Cloud & DevOps

GitLab Training

This training is designed for professionals working in software testing, software development, DevOps, and system administration.

Duration
6h
Who it's for

Ideal for teams that…

1 Software testers who want to automate testing processes and better integrate their work with CI/CD pipelines
2 DevOps specialists seeking to improve processes, including GitLab Runner configuration, application deployments to cloud platforms (AWS, GCP, Kubernetes), and securing pipelines
3 Developers interested in efficiently implementing and maintaining automated build and delivery processes
4 System administrators responsible for maintaining environments, monitoring pipelines, and managing infrastructure
Outcomes after the program

Cloud, automation and CI/CD in practice — hands-on for engineering teams.

How to configure GitLab Runners in a scalable way, aligned with modern standards, and applicable across an organization

Creating and optimizing GitLab CI pipelines according to best practices

Automating application deployments to cloud platforms such as AWS and GCP

Building a comprehensive Continuous Integration and Delivery (CI/CD) process

Using GitLab as a tool for infrastructure management

Independently diagnosing and solving problems in GitLab environments

Program · 10 modules

What we actually do

M01
Module 1: Getting Started with GitLab CI/CD
  • · Why GitLab is a powerful tool for team automation
  • · Comparison with other CI/CD solutions
  • · Capabilities available in the free GitLab version
M02
Module 2: How GitLab Works “Under the Hood”
  • · High-level overview of GitLab architecture
  • · How GitLab supports daily development and DevOps workflows
M03
Module 3: Running and Monitoring Jobs (GitLab Runner)
  • · Configuring the environment for running pipelines
  • · Scaling runners and resources to match team needs
  • · Monitoring job execution and responding to failures
M04
Module 4: Building Custom Processes Step by Step
  • · Writing simple and advanced CI/CD pipelines
  • · Defining jobs, variables, and dependencies
  • · Working with containers and additional services
M05
Module 5: Smart Shortcuts – Optimization
  • · Using templates and reusable snippets
  • · References and anchors to avoid repetitive code
M06
Module 6: DevOps Automation (Auto DevOps)
  • · Automatic build, test, and deployment pipelines
  • · Using Auto DevOps to accelerate application delivery
M07
Module 7: Deploying Applications to the Cloud
  • · Deploying applications to Kubernetes, AWS, and GCP
  • · Securing environments against unwanted deployments
  • · Using feature flags to control releases to end users
M08
Module 8: Security in GitLab
  • · Automated scanning of containers and infrastructure
  • · Identifying and fixing security issues early in the pipeline
M09
Module 9: ChatOps – Working Through Chat Tools
  • · Running CI/CD actions directly from chat tools
  • · Managing projects and workflows via ChatOps
M10
Module 10: Practical Project Management
  • · Organizing projects and teams in GitLab
  • · Planning work with milestones
  • · Integration with Agile methodologies (Scrum, Kanban)
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

Quote within 48h of the brief
First session within 30 days
Pilot before the full decision
VAT invoice, payment in instalments possible

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