DevOps, cloud & deployment
Practice Linux, Git, Docker, CI/CD, infrastructure and production deployment.
Nexorix IT training
DevOps, cloud & deployment
A path for understanding how an application moves from code to a usable environment.
Format
Trainer profile
Training led by a senior IT expert with 10+ years of experience on demanding projects for major companies in Africa and Europe. The approach is practical, field-tested and focused on skills you can reuse immediately.
Path objective
Move step by step with clear explanations, guided exercises and a concrete project to validate what you learn.
Request informationWhat you will learn
- Use Linux and the command line to manage an environment.
- Manage code with Git and understand a team workflow.
- Discover Docker, images, containers and environment variables.
- Understand CI/CD basics and deployment steps.
Session-by-session program
Essential Linux
Shell, files, permissions, processes and useful commands.
Practical networking
Ports, DNS, HTTP, ping/curl and simple diagnosis.
Professional Git
Branches, merges, conflicts and commit conventions.
Variables and config
Secrets, env files, dev/prod environments.
Docker basics
Images, containers, ports, volumes and logs.
Dockerfile
Build a clean image, layers and simple optimization.
Docker Compose
Run app, database and services together.
CI/CD concepts
Pipeline, build, test, artifacts and automatic deployment.
GitLab CI practice
Write a simple pipeline and read errors.
Server and reverse proxy
Nginx, domains, certificates and HTTP routing.
Cloud concepts
VMs, storage, networking, regions, costs and scalability.
Observability
Logs, simple metrics, health checks and alerts.
Deployment security
Permissions, secrets, updates and attack surface.
Kubernetes basics
Pods, deployments, services and useful kubectl commands.
Complete deployment
Publish a containerized app with configuration.
Incident and rollback
Diagnose failure, read logs, fix and roll back.
Practical project
Deploy a small application with Git, Docker and a simple production workflow.