Course structure available

Stage 05 · Continuous Integration & Delivery

Jenkins Complete Course

Learn Jenkins as an automation platform from controller and agent fundamentals through Pipeline-as-Code, shared libraries, dynamic workers, configuration as code, security, resilience, upgrades, and enterprise operations.

Browse curriculum View all chapters

JNK

41chapters

205lessons

Intermediatestarting level

Hands-onlearning mode

Course stateCurriculum ready

Course brief

A complete Jenkins curriculum for reliable Pipeline-as-Code and production automation.

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

Install, secure, configure, and operate a modern Jenkins controller and agent fleet
Author Declarative and Scripted Pipelines with reusable libraries and resilient execution patterns
Run workloads on static, Docker, and Kubernetes agents while managing credentials safely
Automate Jenkins configuration with JCasC, Job DSL, APIs, and repeatable infrastructure practices
Monitor, tune, upgrade, back up, recover, and troubleshoot Jenkins in production

Complete syllabus

41 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

Jenkins and CI/CD Foundations, Controller-Agent Architecture, Jobs, Builds, and Automation Boundaries

5 lessons

Jenkins and CI/CD Foundations, Controller-Agent Architecture, Jobs, Builds, and Automation Boundaries: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Jenkins and CI/CD Foundations, Controller-Agent Architecture, Jobs, Builds, and Automation Boundaries: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Jenkins and CI/CD Foundations, Controller-Agent Architecture, Jobs, Builds, and Automation Boundaries: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Jenkins and CI/CD Foundations, Controller-Agent Architecture, Jobs, Builds, and Automation Boundaries: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Jenkins and CI/CD Foundations, Controller-Agent Architecture, Jobs, Builds, and Automation BoundariesReserved in course structure

Planned

Chapter 2

Jenkins LTS Installation, Java 21/25 Runtime Planning, Packages, Containers, and Initial Setup

5 lessons

Jenkins LTS Installation, Java 21/25 Runtime Planning, Packages, Containers, and Initial Setup: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Jenkins LTS Installation, Java 21/25 Runtime Planning, Packages, Containers, and Initial Setup: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Jenkins LTS Installation, Java 21/25 Runtime Planning, Packages, Containers, and Initial Setup: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Jenkins LTS Installation, Java 21/25 Runtime Planning, Packages, Containers, and Initial Setup: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Jenkins LTS Installation, Java 21/25 Runtime Planning, Packages, Containers, and Initial SetupReserved in course structure

Planned

Chapter 3

JENKINS_HOME, Filesystem Layout, Controller Configuration, System Settings, Tools, and Global Properties

5 lessons

JENKINS_HOME, Filesystem Layout, Controller Configuration, System Settings, Tools, and Global Properties: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

JENKINS_HOME, Filesystem Layout, Controller Configuration, System Settings, Tools, and Global Properties: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

JENKINS_HOME, Filesystem Layout, Controller Configuration, System Settings, Tools, and Global Properties: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

JENKINS_HOME, Filesystem Layout, Controller Configuration, System Settings, Tools, and Global Properties: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — JENKINS_HOME, Filesystem Layout, Controller Configuration, System Settings, Tools, and Global PropertiesReserved in course structure

Planned

Chapter 4

Users, Authentication Realms, Authorization Strategies, Matrix Permissions, Folders, and Least Privilege

5 lessons

Users, Authentication Realms, Authorization Strategies, Matrix Permissions, Folders, and Least Privilege: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Users, Authentication Realms, Authorization Strategies, Matrix Permissions, Folders, and Least Privilege: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Users, Authentication Realms, Authorization Strategies, Matrix Permissions, Folders, and Least Privilege: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Users, Authentication Realms, Authorization Strategies, Matrix Permissions, Folders, and Least Privilege: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Users, Authentication Realms, Authorization Strategies, Matrix Permissions, Folders, and Least PrivilegeReserved in course structure

Planned

Chapter 5

Freestyle Projects, Build Steps, Post-Build Actions, Parameters, Triggers, and Legacy Job Maintenance

5 lessons

Freestyle Projects, Build Steps, Post-Build Actions, Parameters, Triggers, and Legacy Job Maintenance: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Freestyle Projects, Build Steps, Post-Build Actions, Parameters, Triggers, and Legacy Job Maintenance: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Freestyle Projects, Build Steps, Post-Build Actions, Parameters, Triggers, and Legacy Job Maintenance: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Freestyle Projects, Build Steps, Post-Build Actions, Parameters, Triggers, and Legacy Job Maintenance: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Freestyle Projects, Build Steps, Post-Build Actions, Parameters, Triggers, and Legacy Job MaintenanceReserved in course structure

Planned

Chapter 6

Source Control Integration, Git Plugin, Credentials, Polling, Webhooks, and Multirepository Checkout

5 lessons

Source Control Integration, Git Plugin, Credentials, Polling, Webhooks, and Multirepository Checkout: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Source Control Integration, Git Plugin, Credentials, Polling, Webhooks, and Multirepository Checkout: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Source Control Integration, Git Plugin, Credentials, Polling, Webhooks, and Multirepository Checkout: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Source Control Integration, Git Plugin, Credentials, Polling, Webhooks, and Multirepository Checkout: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Source Control Integration, Git Plugin, Credentials, Polling, Webhooks, and Multirepository CheckoutReserved in course structure

Planned

Chapter 7

Build Parameters, Environment Variables, Build Causes, Schedules, Remote Triggers, and Parameterized Automation

5 lessons

Build Parameters, Environment Variables, Build Causes, Schedules, Remote Triggers, and Parameterized Automation: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Build Parameters, Environment Variables, Build Causes, Schedules, Remote Triggers, and Parameterized Automation: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Build Parameters, Environment Variables, Build Causes, Schedules, Remote Triggers, and Parameterized Automation: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Build Parameters, Environment Variables, Build Causes, Schedules, Remote Triggers, and Parameterized Automation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Build Parameters, Environment Variables, Build Causes, Schedules, Remote Triggers, and Parameterized AutomationReserved in course structure

Planned

Chapter 8

Tool Installations, JDKs, Maven, Gradle, Node.js, Docker CLI, and Reproducible Build Environments

5 lessons

Tool Installations, JDKs, Maven, Gradle, Node.js, Docker CLI, and Reproducible Build Environments: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Tool Installations, JDKs, Maven, Gradle, Node.js, Docker CLI, and Reproducible Build Environments: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Tool Installations, JDKs, Maven, Gradle, Node.js, Docker CLI, and Reproducible Build Environments: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Tool Installations, JDKs, Maven, Gradle, Node.js, Docker CLI, and Reproducible Build Environments: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Tool Installations, JDKs, Maven, Gradle, Node.js, Docker CLI, and Reproducible Build EnvironmentsReserved in course structure

Planned

Chapter 9

Pipeline Fundamentals, Jenkinsfile, Pipeline Engine, Durable Execution, Nodes, Workspaces, and Stages

5 lessons

Pipeline Fundamentals, Jenkinsfile, Pipeline Engine, Durable Execution, Nodes, Workspaces, and Stages: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Pipeline Fundamentals, Jenkinsfile, Pipeline Engine, Durable Execution, Nodes, Workspaces, and Stages: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Pipeline Fundamentals, Jenkinsfile, Pipeline Engine, Durable Execution, Nodes, Workspaces, and Stages: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Pipeline Fundamentals, Jenkinsfile, Pipeline Engine, Durable Execution, Nodes, Workspaces, and Stages: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Pipeline Fundamentals, Jenkinsfile, Pipeline Engine, Durable Execution, Nodes, Workspaces, and StagesReserved in course structure

Planned

Chapter 10

Declarative Pipeline Syntax, agent, stages, steps, options, parameters, environment, tools, and post

5 lessons

Declarative Pipeline Syntax, agent, stages, steps, options, parameters, environment, tools, and post: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Declarative Pipeline Syntax, agent, stages, steps, options, parameters, environment, tools, and post: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Declarative Pipeline Syntax, agent, stages, steps, options, parameters, environment, tools, and post: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Declarative Pipeline Syntax, agent, stages, steps, options, parameters, environment, tools, and post: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Declarative Pipeline Syntax, agent, stages, steps, options, parameters, environment, tools, and postReserved in course structure

Planned

Chapter 11

Scripted Pipeline, Groovy Control Flow, node Blocks, Dynamic Logic, and When to Use Scripted Pipelines

5 lessons

Scripted Pipeline, Groovy Control Flow, node Blocks, Dynamic Logic, and When to Use Scripted Pipelines: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Scripted Pipeline, Groovy Control Flow, node Blocks, Dynamic Logic, and When to Use Scripted Pipelines: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Scripted Pipeline, Groovy Control Flow, node Blocks, Dynamic Logic, and When to Use Scripted Pipelines: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Scripted Pipeline, Groovy Control Flow, node Blocks, Dynamic Logic, and When to Use Scripted Pipelines: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Scripted Pipeline, Groovy Control Flow, node Blocks, Dynamic Logic, and When to Use Scripted PipelinesReserved in course structure

Planned

Chapter 12

Pipeline Steps, Error Handling, retry, timeout, catchError, input, waitUntil, and Resilient Flow Control

5 lessons

Pipeline Steps, Error Handling, retry, timeout, catchError, input, waitUntil, and Resilient Flow Control: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Pipeline Steps, Error Handling, retry, timeout, catchError, input, waitUntil, and Resilient Flow Control: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Pipeline Steps, Error Handling, retry, timeout, catchError, input, waitUntil, and Resilient Flow Control: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Pipeline Steps, Error Handling, retry, timeout, catchError, input, waitUntil, and Resilient Flow Control: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Pipeline Steps, Error Handling, retry, timeout, catchError, input, waitUntil, and Resilient Flow ControlReserved in course structure

Planned

Chapter 13

Groovy CPS, Serialization, @NonCPS, Pipeline State, Restarts, and Common Pipeline Programming Pitfalls

5 lessons

Groovy CPS, Serialization, @NonCPS, Pipeline State, Restarts, and Common Pipeline Programming Pitfalls: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Groovy CPS, Serialization, @NonCPS, Pipeline State, Restarts, and Common Pipeline Programming Pitfalls: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Groovy CPS, Serialization, @NonCPS, Pipeline State, Restarts, and Common Pipeline Programming Pitfalls: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Groovy CPS, Serialization, @NonCPS, Pipeline State, Restarts, and Common Pipeline Programming Pitfalls: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Groovy CPS, Serialization, @NonCPS, Pipeline State, Restarts, and Common Pipeline Programming PitfallsReserved in course structure

Planned

Chapter 14

Artifacts, stash/unstash, archiveArtifacts, Fingerprints, Test Reports, Coverage, and Build Evidence

5 lessons

Artifacts, stash/unstash, archiveArtifacts, Fingerprints, Test Reports, Coverage, and Build Evidence: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Artifacts, stash/unstash, archiveArtifacts, Fingerprints, Test Reports, Coverage, and Build Evidence: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Artifacts, stash/unstash, archiveArtifacts, Fingerprints, Test Reports, Coverage, and Build Evidence: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Artifacts, stash/unstash, archiveArtifacts, Fingerprints, Test Reports, Coverage, and Build Evidence: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Artifacts, stash/unstash, archiveArtifacts, Fingerprints, Test Reports, Coverage, and Build EvidenceReserved in course structure

Planned

Chapter 15

Credentials Store, Secret Text, Files, SSH Keys, Username/Password, Binding, and Secret Hygiene

5 lessons

Credentials Store, Secret Text, Files, SSH Keys, Username/Password, Binding, and Secret Hygiene: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Credentials Store, Secret Text, Files, SSH Keys, Username/Password, Binding, and Secret Hygiene: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Credentials Store, Secret Text, Files, SSH Keys, Username/Password, Binding, and Secret Hygiene: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Credentials Store, Secret Text, Files, SSH Keys, Username/Password, Binding, and Secret Hygiene: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Credentials Store, Secret Text, Files, SSH Keys, Username/Password, Binding, and Secret HygieneReserved in course structure

Planned

Chapter 16

Secret Masking Limits, Credentials Scope, External Secret Providers, Vault Integration, and Rotation Patterns

5 lessons

Secret Masking Limits, Credentials Scope, External Secret Providers, Vault Integration, and Rotation Patterns: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Secret Masking Limits, Credentials Scope, External Secret Providers, Vault Integration, and Rotation Patterns: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Secret Masking Limits, Credentials Scope, External Secret Providers, Vault Integration, and Rotation Patterns: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Secret Masking Limits, Credentials Scope, External Secret Providers, Vault Integration, and Rotation Patterns: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Secret Masking Limits, Credentials Scope, External Secret Providers, Vault Integration, and Rotation PatternsReserved in course structure

Planned

Chapter 17

Nodes, Agents, Labels, Executors, Workspaces, Offline Causes, and Agent Capacity Design

5 lessons

Nodes, Agents, Labels, Executors, Workspaces, Offline Causes, and Agent Capacity Design: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Nodes, Agents, Labels, Executors, Workspaces, Offline Causes, and Agent Capacity Design: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Nodes, Agents, Labels, Executors, Workspaces, Offline Causes, and Agent Capacity Design: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Nodes, Agents, Labels, Executors, Workspaces, Offline Causes, and Agent Capacity Design: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Nodes, Agents, Labels, Executors, Workspaces, Offline Causes, and Agent Capacity DesignReserved in course structure

Planned

Chapter 18

SSH, Inbound, WebSocket, Windows, and Ephemeral Agents: Connectivity, Remoting, and Agent Lifecycle

5 lessons

SSH, Inbound, WebSocket, Windows, and Ephemeral Agents: Connectivity, Remoting, and Agent Lifecycle: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

SSH, Inbound, WebSocket, Windows, and Ephemeral Agents: Connectivity, Remoting, and Agent Lifecycle: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

SSH, Inbound, WebSocket, Windows, and Ephemeral Agents: Connectivity, Remoting, and Agent Lifecycle: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

SSH, Inbound, WebSocket, Windows, and Ephemeral Agents: Connectivity, Remoting, and Agent Lifecycle: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — SSH, Inbound, WebSocket, Windows, and Ephemeral Agents: Connectivity, Remoting, and Agent LifecycleReserved in course structure

Planned

Chapter 19

Docker Pipeline, Containerized Build Steps, Docker Agents, Sidecars, Registries, and Image Workflows

5 lessons

Docker Pipeline, Containerized Build Steps, Docker Agents, Sidecars, Registries, and Image Workflows: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Docker Pipeline, Containerized Build Steps, Docker Agents, Sidecars, Registries, and Image Workflows: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Docker Pipeline, Containerized Build Steps, Docker Agents, Sidecars, Registries, and Image Workflows: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Docker Pipeline, Containerized Build Steps, Docker Agents, Sidecars, Registries, and Image Workflows: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Docker Pipeline, Containerized Build Steps, Docker Agents, Sidecars, Registries, and Image WorkflowsReserved in course structure

Planned

Chapter 20

Kubernetes Plugin, Pod Templates, Dynamic Kubernetes Agents, Volumes, Service Accounts, and Cluster Scaling

5 lessons

Kubernetes Plugin, Pod Templates, Dynamic Kubernetes Agents, Volumes, Service Accounts, and Cluster Scaling: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Kubernetes Plugin, Pod Templates, Dynamic Kubernetes Agents, Volumes, Service Accounts, and Cluster Scaling: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Kubernetes Plugin, Pod Templates, Dynamic Kubernetes Agents, Volumes, Service Accounts, and Cluster Scaling: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Kubernetes Plugin, Pod Templates, Dynamic Kubernetes Agents, Volumes, Service Accounts, and Cluster Scaling: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Kubernetes Plugin, Pod Templates, Dynamic Kubernetes Agents, Volumes, Service Accounts, and Cluster ScalingReserved in course structure

Planned

Chapter 21

Parallel Stages, Matrix Builds, Fail-Fast Behavior, Test Sharding, and High-Throughput Pipeline Design

5 lessons

Parallel Stages, Matrix Builds, Fail-Fast Behavior, Test Sharding, and High-Throughput Pipeline Design: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Parallel Stages, Matrix Builds, Fail-Fast Behavior, Test Sharding, and High-Throughput Pipeline Design: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Parallel Stages, Matrix Builds, Fail-Fast Behavior, Test Sharding, and High-Throughput Pipeline Design: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Parallel Stages, Matrix Builds, Fail-Fast Behavior, Test Sharding, and High-Throughput Pipeline Design: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Parallel Stages, Matrix Builds, Fail-Fast Behavior, Test Sharding, and High-Throughput Pipeline DesignReserved in course structure

Planned

Chapter 22

Multibranch Pipelines, Branch Sources, Pull Request Discovery, Jenkinsfile Trust, and Branch Indexing

5 lessons

Multibranch Pipelines, Branch Sources, Pull Request Discovery, Jenkinsfile Trust, and Branch Indexing: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Multibranch Pipelines, Branch Sources, Pull Request Discovery, Jenkinsfile Trust, and Branch Indexing: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Multibranch Pipelines, Branch Sources, Pull Request Discovery, Jenkinsfile Trust, and Branch Indexing: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Multibranch Pipelines, Branch Sources, Pull Request Discovery, Jenkinsfile Trust, and Branch Indexing: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Multibranch Pipelines, Branch Sources, Pull Request Discovery, Jenkinsfile Trust, and Branch IndexingReserved in course structure

Planned

Chapter 23

Organization Folders, GitHub/GitLab/Bitbucket Discovery, Repository Onboarding, and Platform Automation

5 lessons

Organization Folders, GitHub/GitLab/Bitbucket Discovery, Repository Onboarding, and Platform Automation: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Organization Folders, GitHub/GitLab/Bitbucket Discovery, Repository Onboarding, and Platform Automation: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Organization Folders, GitHub/GitLab/Bitbucket Discovery, Repository Onboarding, and Platform Automation: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Organization Folders, GitHub/GitLab/Bitbucket Discovery, Repository Onboarding, and Platform Automation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Organization Folders, GitHub/GitLab/Bitbucket Discovery, Repository Onboarding, and Platform AutomationReserved in course structure

Planned

Chapter 24

Shared Libraries, Global Variables, vars, src, resources, Versioning, Testing, and Pipeline Product Design

5 lessons

Shared Libraries, Global Variables, vars, src, resources, Versioning, Testing, and Pipeline Product Design: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Shared Libraries, Global Variables, vars, src, resources, Versioning, Testing, and Pipeline Product Design: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Shared Libraries, Global Variables, vars, src, resources, Versioning, Testing, and Pipeline Product Design: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Shared Libraries, Global Variables, vars, src, resources, Versioning, Testing, and Pipeline Product Design: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Shared Libraries, Global Variables, vars, src, resources, Versioning, Testing, and Pipeline Product DesignReserved in course structure

Planned

Chapter 25

Plugin Ecosystem, Plugin Dependencies, Update Center, Compatibility, Pinning, Removal, and Plugin Governance

5 lessons

Plugin Ecosystem, Plugin Dependencies, Update Center, Compatibility, Pinning, Removal, and Plugin Governance: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Plugin Ecosystem, Plugin Dependencies, Update Center, Compatibility, Pinning, Removal, and Plugin Governance: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Plugin Ecosystem, Plugin Dependencies, Update Center, Compatibility, Pinning, Removal, and Plugin Governance: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Plugin Ecosystem, Plugin Dependencies, Update Center, Compatibility, Pinning, Removal, and Plugin Governance: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Plugin Ecosystem, Plugin Dependencies, Update Center, Compatibility, Pinning, Removal, and Plugin GovernanceReserved in course structure

Planned

Chapter 26

Jenkins Configuration as Code, YAML Bundles, Secrets, Reloading, Validation, and Git-Managed Controller State

5 lessons

Jenkins Configuration as Code, YAML Bundles, Secrets, Reloading, Validation, and Git-Managed Controller State: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Jenkins Configuration as Code, YAML Bundles, Secrets, Reloading, Validation, and Git-Managed Controller State: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Jenkins Configuration as Code, YAML Bundles, Secrets, Reloading, Validation, and Git-Managed Controller State: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Jenkins Configuration as Code, YAML Bundles, Secrets, Reloading, Validation, and Git-Managed Controller State: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Jenkins Configuration as Code, YAML Bundles, Secrets, Reloading, Validation, and Git-Managed Controller StateReserved in course structure

Planned

Chapter 27

Job DSL, Seed Jobs, Folder Hierarchies, Programmatic Job Creation, and Jenkins API Automation

5 lessons

Job DSL, Seed Jobs, Folder Hierarchies, Programmatic Job Creation, and Jenkins API Automation: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Job DSL, Seed Jobs, Folder Hierarchies, Programmatic Job Creation, and Jenkins API Automation: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Job DSL, Seed Jobs, Folder Hierarchies, Programmatic Job Creation, and Jenkins API Automation: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Job DSL, Seed Jobs, Folder Hierarchies, Programmatic Job Creation, and Jenkins API Automation: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Job DSL, Seed Jobs, Folder Hierarchies, Programmatic Job Creation, and Jenkins API AutomationReserved in course structure

Planned

Chapter 28

REST API, CLI, Script Console, Groovy Administration, Safe Automation, and Administrative Guardrails

5 lessons

REST API, CLI, Script Console, Groovy Administration, Safe Automation, and Administrative Guardrails: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

REST API, CLI, Script Console, Groovy Administration, Safe Automation, and Administrative Guardrails: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

REST API, CLI, Script Console, Groovy Administration, Safe Automation, and Administrative Guardrails: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

REST API, CLI, Script Console, Groovy Administration, Safe Automation, and Administrative Guardrails: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — REST API, CLI, Script Console, Groovy Administration, Safe Automation, and Administrative GuardrailsReserved in course structure

Planned

Chapter 29

Security Hardening, CSRF, Agent-to-Controller Controls, Script Security, CSP, TLS, and Reverse Proxies

5 lessons

Security Hardening, CSRF, Agent-to-Controller Controls, Script Security, CSP, TLS, and Reverse Proxies: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Security Hardening, CSRF, Agent-to-Controller Controls, Script Security, CSP, TLS, and Reverse Proxies: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Security Hardening, CSRF, Agent-to-Controller Controls, Script Security, CSP, TLS, and Reverse Proxies: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Security Hardening, CSRF, Agent-to-Controller Controls, Script Security, CSP, TLS, and Reverse Proxies: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Security Hardening, CSRF, Agent-to-Controller Controls, Script Security, CSP, TLS, and Reverse ProxiesReserved in course structure

Planned

Chapter 30

SSO, LDAP, OIDC/SAML Plugins, External Identity, RBAC Patterns, and Enterprise Access Governance

5 lessons

SSO, LDAP, OIDC/SAML Plugins, External Identity, RBAC Patterns, and Enterprise Access Governance: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

SSO, LDAP, OIDC/SAML Plugins, External Identity, RBAC Patterns, and Enterprise Access Governance: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

SSO, LDAP, OIDC/SAML Plugins, External Identity, RBAC Patterns, and Enterprise Access Governance: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

SSO, LDAP, OIDC/SAML Plugins, External Identity, RBAC Patterns, and Enterprise Access Governance: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — SSO, LDAP, OIDC/SAML Plugins, External Identity, RBAC Patterns, and Enterprise Access GovernanceReserved in course structure

Planned

Chapter 31

Software Supply-Chain Security, SBOMs, Signatures, Provenance, Trusted Agents, and Dependency Controls

5 lessons

Software Supply-Chain Security, SBOMs, Signatures, Provenance, Trusted Agents, and Dependency Controls: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Software Supply-Chain Security, SBOMs, Signatures, Provenance, Trusted Agents, and Dependency Controls: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Software Supply-Chain Security, SBOMs, Signatures, Provenance, Trusted Agents, and Dependency Controls: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Software Supply-Chain Security, SBOMs, Signatures, Provenance, Trusted Agents, and Dependency Controls: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Software Supply-Chain Security, SBOMs, Signatures, Provenance, Trusted Agents, and Dependency ControlsReserved in course structure

Planned

Chapter 32

Artifact Repositories, Nexus/Artifactory Integration, Package Promotion, Build Metadata, and Release Traceability

5 lessons

Artifact Repositories, Nexus/Artifactory Integration, Package Promotion, Build Metadata, and Release Traceability: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Artifact Repositories, Nexus/Artifactory Integration, Package Promotion, Build Metadata, and Release Traceability: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Artifact Repositories, Nexus/Artifactory Integration, Package Promotion, Build Metadata, and Release Traceability: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Artifact Repositories, Nexus/Artifactory Integration, Package Promotion, Build Metadata, and Release Traceability: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Artifact Repositories, Nexus/Artifactory Integration, Package Promotion, Build Metadata, and Release TraceabilityReserved in course structure

Planned

Chapter 33

Testing and Quality Pipelines: JUnit, Coverage, SonarQube, Selenium, JMeter, and Quality Gates

5 lessons

Testing and Quality Pipelines: JUnit, Coverage, SonarQube, Selenium, JMeter, and Quality Gates: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Testing and Quality Pipelines: JUnit, Coverage, SonarQube, Selenium, JMeter, and Quality Gates: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Testing and Quality Pipelines: JUnit, Coverage, SonarQube, Selenium, JMeter, and Quality Gates: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Testing and Quality Pipelines: JUnit, Coverage, SonarQube, Selenium, JMeter, and Quality Gates: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Testing and Quality Pipelines: JUnit, Coverage, SonarQube, Selenium, JMeter, and Quality GatesReserved in course structure

Planned

Chapter 34

Notifications, Checks, Commit Status, Pull Request Feedback, Chat Integrations, and Release Communication

5 lessons

Notifications, Checks, Commit Status, Pull Request Feedback, Chat Integrations, and Release Communication: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Notifications, Checks, Commit Status, Pull Request Feedback, Chat Integrations, and Release Communication: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Notifications, Checks, Commit Status, Pull Request Feedback, Chat Integrations, and Release Communication: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Notifications, Checks, Commit Status, Pull Request Feedback, Chat Integrations, and Release Communication: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Notifications, Checks, Commit Status, Pull Request Feedback, Chat Integrations, and Release CommunicationReserved in course structure

Planned

Chapter 35

Controller Resilience, Queue Recovery, Agent Loss, Pipeline Durability, Maintenance Windows, and Failure Modes

5 lessons

Controller Resilience, Queue Recovery, Agent Loss, Pipeline Durability, Maintenance Windows, and Failure Modes: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Controller Resilience, Queue Recovery, Agent Loss, Pipeline Durability, Maintenance Windows, and Failure Modes: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Controller Resilience, Queue Recovery, Agent Loss, Pipeline Durability, Maintenance Windows, and Failure Modes: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Controller Resilience, Queue Recovery, Agent Loss, Pipeline Durability, Maintenance Windows, and Failure Modes: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Controller Resilience, Queue Recovery, Agent Loss, Pipeline Durability, Maintenance Windows, and Failure ModesReserved in course structure

Planned

Chapter 36

Backup, Restore, Disaster Recovery, Controller Migration, Configuration Recovery, and Recovery Testing

5 lessons

Backup, Restore, Disaster Recovery, Controller Migration, Configuration Recovery, and Recovery Testing: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Backup, Restore, Disaster Recovery, Controller Migration, Configuration Recovery, and Recovery Testing: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Backup, Restore, Disaster Recovery, Controller Migration, Configuration Recovery, and Recovery Testing: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Backup, Restore, Disaster Recovery, Controller Migration, Configuration Recovery, and Recovery Testing: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Backup, Restore, Disaster Recovery, Controller Migration, Configuration Recovery, and Recovery TestingReserved in course structure

Planned

Chapter 37

Monitoring Jenkins with Metrics, Logs, Health Checks, Audit Trails, Queue Telemetry, and Observability

5 lessons

Monitoring Jenkins with Metrics, Logs, Health Checks, Audit Trails, Queue Telemetry, and Observability: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Monitoring Jenkins with Metrics, Logs, Health Checks, Audit Trails, Queue Telemetry, and Observability: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Monitoring Jenkins with Metrics, Logs, Health Checks, Audit Trails, Queue Telemetry, and Observability: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Monitoring Jenkins with Metrics, Logs, Health Checks, Audit Trails, Queue Telemetry, and Observability: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Monitoring Jenkins with Metrics, Logs, Health Checks, Audit Trails, Queue Telemetry, and ObservabilityReserved in course structure

Planned

Chapter 38

Performance Engineering: Executors, Queueing, Heap, Garbage Collection, Disk I/O, Workspaces, and Controller Load

5 lessons

Performance Engineering: Executors, Queueing, Heap, Garbage Collection, Disk I/O, Workspaces, and Controller Load: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Performance Engineering: Executors, Queueing, Heap, Garbage Collection, Disk I/O, Workspaces, and Controller Load: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Performance Engineering: Executors, Queueing, Heap, Garbage Collection, Disk I/O, Workspaces, and Controller Load: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Performance Engineering: Executors, Queueing, Heap, Garbage Collection, Disk I/O, Workspaces, and Controller Load: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Performance Engineering: Executors, Queueing, Heap, Garbage Collection, Disk I/O, Workspaces, and Controller LoadReserved in course structure

Planned

Chapter 39

LTS Upgrades, Java Runtime Transitions, Plugin Upgrade Strategy, Compatibility Testing, and Rollback Planning

5 lessons

LTS Upgrades, Java Runtime Transitions, Plugin Upgrade Strategy, Compatibility Testing, and Rollback Planning: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

LTS Upgrades, Java Runtime Transitions, Plugin Upgrade Strategy, Compatibility Testing, and Rollback Planning: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

LTS Upgrades, Java Runtime Transitions, Plugin Upgrade Strategy, Compatibility Testing, and Rollback Planning: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

LTS Upgrades, Java Runtime Transitions, Plugin Upgrade Strategy, Compatibility Testing, and Rollback Planning: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — LTS Upgrades, Java Runtime Transitions, Plugin Upgrade Strategy, Compatibility Testing, and Rollback PlanningReserved in course structure

Planned

Chapter 40

Production Troubleshooting: Thread Dumps, Support Bundles, Stuck Builds, Agent Failures, and Incident Playbooks

5 lessons

Production Troubleshooting: Thread Dumps, Support Bundles, Stuck Builds, Agent Failures, and Incident Playbooks: Concepts, Architecture, and Mental ModelReserved in course structure

Planned

Production Troubleshooting: Thread Dumps, Support Bundles, Stuck Builds, Agent Failures, and Incident Playbooks: Guided Hands-On Workflow and Core OperationsReserved in course structure

Planned

Production Troubleshooting: Thread Dumps, Support Bundles, Stuck Builds, Agent Failures, and Incident Playbooks: Configuration, Design Choices, and TradeoffsReserved in course structure

Planned

Production Troubleshooting: Thread Dumps, Support Bundles, Stuck Builds, Agent Failures, and Incident Playbooks: Diagnostics, Failure Modes, Security, and PerformanceReserved in course structure

Planned

Checkpoint Lab — Production Troubleshooting: Thread Dumps, Support Bundles, Stuck Builds, Agent Failures, and Incident PlaybooksReserved in course structure

Planned

Chapter 41

Production Capstone: Design, Automate, Secure, Scale, Upgrade, and Recover an Enterprise Jenkins Platform

5 lessons

Production Capstone: Design, Automate, Secure, Scale, Upgrade, and Recover an Enterprise Jenkins Platform: Requirements, Constraints, and Target ArchitectureReserved in course structure

Planned

Production Capstone: Design, Automate, Secure, Scale, Upgrade, and Recover an Enterprise Jenkins Platform: Implementation and Automation Build-OutReserved in course structure

Planned

Production Capstone: Design, Automate, Secure, Scale, Upgrade, and Recover an Enterprise Jenkins Platform: Security, Governance, and Reliability ValidationReserved in course structure

Planned

Production Capstone: Design, Automate, Secure, Scale, Upgrade, and Recover an Enterprise Jenkins Platform: Failure Injection, Troubleshooting, and Recovery DrillReserved in course structure

Planned

Production Capstone: Design, Automate, Secure, Scale, Upgrade, and Recover an Enterprise Jenkins Platform: Final Operational Review and HandoffReserved in course structure

Planned

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Jenkins Complete Course

A complete Jenkins curriculum for reliable Pipeline-as-Code and production automation.

You will be able to

41 chapters in prerequisite order.

Jenkins and CI/CD Foundations, Controller-Agent Architecture, Jobs, Builds, and Automation Boundaries

Jenkins LTS Installation, Java 21/25 Runtime Planning, Packages, Containers, and Initial Setup

JENKINS_HOME, Filesystem Layout, Controller Configuration, System Settings, Tools, and Global Properties

Users, Authentication Realms, Authorization Strategies, Matrix Permissions, Folders, and Least Privilege

Freestyle Projects, Build Steps, Post-Build Actions, Parameters, Triggers, and Legacy Job Maintenance

Source Control Integration, Git Plugin, Credentials, Polling, Webhooks, and Multirepository Checkout

Build Parameters, Environment Variables, Build Causes, Schedules, Remote Triggers, and Parameterized Automation

Tool Installations, JDKs, Maven, Gradle, Node.js, Docker CLI, and Reproducible Build Environments

Pipeline Fundamentals, Jenkinsfile, Pipeline Engine, Durable Execution, Nodes, Workspaces, and Stages

Declarative Pipeline Syntax, agent, stages, steps, options, parameters, environment, tools, and post

Scripted Pipeline, Groovy Control Flow, node Blocks, Dynamic Logic, and When to Use Scripted Pipelines

Pipeline Steps, Error Handling, retry, timeout, catchError, input, waitUntil, and Resilient Flow Control

Groovy CPS, Serialization, @NonCPS, Pipeline State, Restarts, and Common Pipeline Programming Pitfalls

Artifacts, stash/unstash, archiveArtifacts, Fingerprints, Test Reports, Coverage, and Build Evidence

Credentials Store, Secret Text, Files, SSH Keys, Username/Password, Binding, and Secret Hygiene

Secret Masking Limits, Credentials Scope, External Secret Providers, Vault Integration, and Rotation Patterns

Nodes, Agents, Labels, Executors, Workspaces, Offline Causes, and Agent Capacity Design

SSH, Inbound, WebSocket, Windows, and Ephemeral Agents: Connectivity, Remoting, and Agent Lifecycle

Docker Pipeline, Containerized Build Steps, Docker Agents, Sidecars, Registries, and Image Workflows

Kubernetes Plugin, Pod Templates, Dynamic Kubernetes Agents, Volumes, Service Accounts, and Cluster Scaling

Parallel Stages, Matrix Builds, Fail-Fast Behavior, Test Sharding, and High-Throughput Pipeline Design

Multibranch Pipelines, Branch Sources, Pull Request Discovery, Jenkinsfile Trust, and Branch Indexing

Organization Folders, GitHub/GitLab/Bitbucket Discovery, Repository Onboarding, and Platform Automation

Shared Libraries, Global Variables, vars, src, resources, Versioning, Testing, and Pipeline Product Design

Plugin Ecosystem, Plugin Dependencies, Update Center, Compatibility, Pinning, Removal, and Plugin Governance

Jenkins Configuration as Code, YAML Bundles, Secrets, Reloading, Validation, and Git-Managed Controller State

Job DSL, Seed Jobs, Folder Hierarchies, Programmatic Job Creation, and Jenkins API Automation

REST API, CLI, Script Console, Groovy Administration, Safe Automation, and Administrative Guardrails

Security Hardening, CSRF, Agent-to-Controller Controls, Script Security, CSP, TLS, and Reverse Proxies

SSO, LDAP, OIDC/SAML Plugins, External Identity, RBAC Patterns, and Enterprise Access Governance

Software Supply-Chain Security, SBOMs, Signatures, Provenance, Trusted Agents, and Dependency Controls

Artifact Repositories, Nexus/Artifactory Integration, Package Promotion, Build Metadata, and Release Traceability

Testing and Quality Pipelines: JUnit, Coverage, SonarQube, Selenium, JMeter, and Quality Gates

Notifications, Checks, Commit Status, Pull Request Feedback, Chat Integrations, and Release Communication

Controller Resilience, Queue Recovery, Agent Loss, Pipeline Durability, Maintenance Windows, and Failure Modes

Backup, Restore, Disaster Recovery, Controller Migration, Configuration Recovery, and Recovery Testing

Monitoring Jenkins with Metrics, Logs, Health Checks, Audit Trails, Queue Telemetry, and Observability

Performance Engineering: Executors, Queueing, Heap, Garbage Collection, Disk I/O, Workspaces, and Controller Load

LTS Upgrades, Java Runtime Transitions, Plugin Upgrade Strategy, Compatibility Testing, and Rollback Planning

Production Troubleshooting: Thread Dumps, Support Bundles, Stuck Builds, Agent Failures, and Incident Playbooks

Production Capstone: Design, Automate, Secure, Scale, Upgrade, and Recover an Enterprise Jenkins Platform

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