DevOps Pro: Linux, Docker, Kubernetes, CI/CD & IaC

DevOps Foundation: Linux & Systems Hands-On is built for learners who are ready to stop reading about Linux and start working with it. Across three focused modules, you'll tackle real-world scenarios covering Linux system administration, automation, and web server and database deployment. This course uses a Practice-and-Compare methodology. You'll attempt each hands-on lab independently, then watch a solution video that walks through the expert workflow — explaining the reasoning behind every decision, not just the commands. This approach helps you find gaps in your own thinking and correct them in real time. You'll work with tools used across the industry: configure SSH hardening and SELinux policies, write Bash scripts and automate tasks with Ansible, deploy Nginx and Apache web servers, secure traffic with SSL/TLS, and manage PostgreSQL and MariaDB databases. By the end, you'll have hands-on experience with the core systems skills expected in Linux administrator and DevOps engineer roles. Who this is for: Learners with basic Linux familiarity who are ready to move beyond theory and build applied, job-ready technical skills. This course is ideal for learners with basic Linux familiarity who are ready to move beyond theory and build applied, job-ready technical skills.

Complete your transformation into a DevOps professional by mastering the philosophy of "Everything as Code." This course focuses on the final piece of the puzzle: removing manual human intervention from the provisioning process. You will learn to use Terraform to "code the cloud," defining VPCs, security groups, and EC2 instances in text files that can be version-controlled and audited. By mastering the Write-Plan-Apply workflow, you will be able to spin up entire data centers in AWS or Azure with a single command. Simultaneously, we explore the power of Ansible for configuration management. You will learn how to use playbooks and Jinja2 templates to automate the setup of thousands of servers at once, ensuring that every machine in your fleet is perfectly configured and secure. Finally, we integrate proactive monitoring by creating CloudWatch alarms via code, ensuring you are alerted to system issues before they affect your users. This course empowers you to treat infrastructure exactly like software, giving you the power to build, scale, and secure global environments with unprecedented speed and precision. Every topic follows a hands-on structure: read the concept, attempt the lab, then watch a solution video that deconstructs the expert reasoning at every step. Who this is for: DevOps engineers and cloud practitioners with AWS or Azure familiarity and networking fundamentals who are ready to automate infrastructure at scale.

Enter the "Big Leagues" of cloud engineering by mastering Kubernetes, the industry-standard orchestrator for managing containers at scale. While Docker provides the vehicle, Kubernetes is the captain of the entire fleet. This course takes you on a deep dive into the Control Plane, moving from the basics of Pods and Services to the advanced management of self-healing, auto-scaling clusters. You will learn how to architect systems that can survive hardware failures and traffic spikes without a second of downtime. We tackle the most difficult challenges in orchestration: handling stateful data and securing sensitive information. You will implement Persistent Volumes to ensure your database data survives pod restarts and utilize Kubernetes Secrets to manage credentials securely. Through hands-on troubleshooting of multi-tier stacks involving Python, Redis, and MySQL, you will gain the expertise needed to manage complex distributed systems. This course concludes by setting up a dedicated Jenkins server within your cluster, bridging the gap between automated pipelines and live orchestration in a true production environment. Who this is for: DevOps engineers, cloud practitioners, and systems professionals with container experience who are ready to operate Kubernetes in real-world environments.

Say goodbye to the "it works on my machine" excuse forever. This course provides an immersive look at containerization, the technology that has revolutionized how we package and deploy software. You will learn to deconstruct monolithic applications into lightweight, portable containers that run identically across any environment—from a local laptop to a massive cloud cluster. We focus heavily on the creation and optimization of Docker images, teaching you how to use multi-stage builds to minimize security risks and image sizes. Beyond single containers, you will master the orchestration of multi-service environments using Docker Compose. We explore the complexities of container networking, volumes for persistent data storage, and the specific configurations needed for Python and database-driven applications. This is not just about running containers; it’s about architecting resilient, cloud-native systems. By the time you complete this course, you will understand how to build portable, immutable infrastructure that serves as the perfect vehicle for modern microservices and high-scale web applications. Every topic follows a three-step structure: read the concept, attempt the hands-on lab independently, then watch a solution video that walks through the expert approach and explains the reasoning at each step. You build skills and the thinking patterns behind them. Who this is for: Developers, DevOps engineers, and systems professionals with Linux administration experience who want to add Docker and container skills to their toolkit.