Course Presentation

#	Section
1	Welcome to the course
2	Learning objectives
3	The thread — from code to deployment
4	Course rules and working environment
5	Evaluation methods
6	Session plan — the 15 modules
7	Quiz — Understand the course framework
8	Practice — Prepare your workstation
9	Summary

1 — Welcome to the course

This course, Development and Deployment of Data Solutions (AOA-DEVOPS-101), takes you from an empty workstation to an automatically deployed, monitored, and reproducible application.

The objective is not just to learn isolated tools (Git, Docker, Jenkins, Kubernetes…), but to understand how they chain together to deliver software reliably and repeatably.

You don't need to be an expert. You need curiosity, a bit of rigor, and the willingness to try, break things, and try again. That's exactly the DevOps mindset.

↑ Back to top

2 — Learning objectives

By the end of the session, you will be able to:

#	Target competency
1	Version a project with Git and collaborate via GitHub
2	Build a Java project with Maven
3	Automate builds and tests with Jenkins and GitHub Actions
4	Containerize an application with Docker
5	Orchestrate containers with Kubernetes and Helm
6	Provision infrastructure with Ansible and Terraform
7	Monitor a solution in production (monitoring & observability)
8	Integrate all these tools in a complete end-to-end pipeline

Each module adds a brick. At the end, you will have assembled a complete DevOps chain — that's the subject of the session project (module 15).

🔧 Mini-exercise — Among the 8 competencies in the table, identify the one concerning monitoring an application in production and name the corresponding module.

✅ See a solution

Competency #7: Monitor a solution in production (monitoring & observability). It is covered in module 13 (Monitoring & observability).

↑ Back to top

3 — The thread — from code to deployment

Throughout the course, we will follow the lifecycle of an application, from code writing to production operation.

Each module covers one or more steps of this cycle.

↑ Back to top

4 — Course rules and working environment

Duration: 15 weeks (1 session per week, 3-4 hours).
Hands-on labs: Each module includes mini-projects and practical work (TP).
Prerequisites: Basic command line (terminal), basic programming notions (loops, functions). No specific DevOps experience needed.
Development environment: Windows / macOS / Linux (all three work identically via Docker).
Tools to install: Only Docker Desktop (https://www.docker.com/products/docker-desktop/) and a text editor (VS Code recommended).

↑ Back to top

5 — Evaluation methods

Mid-session exam (module 16): Practical labs (Git, Jenkins, Kubernetes).
Final project (module 15-17): Design a complete CI/CD pipeline for an application of your choice (Wikipedia platform, SuperKuberneteX, or your own project).
End-of-module quizzes (optional, self-graded).

Passing: 70% on exams + project.

↑ Back to top

6 — Session plan — the 15 modules

Module	Title	Access	Topics
00	Resources	Free	Mini-projects, references
01	Introduction to DevOps and Git Basics	Free	DevOps culture, Git local/remote
02	Advanced Git and GitHub	Free	Branching, merge/rebase, pull requests
03	Java Projects and Maven	Free	Maven, pom.xml, lifecycle
04	Jenkins: Installation and Configuration	Subscription	Jenkins setup, plugins, first job
05	Jenkins: CI/CD Pipeline	Subscription	Jenkinsfile, declarative pipelines
06	Docker, Nginx, and Swarm	Subscription	Images, Dockerfile, containers, Swarm
07	Kubernetes: Basic Concepts	Subscription	Pods, Deployments, Services
08	Kubernetes: Advanced Concepts	Subscription	Ingress, ConfigMaps, Secrets
09	Helm	Subscription	Charts, values.yaml, templates
10	CI/CD with GitHub Actions	Subscription	Workflows, build & push, deploy
11	Ansible	Subscription	Inventories, playbooks, roles
12	Terraform	Subscription	Providers, variables, state, modules
13	Monitoring and Observability	Subscription	Prometheus, Grafana, alerts
14	Integration Workshop	Subscription	Assemble a complete pipeline
15	Choice of Project Topic	Subscription	Session project (architectures)

↑ Back to top

7 — Quiz — Understand the course framework

Q1: Which module covers Terraform?
A) Module 11
B) Module 12 ✅
C) Module 13
D) Module 14

Q2: What is the minimal tooling required to follow this course?
A) Java + Maven + Git
B) Docker Desktop + text editor ✅
C) Kubernetes installed locally
D) AWS account + Jenkins server

Q3: Can I use Windows?
A) No, this course requires Linux
B) Yes, via Docker Desktop ✅
C) Only macOS works
D) It's optional

↑ Back to top

8 — Practice — Prepare your workstation

Your checklist:

Download and install Docker Desktop (https://www.docker.com/products/docker-desktop/)
Verify Docker is running: docker --version and docker compose version
Download a text editor (recommended: VS Code from https://code.visualstudio.com/)
Create a folder ~/devops-course/ for your labs
Open a terminal and navigate to that folder

Expected output:

bash

$ docker --version
Docker version 24.0.5, build abc1234

$ docker compose version
Docker Compose version 2.15.0

If this works, you're ready for the next module!

↑ Back to top

9 — Summary

DevOps is a culture: collaboration, automation, feedback.
This course teaches the complete pipeline: Git → CI/CD → Containers → Orchestration → Monitoring.
All tools run via Docker, no installation mess.
15 modules, hands-on labs, a final project.
Next: Install Docker, and let's go!

Course created by Dr. Haythem REHOUMA — Development and Deployment of Data Solutions

Table of contents