pipelines: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Tags, Releases, Release CLI, Changelogs, Evidence, Asset Links, and Release-Orchestration Pipelines: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Tags, Releases, Release CLI, Changelogs, Evidence, Asset Links, and Release-Orchestration Pipelines: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Tags, Releases, Release CLI, Changelogs, Evidence, Asset Links, and Release-Orchestration Pipelines: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Tags, Releases, Release CLI, Changelogs, Evidence, Asset Links, and Release-Orchestration PipelinesReserved in course structure

Planned

Chapter 23

Container Registry, Package Registry, Generic Packages, Dependency Proxy, and Artifact Promotion

5 lessons

Container Registry, Package Registry, Generic Packages, Dependency Proxy, and Artifact Promotion: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Container Registry, Package Registry, Generic Packages, Dependency Proxy, and Artifact Promotion: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Container Registry, Package Registry, Generic Packages, Dependency Proxy, and Artifact Promotion: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Container Registry, Package Registry, Generic Packages, Dependency Proxy, and Artifact Promotion: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Container Registry, Package Registry, Generic Packages, Dependency Proxy, and Artifact PromotionReserved in course structure

Planned

Chapter 24

Test Reports, Coverage, JUnit, Code Quality, Browser Performance, Accessibility, and Pipeline Feedback

5 lessons

Test Reports, Coverage, JUnit, Code Quality, Browser Performance, Accessibility, and Pipeline Feedback: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Test Reports, Coverage, JUnit, Code Quality, Browser Performance, Accessibility, and Pipeline Feedback: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Test Reports, Coverage, JUnit, Code Quality, Browser Performance, Accessibility, and Pipeline Feedback: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Test Reports, Coverage, JUnit, Code Quality, Browser Performance, Accessibility, and Pipeline Feedback: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Test Reports, Coverage, JUnit, Code Quality, Browser Performance, Accessibility, and Pipeline FeedbackReserved in course structure

Planned

Chapter 25

SAST, Dependency Scanning, Secret Detection, Container Scanning, DAST, IaC Scanning, and Security Gates

5 lessons

SAST, Dependency Scanning, Secret Detection, Container Scanning, DAST, IaC Scanning, and Security Gates: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

SAST, Dependency Scanning, Secret Detection, Container Scanning, DAST, IaC Scanning, and Security Gates: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

SAST, Dependency Scanning, Secret Detection, Container Scanning, DAST, IaC Scanning, and Security Gates: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

SAST, Dependency Scanning, Secret Detection, Container Scanning, DAST, IaC Scanning, and Security Gates: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — SAST, Dependency Scanning, Secret Detection, Container Scanning, DAST, IaC Scanning, and Security GatesReserved in course structure

Planned

Chapter 26

SBOM Generation, Dependency Lists, Vulnerability Reports, Policy Evaluation, and Supply-Chain Evidence

5 lessons

SBOM Generation, Dependency Lists, Vulnerability Reports, Policy Evaluation, and Supply-Chain Evidence: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

SBOM Generation, Dependency Lists, Vulnerability Reports, Policy Evaluation, and Supply-Chain Evidence: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

SBOM Generation, Dependency Lists, Vulnerability Reports, Policy Evaluation, and Supply-Chain Evidence: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

SBOM Generation, Dependency Lists, Vulnerability Reports, Policy Evaluation, and Supply-Chain Evidence: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — SBOM Generation, Dependency Lists, Vulnerability Reports, Policy Evaluation, and Supply-Chain EvidenceReserved in course structure

Planned

Chapter 27

ID Tokens, OIDC Workload Identity, Cloud Federation, Vault Authentication, and Secretless Deployments

5 lessons

ID Tokens, OIDC Workload Identity, Cloud Federation, Vault Authentication, and Secretless Deployments: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

ID Tokens, OIDC Workload Identity, Cloud Federation, Vault Authentication, and Secretless Deployments: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

ID Tokens, OIDC Workload Identity, Cloud Federation, Vault Authentication, and Secretless Deployments: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

ID Tokens, OIDC Workload Identity, Cloud Federation, Vault Authentication, and Secretless Deployments: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — ID Tokens, OIDC Workload Identity, Cloud Federation, Vault Authentication, and Secretless DeploymentsReserved in course structure

Planned

Chapter 28

Kubernetes Agent, Cluster Access, GitOps-Oriented Delivery, Kubernetes Deployments, and Environment Integration

5 lessons

Kubernetes Agent, Cluster Access, GitOps-Oriented Delivery, Kubernetes Deployments, and Environment Integration: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Kubernetes Agent, Cluster Access, GitOps-Oriented Delivery, Kubernetes Deployments, and Environment Integration: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Kubernetes Agent, Cluster Access, GitOps-Oriented Delivery, Kubernetes Deployments, and Environment Integration: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Kubernetes Agent, Cluster Access, GitOps-Oriented Delivery, Kubernetes Deployments, and Environment Integration: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Kubernetes Agent, Cluster Access, GitOps-Oriented Delivery, Kubernetes Deployments, and Environment IntegrationReserved in course structure

Planned

Chapter 29

Infrastructure-as-Code Pipelines, Terraform/OpenTofu Workflows, Plan Reviews, State Safety, and Drift Controls

5 lessons

Infrastructure-as-Code Pipelines, Terraform/OpenTofu Workflows, Plan Reviews, State Safety, and Drift Controls: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Infrastructure-as-Code Pipelines, Terraform/OpenTofu Workflows, Plan Reviews, State Safety, and Drift Controls: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Infrastructure-as-Code Pipelines, Terraform/OpenTofu Workflows, Plan Reviews, State Safety, and Drift Controls: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Infrastructure-as-Code Pipelines, Terraform/OpenTofu Workflows, Plan Reviews, State Safety, and Drift Controls: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Infrastructure-as-Code Pipelines, Terraform/OpenTofu Workflows, Plan Reviews, State Safety, and Drift ControlsReserved in course structure

Planned

Chapter 30

Runner Fleets, Autoscaling, Docker Machine Migration, Kubernetes Runners, Ephemeral Workers, and Capacity Planning

5 lessons

Runner Fleets, Autoscaling, Docker Machine Migration, Kubernetes Runners, Ephemeral Workers, and Capacity Planning: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Runner Fleets, Autoscaling, Docker Machine Migration, Kubernetes Runners, Ephemeral Workers, and Capacity Planning: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Runner Fleets, Autoscaling, Docker Machine Migration, Kubernetes Runners, Ephemeral Workers, and Capacity Planning: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Runner Fleets, Autoscaling, Docker Machine Migration, Kubernetes Runners, Ephemeral Workers, and Capacity Planning: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Runner Fleets, Autoscaling, Docker Machine Migration, Kubernetes Runners, Ephemeral Workers, and Capacity PlanningReserved in course structure

Planned

Chapter 31

Runner Security, Isolation Boundaries, Privileged Containers, Fork Pipelines, Untrusted Code, and Threat Modeling

5 lessons

Runner Security, Isolation Boundaries, Privileged Containers, Fork Pipelines, Untrusted Code, and Threat Modeling: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Runner Security, Isolation Boundaries, Privileged Containers, Fork Pipelines, Untrusted Code, and Threat Modeling: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Runner Security, Isolation Boundaries, Privileged Containers, Fork Pipelines, Untrusted Code, and Threat Modeling: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Runner Security, Isolation Boundaries, Privileged Containers, Fork Pipelines, Untrusted Code, and Threat Modeling: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Runner Security, Isolation Boundaries, Privileged Containers, Fork Pipelines, Untrusted Code, and Threat ModelingReserved in course structure

Planned

Chapter 32

Pipeline Supply-Chain Security, Dependency Pinning, Image Digests, Signing, Provenance, and Trusted Builders

5 lessons

Pipeline Supply-Chain Security, Dependency Pinning, Image Digests, Signing, Provenance, and Trusted Builders: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Pipeline Supply-Chain Security, Dependency Pinning, Image Digests, Signing, Provenance, and Trusted Builders: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Pipeline Supply-Chain Security, Dependency Pinning, Image Digests, Signing, Provenance, and Trusted Builders: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Pipeline Supply-Chain Security, Dependency Pinning, Image Digests, Signing, Provenance, and Trusted Builders: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Pipeline Supply-Chain Security, Dependency Pinning, Image Digests, Signing, Provenance, and Trusted BuildersReserved in course structure

Planned

Chapter 33

Pipeline Schedules, Trigger Tokens, Pipeline API, Webhooks, ChatOps, and Event-Driven Automation

5 lessons

Pipeline Schedules, Trigger Tokens, Pipeline API, Webhooks, ChatOps, and Event-Driven Automation: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Pipeline Schedules, Trigger Tokens, Pipeline API, Webhooks, ChatOps, and Event-Driven Automation: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Pipeline Schedules, Trigger Tokens, Pipeline API, Webhooks, ChatOps, and Event-Driven Automation: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Pipeline Schedules, Trigger Tokens, Pipeline API, Webhooks, ChatOps, and Event-Driven Automation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Pipeline Schedules, Trigger Tokens, Pipeline API, Webhooks, ChatOps, and Event-Driven AutomationReserved in course structure

Planned

Chapter 34

CI/CD Analytics, Job Logs, Runner Metrics, Queue Time, Failure Taxonomy, and Observability

5 lessons

CI/CD Analytics, Job Logs, Runner Metrics, Queue Time, Failure Taxonomy, and Observability: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

CI/CD Analytics, Job Logs, Runner Metrics, Queue Time, Failure Taxonomy, and Observability: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

CI/CD Analytics, Job Logs, Runner Metrics, Queue Time, Failure Taxonomy, and Observability: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

CI/CD Analytics, Job Logs, Runner Metrics, Queue Time, Failure Taxonomy, and Observability: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — CI/CD Analytics, Job Logs, Runner Metrics, Queue Time, Failure Taxonomy, and ObservabilityReserved in course structure

Planned

Chapter 35

Pipeline Performance, Cost Control, Caching Strategy, Queue Reduction, Selective Execution, and Optimization

5 lessons

Pipeline Performance, Cost Control, Caching Strategy, Queue Reduction, Selective Execution, and Optimization: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Pipeline Performance, Cost Control, Caching Strategy, Queue Reduction, Selective Execution, and Optimization: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Pipeline Performance, Cost Control, Caching Strategy, Queue Reduction, Selective Execution, and Optimization: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Pipeline Performance, Cost Control, Caching Strategy, Queue Reduction, Selective Execution, and Optimization: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Pipeline Performance, Cost Control, Caching Strategy, Queue Reduction, Selective Execution, and OptimizationReserved in course structure

Planned

Chapter 36

Compliance Pipelines, Pipeline Execution Policies, Governance, Audit Evidence, and Enterprise Controls

5 lessons

Compliance Pipelines, Pipeline Execution Policies, Governance, Audit Evidence, and Enterprise Controls: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Compliance Pipelines, Pipeline Execution Policies, Governance, Audit Evidence, and Enterprise Controls: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Compliance Pipelines, Pipeline Execution Policies, Governance, Audit Evidence, and Enterprise Controls: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Compliance Pipelines, Pipeline Execution Policies, Governance, Audit Evidence, and Enterprise Controls: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Compliance Pipelines, Pipeline Execution Policies, Governance, Audit Evidence, and Enterprise ControlsReserved in course structure

Planned

Chapter 37

Pipeline Troubleshooting, YAML Debugging, Runner Failures, Network Issues, Flaky Jobs, and Recovery Playbooks

5 lessons

Pipeline Troubleshooting, YAML Debugging, Runner Failures, Network Issues, Flaky Jobs, and Recovery Playbooks: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Pipeline Troubleshooting, YAML Debugging, Runner Failures, Network Issues, Flaky Jobs, and Recovery Playbooks: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Pipeline Troubleshooting, YAML Debugging, Runner Failures, Network Issues, Flaky Jobs, and Recovery Playbooks: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Pipeline Troubleshooting, YAML Debugging, Runner Failures, Network Issues, Flaky Jobs, and Recovery Playbooks: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Pipeline Troubleshooting, YAML Debugging, Runner Failures, Network Issues, Flaky Jobs, and Recovery PlaybooksReserved in course structure

Planned

Chapter 38

Production Capstone: Build, Secure, Scale, Observe, and Govern a Complete GitLab Delivery Platform

5 lessons

Production Capstone: Build, Secure, Scale, Observe, and Govern a Complete GitLab Delivery Platform: Requirements, Constraints, and Target ArchitectureReserved in course structure

Planned

Production Capstone: Build, Secure, Scale, Observe, and Govern a Complete GitLab Delivery Platform: Implementation and Automation Build-OutReserved in course structure

Planned

Production Capstone: Build, Secure, Scale, Observe, and Govern a Complete GitLab Delivery Platform: Security, Governance, and Reliability ValidationReserved in course structure

Planned

Production Capstone: Build, Secure, Scale, Observe, and Govern a Complete GitLab Delivery Platform: Failure Injection, Troubleshooting, and Recovery DrillReserved in course structure

Planned

Production Capstone: Build, Secure, Scale, Observe, and Govern a Complete GitLab Delivery Platform: Final Operational Review and HandoffReserved in course structure

Planned

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GitLab CI/CD Complete Course

A production-grade GitLab CI/CD curriculum for secure, scalable software delivery.

You will be able to

38 chapters in prerequisite order.

Continuous Integration and Delivery Foundations, GitLab Pipeline Architecture, and Delivery Flow

.gitlab-ci.yml Structure, Pipeline Compilation, Keywords, Defaults, and Configuration Validation

Jobs, Stages, Scripts, Images, Services, before_script, after_script, and Exit Behavior

GitLab Runner Architecture, Registration, Runner Managers, Job Execution, and Lifecycle

Runner Executors: Shell, Docker, Docker Autoscaler, Kubernetes, SSH, and Custom Execution Models

CI/CD Variables, Predefined Variables, File Variables, Masking, Protection, Expansion, and Precedence

Secrets Management, External Secret Providers, Protected Data, Rotation, and Least-Privilege Patterns

workflow:rules, Job rules, if Expressions, changes, exists, Pipeline Sources, and Conditional Execution

Stages, needs DAGs, Dependency Graphs, Early Execution, and Pipeline Critical-Path Design

Artifacts, Reports, Retention, Dependencies, needs:artifacts, and Cross-Job Data Flow

Caches, Cache Keys, Fallback Keys, Distributed Cache, Dependency Reuse, and Cache Correctness

YAML Reuse with include, extends, Anchors, !reference, Hidden Jobs, and Template Architecture

CI/CD Components, Component Catalog, inputs, Versioned Reuse, and Organization-Wide Pipeline Building Blocks

Parent-Child Pipelines, Dynamic Child Pipelines, Generated Configuration, and Monorepo Decomposition

Multi-Project Pipelines, Downstream Triggers, Cross-Project Dependencies, and Platform-Oriented Delivery

Merge Request Pipelines, Merged Results Pipelines, Merge Trains, and Pre-Merge Validation

Parallel Jobs, parallel:matrix, Test Sharding, Fan-Out/Fan-In, and High-Throughput Pipeline Design

Concurrency, resource_group, interruptible Jobs, Retry Policies, Timeouts, and Duplicate-Pipeline Control

Environments, Deployments, Environment Tiers, URLs, Deployment History, and Operational Traceability

Review Apps, Dynamic Environments, Ephemeral Test Stacks, Route Maps, and Environment Cleanup

Protected Environments, Deployment Approvals, Freeze Windows, Manual Gates, and Separation of Duties

Tags, Releases, Release CLI, Changelogs, Evidence, Asset Links, and Release-Orchestration Pipelines

Container Registry, Package Registry, Generic Packages, Dependency Proxy, and Artifact Promotion

Test Reports, Coverage, JUnit, Code Quality, Browser Performance, Accessibility, and Pipeline Feedback

SAST, Dependency Scanning, Secret Detection, Container Scanning, DAST, IaC Scanning, and Security Gates

SBOM Generation, Dependency Lists, Vulnerability Reports, Policy Evaluation, and Supply-Chain Evidence

ID Tokens, OIDC Workload Identity, Cloud Federation, Vault Authentication, and Secretless Deployments

Kubernetes Agent, Cluster Access, GitOps-Oriented Delivery, Kubernetes Deployments, and Environment Integration

Infrastructure-as-Code Pipelines, Terraform/OpenTofu Workflows, Plan Reviews, State Safety, and Drift Controls

Runner Fleets, Autoscaling, Docker Machine Migration, Kubernetes Runners, Ephemeral Workers, and Capacity Planning

Runner Security, Isolation Boundaries, Privileged Containers, Fork Pipelines, Untrusted Code, and Threat Modeling

Pipeline Supply-Chain Security, Dependency Pinning, Image Digests, Signing, Provenance, and Trusted Builders

Pipeline Schedules, Trigger Tokens, Pipeline API, Webhooks, ChatOps, and Event-Driven Automation

CI/CD Analytics, Job Logs, Runner Metrics, Queue Time, Failure Taxonomy, and Observability

Pipeline Performance, Cost Control, Caching Strategy, Queue Reduction, Selective Execution, and Optimization

Compliance Pipelines, Pipeline Execution Policies, Governance, Audit Evidence, and Enterprise Controls

Pipeline Troubleshooting, YAML Debugging, Runner Failures, Network Issues, Flaky Jobs, and Recovery Playbooks

Production Capstone: Build, Secure, Scale, Observe, and Govern a Complete GitLab Delivery Platform

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