
Learn to install and configure MariaDB on an Ubuntu Linux VM, testing with phpMyAdmin and MySQL Workbench, and automate the setup using Bash, Terraform, Ansible, or Docker.
Install and configure MariaDB on Ubuntu to implement master-slave replication and Galera cluster for high availability, load balancing, and scalable data synchronization across multiple VMs or clouds.
Learn the basics of Docker, Docker Compose, and Docker Swarm through practical labs that cover installing Docker on Windows and Ubuntu, running containers, building images, and deploying MariaDB/MySQL-based apps.
Install and configure Apache and Nginx on Ubuntu, set up virtual hosts and SSL with PHP-FPM, and use Nginx as reverse proxy in a two-VM lab with Vagrant and VirtualBox.
install and configure a Kubernetes cluster on an Ubuntu Linux VM, including the control plane, nodes, networking with Calico, and basic verification for a practical lab.
Discover how to install VirtualBox and Vagrant on macOS, Linux, and Windows to build a home lab with isolated VMs, snapshots, and testing tools like Terraform.
Set up a three-node Kubernetes home lab on Ubuntu VMs, install and configure a master and two workers, and explore Helm and Rancher for cluster management.
Explore public key infrastructure and cryptography foundations, including digital certificates, certificate authorities, TLS, HTTPS, and OpenSSL for secure authentication, encryption, and data integrity.
Master ai literacy for all employees by understanding ai basics, generative ai, prompts, and responsible use with data privacy and human oversight to boost productivity.
Build a high-availability Ubuntu Linux load-balancing lab using HAProxy and Keepalived, balancing Nginx web servers across four virtual machines with VirtualBox and Vagrant.
Explore high availability and load balancing fundamentals, covering redundancy, automatic failover, and scalable architectures using tools like HAProxy, VRRP, keepalive, and virtualization across on premises and cloud environments.
Learn google cloud platform load balancing and high availability with ubuntu nginx servers, gcloud cli, and ansible—from regional to global load balancers with health checks.
Install and automate a MariaDB server on an Ubuntu Linux virtual machine using DigitalOcean droplets for VM virtualization and a MySQL practical lab.
Develop mastery of MySQL and MariaDB fundamentals through a practical lab on Google Colab, covering install and automation tasks on an Ubuntu Linux VM.
The Fundamental Practical Lab: MariaDB Server Installation and Configuration on Ubuntu Linux is a beginner-friendly, hands-on course designed to teach the essential skills for setting up and managing a MariaDB database server in a real-world environment. This course focuses on practical learning through guided lab exercises using Ubuntu Linux, Bash scripting, Terraform, Ansible, and Docker. You’ll learn not just how to install MariaDB, but also how to automate deployments, manage configurations, and connect to the database using phpMyAdmin, MySQL Workbench, and Python scripts.
What is this course about?
This course walks you step-by-step through the entire process of installing and configuring MariaDB on Ubuntu Linux. You’ll start with understanding Linux basics, package management, and system preparation. Then, you’ll perform manual installation using Bash commands and learn how to automate the same process using Infrastructure as Code (IaC) tools like Terraform and Ansible. You’ll also explore how to deploy MariaDB using Docker containers for quick testing and scalability. Once the server is up and running, you’ll connect it to phpMyAdmin and MySQL Workbench for database management and perform basic SQL operations such as creating databases, tables, and running queries.
Why is it important?
MariaDB is one of the most widely used open-source relational databases, trusted for its performance, reliability, and compatibility with MySQL. Understanding how to properly install, configure, and automate MariaDB environments is a crucial foundation for anyone entering the world of system administration, DevOps, or backend development. This course emphasizes hands-on, real-time learning — ensuring that you gain practical skills that can be applied immediately in work environments, cloud deployments, or personal projects.
Advantages of this course
Learn by doing through structured lab activities.
Practice Bash scripting for automation and server configuration.
Gain foundational knowledge of Terraform and Ansible for IaC automation.
Explore Docker containers for portable MariaDB deployments.
Understand how to use phpMyAdmin and MySQL Workbench for visual database management.
Run and test SQL commands using both GUI tools and Python scripts.
By the end of the course, you’ll not only know how to set up a MariaDB server but also how to automate and test your database in multiple environments — a critical skill for any IT professional.
Who should learn this course and why
This course is ideal for students, beginners, aspiring DevOps engineers, Linux enthusiasts, and database administrators who want to gain practical experience in database setup and automation. No prior database experience is required — just a basic understanding of Linux and a willingness to learn.
Future scope and career relevance
As businesses continue to adopt cloud computing and automation, professionals who understand how to deploy and manage databases using IaC and containerization tools will be in high demand. The skills learned in this course provide a strong foundation for advanced studies in DevOps, cloud infrastructure, database administration, and software engineering. You’ll be equipped with the confidence to build, automate, and test real-world MariaDB environments using modern tools and best practices.