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Training GitLab CI/CD - Automating DevOps Pipelines

Ref: NMR236
10 people max.
5250€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master GitLab CI/CD to automate professional enterprise pipelines
  • Develop scalable and secure CI/CD workflows with GitLab
  • Implement automated tests and continuous deployments with certification
  • Optimize pipeline performance for rapid deliverables
  • Design multi-stage environments with Docker and Kubernetes
  • Manage secrets and security in GitLab CI/CD pipelines
  • Deploy applications to production via GitLab in enterprise mode

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1GitLab CI/CD Fundamentals: Basic Pipeline Configuration (YAML, runners, jobs)

In-depth discovery of YAML syntax to define your first GitLab CI/CD pipelines, installation and configuration of local or shared runners, creation of simple jobs with build and test scripts, practical exercises on a real enterprise project, interactive debugging of common errors, production of a functional pipeline ready to scale for your professional teams.

Module 2GitLab CI/CD Stages: Multi-Step Workflows and Artifacts (build, test, deploy)

Design of multi-stage pipelines with automated dependencies in GitLab CI/CD, use of artifacts to persist builds between jobs, integration of unit and integration tests via Jest or Mocha, concrete cases on Node.js or Java applications, optimization of execution times with caching, implementation of a complete deployable workflow to staging to validate your professional skills.

Module 3GitLab CI/CD Container Integration: Docker and Custom Images (registries, compose)

Mastery of Docker services in GitLab CI/CD for isolated environments, building custom images with multi-stage builds, push to GitLab Container Registry, use of Docker Compose to orchestrate complex stacks, exercises on real microservices, end-to-end tests with containerized databases, delivery of an optimized image ready for certified enterprise production.

Module 4Advanced GitLab CI/CD: Kubernetes, Helm, and Monitoring (deployments, metrics)

Automated deployment to Kubernetes via GitLab CI/CD with Helm charts, configuration of namespaces and managed secrets, integration of monitoring with Prometheus and Grafana, management of blue-green rollouts, practical cases on EKS or GKE clusters, analysis of pipeline performance metrics, production of a resilient and observable deployment to boost your DevOps teams' efficiency.

Module 5Security and Optimization in GitLab CI/CD: Secrets, Scanning, and Enterprise Best Practices

Implementation of security in GitLab CI/CD with masked variables and SAST/DAST, vulnerability scanning via GitLab Security, advanced runner optimization with auto-scaling, automated code review and merge requests, exercises on real enterprise incidents, finalization of a production-ready certified pipeline, action plan to integrate these skills into your professional organization.

Evaluation method

  • Quiz to validate learning outcomes at the end of the training
  • Continuous evaluation through practical exercises on pipelines
  • Defense of the red thread GitLab CI/CD project before the trainer

Learning method

  • Classes led by an active DevOps expert trainer
  • Practical exercises on real enterprise cases with GitLab
  • Progressive red thread project for a complete pipeline
  • Complete course materials and YAML examples provided to each participant

Methods, materials and delivery

The Training GitLab CI/CD - Automating DevOps Pipelines program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training GitLab CI/CD - Automating DevOps Pipelines program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training GitLab CI/CD - Automating DevOps Pipelines program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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