Gitlab Advanced Training
Administer, upgrade and scale a self-managed GitLab and deliver to Kubernetes with Auto DevOps, canaries and analytics. Learn Gitlab through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Gitlab levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Gitlab Advanced Training.
Understand where Gitlab fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Gitlab is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Gitlab program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.
Private Gitlab training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Gitlab training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Gitlab usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Advanced | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Advanced | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 5 Days | Corporate | Gitlab Advanced Training | Private team batch |
What learners should be able to do after Gitlab training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Collaborate on one platform
Plan, code and review work in GitLab with issues, boards, merge requests and GitLab Flow.
Automate delivery with CI/CD
Build pipelines, runners, registries, Pages and Review Apps that take code from commit to deployment.
Administer GitLab at scale
Install, secure, back up, upgrade, monitor and scale a self-managed GitLab instance.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Gitlab responsibilities before reviewing the detailed agenda.
Why Gitlab matters
- Gitlab helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Gitlab becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Gitlab effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Gitlab concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Gitlab in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Gitlab for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Gitlab usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Gitlab.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: platform concepts, installation, users and first projectDay 1
- What is GitLab: a single DevOps platform, Free, Premium and Ultimate tiers, GitLab.com, Dedicated and self-managed
- How does GitLab work: architecture of Puma, Workhorse, Gitaly, Sidekiq, PostgreSQL and Redis
- Installing GitLab: Linux package on Ubuntu or RHEL, Docker install and the initial root password
- Configuring GitLab: external_url, /etc/gitlab/gitlab.rb, gitlab-ctl reconfigure and gitlab-ctl status
- Getting started with GitLab: GitLab basics on the command line and in the UI, creating your first project
- User account and profile settings: manage your account, profile, personal access tokens and authorized applications
- Authentication: two-factor authentication, SSH keys, SSH authentication and deploy keys for secure project access
- User permissions: what external, guest, planner, reporter, developer, maintainer and owner roles can do
- GitLab groups: groups, subgroups, namespaces and inherited membership
- Code hosting in repositories with version control: pushing an existing repository, branches, tags and Web IDE
- GitLab Flavored Markdown: GitLab's advanced formatting system, references, task lists and diagrams
- Account feature highlights: in-app hints that explain features and the navigation sidebar
Essential Level = Foundation + workflow, issues, merge requests and code reviewDay 2 · 2 days cumulative
- GitLab workflow: an overview and the GitLab workflow in depth from issue to merge request to deployment
- GitLab Flow: explore the GitLab Flow strategy with feature, production and environment branches
- Projects issues: track proposals for new implementations, bug reports and feedback with the issue tracker
- Issue boards: organize and prioritize with multiple issue boards, lists and multiple assignees for issues
- Projects milestones: work on multiple issues and merge requests towards the same target date
- Projects merge requests: collaborate on code, review changes per branch and request approvals
- Setting up a code review: reviewers, suggested changes, threads and mastering code review with GitLab
- Merge request approvals: approval rules, CODEOWNERS and improving collaboration across teams
- GitLab discussions: threads, resolvable comments, mentions and quick actions
- GitLab todos and GitLab search: the to-do list, global search, advanced search and code search
- GitLab snippets: personal and project snippets for sharing code
- Lock files to prevent conflicts: file locking and exclusive locks with Git LFS
- Protected branches and tags: who can push and merge, and push rules
- Wikis: project and group wikis for team documentation
Intermediate Level = Essential + CI/CD pipelines, runners, registry and integrationsDay 3 · 3 days cumulative
- Getting started with GitLab CI/CD: build, test and deploy with built-in continuous integration
- Creating a .gitlab-ci.yml file: stages, script, rules, needs, artifacts, cache and pushing .gitlab-ci.yml to GitLab
- Configuring a runner: installing GitLab Runner, registering it and choosing shell, Docker or Kubernetes executors
- Seeing the status of your pipeline and jobs: pipeline graphs, job logs, retries and the pipeline editor
- Using Docker images: image and services keywords, Docker-in-Docker and building images in CI
- GitLab Container Registry: build and deploy Docker images with the container registry and cleanup policies
- Continuous Integration settings: CI/CD variables, protected and masked variables, runners and job timeouts
- Project settings and repository settings: default branch, mirroring, merge methods and push rules
- Git configuration options: Git strategy and clone depth for CI, housekeeping and repository size limits
- GitLab Pages: publish personal and professional static websites built with any static site generator
- Review Apps: live-preview the changes introduced by a merge request in a per-branch environment
- Multi-project pipelines: downstream and parent-child pipelines and pipeline graphs across projects
- GitLab integrations, webhooks and API: Jira and Slack integrations, webhooks, REST and GraphQL API
- Security scanning: SAST, secret detection, dependency and container scanning displayed in merge requests
Advanced Level = Intermediate + administration, Kubernetes delivery, analytics and scaleDays 4-5 · 5 days cumulative
- Maintaining GitLab: gitlab-ctl, rake tasks, housekeeping, background migrations and Sidekiq queues
- Updating GitLab: upgrade paths, package upgrades, zero-downtime upgrades and post-upgrade checks
- Backup and restore: gitlab-backup create, gitlab-secrets.json and gitlab.rb, and tested restores
- Monitoring GitLab: bundled Prometheus metrics, health checks, logs in /var/log/gitlab and Grafana
- Troubleshooting GitLab: gitlab-ctl tail, gitlab-rake gitlab:check, the Rails console and runner issues
- Customizing GitLab's appearance and the Admin area: branding, sign-in page, admin tasks and instance settings
- GitLab platform integrations: LDAP and SAML sign-in, OmniAuth providers and outgoing email
- Auto DevOps and GitLab Auto Deploy: deploy your application out of the box with built-in pipelines
- Kubernetes integration: GitLab agent for Kubernetes, GitOps with Flux and CI/CD access to clusters
- Deploy Boards and canary deployments: health of each Kubernetes environment and gradual canary rollouts
- Cycle analytics: value stream analytics (formerly GitLab Cycle Analytics) and DORA metrics
- Service Desk: provide support by turning customer emails into confidential issues
- Scaling GitLab: reference architectures, Gitaly Cluster, Geo replication and high availability
- Complete DevOps with GitLab: capstone to plan, code, build, secure, deploy and monitor one application
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Gitlab levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Install GitLab and host a project
Install GitLab with the Linux package, configure users, a group and SSH keys, and push an existing project into a new repository.
Plan and review a feature
Plan a feature with issues, a board and a milestone, then implement it on a branch and merge it through a reviewed, approved merge request.
Build a full CI/CD pipeline
Register a Docker runner and build a pipeline that tests code, scans it, pushes an image to the registry and deploys a Review App per merge request.
Operate GitLab and deploy to Kubernetes
Back up and upgrade a GitLab instance, connect a Kubernetes cluster with the agent and ship a canary release tracked with value stream analytics.
Gitlab is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Gitlab with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Gitlab certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Gitlab level.
Certificate verificationCertificate of Completion
Gitlab Advanced Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Gitlab path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Gitlab Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Gitlab level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Gitlab practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Gitlab workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Gitlab Advanced training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.