Mastering GitLab: From Planning to Secure Deployment
- Description
- Curriculum
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This comprehensive course empowers you to harness the full capabilities of GitLab—not just as a code repository, but as a complete DevOps platform.
Begin by learning how to plan and track work efficiently with GitLab’s robust project management tools: Issues, Epics, Milestones, Boards, and Roadmaps. You’ll explore how to create agile workflows that bring transparency and alignment across your teams.
From there, dive into GitLab CI/CD to build, test, and deploy applications automatically, leveraging powerful pipeline configuration options, reusable templates, runners, and environment-specific deployments. This course walks you through practical scenarios to automate your software delivery process.
Next, focus on application security with DevSecOps principles. You’ll learn to integrate security scans (SAST, DAST, Dependency Scanning, Container Scanning, and Secret Detection) directly into your pipelines—catching vulnerabilities early without slowing development.
Managing infrastructure is made seamless with GitLab’s Infrastructure as Code capabilities. You’ll use tools like Terraform within GitLab, manage Kubernetes deployments, and automate cloud provisioning—all from within the same platform.
Finally, extend GitLab’s capabilities with third-party integrations such as Jira, Slack, Prometheus, Sentry, and custom webhooks to streamline monitoring, communication, and incident management.
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1
Introduction to GitLab Projects, Groups, and IssuesUnderstand GitLab’s structure for organizing code, teams, and tasks using projects and groups.
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2
Using Issues, Labels, and Milestones
 Track work effectively using issue templates, custom labels, and sprint-based milestones
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3
Epics, Roadmaps, and Agile Boards (Premium+)
Learn how to scale planning with epics, issue hierarchies, and visualize timelines via roadmaps.
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4
GitLab Boards and Agile Workflows
Manage tasks using Kanban-style boards with customizable columns and automation.
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5
Time Tracking and Productivity Metrics
Enable time estimates, track spent time, and report on team velocity within GitLab.
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6
GitLab CI/CD Overview
Understand GitLab’s built-in continuous integration capabilities and pipeline architecture.
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7
Writing Your First .gitlab-ci.yml File
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Create a basic CI pipeline with build, test, and deploy stages.
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8
Using Runners: Shared, Group, and Custom
Learn how GitLab Runners execute jobs and how to register your own runners securely.
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9
Pipelines for Merge Requests (MR Pipelines)
Set up pipelines that run on merge requests to ensure safe code integration
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10
Artifacts, Caching, and Parallel Jobs
 Improve pipeline efficiency with artifact storage, job caching, and parallelization.
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11
Introduction to GitLab Secure
 Learn how GitLab integrates security testing directly into CI/CD pipelines.
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12
Static Application Security Testing (SAST)
Automatically scan code for vulnerabilities using GitLab’s SAST templates.
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13
Dependency Scanning and License Compliance
Detect known vulnerabilities in open-source dependencies and check for license risks.
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14
Container Scanning and DAST
Scan Docker images and perform dynamic scans of deployed apps for runtime issues
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15
Security Dashboards and Merge Request Widgets
Visualize vulnerabilities and enforce security policies before code merges.
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16
GitOps and Infrastructure-as-Code (IaC)
Use GitLab as a GitOps engine for managing infrastructure with Terraform, Ansible, and Helm
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17
Auto DevOps and Review Apps
 Automatically build, test, and deploy apps using GitLab’s Auto DevOps pipeline
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18
Environment Management and Deployment Strategies
Manage multiple environments (staging, production) and implement blue-green or canary deployments
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19
Kubernetes Integration
Connect GitLab to your Kubernetes cluster and deploy securely using Helm and GitLab CI/CD
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20
Infrastructure Monitoring and Observability
Track performance, logs, and metrics with GitLab-integrated Prometheus and Grafana
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21
GitLab API and Webhooks
Automate tasks and integrate with external tools using GitLab’s REST and GraphQL APIs.
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22
Integrating Slack, Jira, and Trello
Keep your teams informed with real-time updates and ticket syncs from GitLab to your tools.
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23
Using GitLab with Cloud Providers (AWS, GCP, Azure)
Deploy directly to cloud platforms, use GitLab’s cloud authentication features, and store artifacts remotely
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24
Extending GitLab with CI/CD Templates and Custom Scripts
Create reusable
.gitlab-ci.ymltemplates and CI/CD includes to scale automation across projects. -
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Marketplace Tools and GitLab Apps
Discover third-party apps and tools that can enhance GitLab’s functionality in enterprise environments.
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26
End-to-End DevSecOps Pipeline Using GitLab
Yes, the course is structured to provide a complete understanding of GitLab as an end-to-end DevOps platform—from planning and development to security, deployment, and monitoring.
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Git In Action: Workflow Essentials for Developers
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What is Prerequisite coursesA prerequisite is a specific course that you must complete before you can take another course at the next grade level.
By the end of the course, you’ll be able to:
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Plan, track, and collaborate on work in GitLab efficiently.
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Build and deploy applications using scalable CI/CD pipelines.
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Secure your software with built-in DevSecOps tools.
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Manage infrastructure and cloud deployments with automation.
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Extend GitLab’s functionality using powerful integrations.
Understanding of GIT Concepts
This course is ideal for DevOps engineers, developers, and IT teams looking to simplify toolchains, increase security, and accelerate delivery using GitLab's all-in-one DevOps solution.
