GitLab for CI/CD Pipelines - Cprime
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GitLab for CI/CD Pipelines

In a hands-on environment, learn to use the GitLab toolset to start, progress, or mature your CI/CD environment in a way that integrates with your existing pipelines with GitLab.

Overview

This course covers setting up continuous integration/continuous deployment (CI/CD) for your projects. It starts with a round-robin discussion of where your team is at with CI/CD today. It then focuses on what is CI/CD, why it should be used, and how to implement within GitLab. This class includes live demonstrations of the use of GitLab.

GitLab CI/CD Training covers some features that are available in all three GitLab pricing tiers (Free, Premium, and Ultimate), some features that are only available in Premium and Ultimate, and a small number of features that are only available in Ultimate.

This class provides students with the necessary training to achieve their GitLab CI/CD Associate certification. The certification fee is not included in the course price. To earn certification, GitLab CI/CD Training participants must receive a passing score on both a written assessment and a lab assessment evaluated by a GitLab Professional Services Engineer



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$595 (USD)
Standard Delivery: 7 hours of instruction
Group (3+): $550 USD
GSA: $685 USD

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There are currently no scheduled classes for this course.
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GitLab for CI/CD Pipelines Schedule

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There are currently no scheduled classes for this course. Please contact us if you would like more information or to schedule this course for you or your company.

Full Course Details

Part 1: GitLab Overview and Flow

  • What is GitLab
  • Today's Software Delivery Landscape
  • GitLab Workflow and Example
  • What is CI/CD
  • GitLab's CI/CD Workflow
  • Why Use CI/CD
  • Dogfooding: Building GitLab with GitLab
  • Demo: GitLab Introduction/Navigation

Part 2: Architecture and Runners

  • GitLab CI/CD Basic Flow
  • Configuration File and Runners
  • Runner Architecture
  • Runner Characteristics and Types
  • Advanced Runner Options
  • Common Executors
  • Demo: Runner Registration
  • Config.toml File

Part 3: Anatomy of a Pipeline

  • Anatomy of a CI/CD Pipeline
  • Basic Pipeline Builds
  • Directed Acyclic Graph Pipelines
  • Child and Parent Pipelines
  • GitLab Pipeline Graph
  • .gitlab-ci.yml Example
  • Basic Parameters: Definitions and Examples
  • Demo: GitLab Pipeline Configuration
  • Hands-on Lab: Create a CI Pipeline

Part 4: Advanced Keywords and DRY

  • Advanced Parameters
  • Dependencies
  • Needs
  • Parallel
  • Trigger

Part 5: Variable Precedence & Scoping

  • Microlearning Game- Reviewing Day 1
  • Hands-On Lab: Create a CI/CD Pipeline
  • Hands-On Lab: Define a Pipeline with Environments
  • Hands-On Lab: Variable Hierarchy
  • Variable Priority

Part 6: Job Policy Patterns

  • Hands-On Lab: Scaffold Out a Job Policy Pattern
  • Microlearning Game: Pipeline Review

Part 7: Artifacts and Dependencies

  • Hands-On Lab: Artifact Hierarchy

Part 8: Registry & Deployments

  • What are Package and Container Registries?
  • Hands-On Lab: GitLab Docker Registry

Part 9: Security Scanning or Code Quality Scanning (student choice)

  • Hands-On Lab: Enabling Security Scanning OR Code Quality

Attendees should already be familiar at a basic knowledge level with the following concepts:

  • Familiarity with agile development and source code management
  • GitLab with Git Basics course or equivalent knowledge

Professionals who will benefit from this training include:

  • Technical project leads
  • Developers
  • DevOps practice members
  • Software engineers
  • Technical product owners
  • Application team members 

  • How to accurately describe CI/CD
  • How runners work
  • To set up and configure CI/CD and runners
  • To verify a new feature
  • Scope and persist variables at various levels
  • Scaffold out the basics of a test, build, review, and deploy pipeline leveraging feature/topic branching as the review mechanism
  • Release and deployment workflow
  • Artifacts and dependency caching
  • Building and deploying images to GitLab registry
  • Student choice between static application security scanning and code quality scanning

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