Diplome et Certifications Formations AGILES Software Development Technologie numérique

Professional training module

AGL-90/ DevOps

Build Fast. Deploy Confidently. This 3-day DevOps course gives you the skills to set up pipelines, automate environments, and deliver code at scale. Learn GitOps workflows, containerization, cloud provisioning, and secure release strategies — all in one immersive experience.

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Track: Formations AGILES
Duration: 21 hour
Format: Schools, cohorts, or programme teams
Price: 75 €

Overview

What this module covers

Learning outcomes

What learners should be able to do

6 outcomes

1
Set up CI/CD workflows using Git, GitHub Actions, GitLab CI, or Jenkins
2
Automate environment provisioning with Terraform or similar IaC tools
3
Containerize applications using Docker and deploy using Docker Compose
4
Apply DevSecOps principles to secure and audit your pipelines
5
Implement logging, metrics, and alerting for observability
6
Integrate cloud tools (AWS, Azure, GCP) into DevOps workflows

Module content

Course description

3-Day Intensive Course for Developers, IT Ops, and Automation Engineers

3 Intense Days
7 Hours per Day (Split into two 3.5-hour sessions)

Learning Path Visual

Your hands-on journey from manual delivery to automated, scalable DevOps workflows:

Day 1: Foundations of DevOps & CI/CD Pipelines
Understand the culture, tools, and practices behind DevOps. Learn how to build, test, and deploy code faster using CI/CD workflows and version control.

Day 2: Infrastructure as Code & Containerization
Automate your infrastructure using Terraform and Docker. Deploy consistent environments across development and production with container-based strategies.

Day 3: Monitoring, Scaling & Secure DevOps (DevSecOps)
Integrate security, logging, and monitoring into your pipelines. Explore observability, automated rollback, and scalable deployment patterns using cloud-native tools.

Course Overview

DevOps is more than tools — it’s a way of working that increases delivery speed, reliability, and scalability. This workshop teaches engineers how to build modern DevOps pipelines, automate infrastructure, and deploy resilient systems using industry-standard tools and practices.

You’ll learn by doing: configuring CI/CD, writing deployment scripts, working with containers, and applying DevSecOps principles to build pipelines that scale — securely.

You’ll learn how to:

Set up CI/CD workflows using Git, GitHub Actions, GitLab CI, or Jenkins
Automate environment provisioning with Terraform or similar IaC tools
Containerize applications using Docker and deploy using Docker Compose
Apply DevSecOps principles to secure and audit your pipelines
Implement logging, metrics, and alerting for observability
Integrate cloud tools (AWS, Azure, GCP) into DevOps workflows
Build workflows that minimize downtime and increase agility
Collaborate across dev and ops using shared tooling and automation

This course bridges code delivery, infrastructure automation, and site reliability practices, making DevOps approachable and actionable for technical professionals.

What’s Inside Each Day

Day 1 — Foundations of DevOps & CI/CD Pipelines

DevOps principles: culture, feedback loops, automation
Version control best practices (Git branches, PRs, tags, hooks)
CI/CD workflows: build, test, release cycles
Setting up pipelines in GitHub Actions or GitLab CI
Secrets management and environment variables
Hands-on: Build a basic CI/CD pipeline with automated testing

Tools: Git, GitHub Actions, GitLab CI/CD, YAML
Focus: Automation • Delivery Pipelines • Versioning

Day 2 — Infrastructure as Code & Containerization

Infrastructure as Code (IaC): intro to Terraform
Writing declarative infrastructure: networking, compute, policies
Docker essentials: images, containers, volumes, networks
Compose files for local multi-container development
Deploying staging environments with repeatable scripts
Hands-on: Provision cloud resources and deploy Docker containers

Tools: Terraform, Docker, Docker Compose, VS Code
Focus: IaC • Environments • Containerized Delivery

Day 3 — Monitoring, Scaling & Secure DevOps (DevSecOps)

Integrating security scanning into pipelines (SAST, DAST, secrets scanning)
Monitoring and observability: logs, metrics, alerts (Prometheus, Grafana)
Cloud-native deployment patterns: blue/green, canary, rolling updates
Automated rollback and fault recovery strategies
Hands-on: Implement alerting, dashboards, and a secure pipeline

Tools: Prometheus, Grafana, Trivy, AWS CLI/GCP SDK
Focus: DevSecOps • Observability • Reliability Engineering

Course Goals

By the end of this course, you’ll be able to:

Build robust DevOps pipelines that integrate code, infrastructure, and security
Automate deployments across environments and teams
Use containers and IaC to create scalable, consistent delivery systems
Monitor your systems using modern observability stacks
Shift left on security and incorporate risk mitigation into CI/CD
Reduce time-to-release and increase production confidence

Who Should Take This Course?

Developers seeking to deploy faster with CI/CD and automation
Sysadmins and IT engineers transitioning to DevOps workflows
Cloud engineers looking to provision and monitor infrastructure as code
Security and SRE professionals implementing DevSecOps and observability
Startup and platform teams building delivery pipelines from scratch
Students and career changers entering the DevOps or cloud space

Class Reference: AGL-90
Form Updated on: 06/16/2025 (Version 1)
Last Modified on: 06/16/2025

Program Note

This course is continuously updated to reflect changes in DevOps tooling, best practices, IaC platforms, and secure delivery techniques — including GitHub Actions, Terraform 1.x+, and modern container orchestration patterns.

Brief pédagogique en français

AGL-90/ DevOps est présenté ici en version synthétique française afin que les équipes pédagogiques puissent évaluer rapidement l'intérêt du module.

Le module s'inscrit dans la famille Formations agiles. Il peut être adapté au calendrier de l'école, au niveau Tous niveaux, au volume horaire 21 h et aux modalités d'évaluation prévues.

Objectif d'intervention

Ce module vise à faire pratiquer les méthodes Agile dans des situations de projet réalistes.

Livrables et activités possibles

rituels Scrum, backlog, sprint planning et rétrospectives
communication de projet, priorisation et coordination d'équipe
livrables évaluables pour simuler une équipe produit ou delivery

Adaptation école

LC peut ajuster le déroulé, la langue d'enseignement, les supports, les exercices et les critères d'évaluation selon la promotion, le diplôme, le niveau d'autonomie attendu et les contraintes de planning.

Pour une version détaillée du syllabus en français, LC confirme le programme final après cadrage du niveau, des heures, du calendrier et des livrables attendus.

Academic delivery team

Instructor matching for this module

After reviewing the module content, LC confirms the right delivery profile by topic, level, teaching language and assessment expectations.

Instructor matchingCurriculum fitAssessment support

Lead

Lead trainer & academic programme coordinator

André-Alexis des Forges

Lead trainer for LC's higher-education delivery model, coordinating modules, instructor preparation and assessment continuity across business, IT and technical programmes.

Academic coordinationESPIT & business English

AI, data & software instructor

Meriam Mbindyo

Instructor for AI, data, DevOps, Agile and software modules, with experience across Paris-based IT and business schools.

Artificial intelligenceMachine learningData mining

Semester Delivery

Curriculum Design

Urgent Cover

Assessment Support

Certification

Three-Year AgileTrack

M1 & M2 IT Management Track

Two-Year AI Track

BTS SIO / CIEL Two-Year Track

AGL-90/ DevOps

What this module covers

What learners should be able to do

Course description